Qualitative Sampling Technique: Purposive Sampling
Purposive sampling is a non-probability sampling technique used in qualitative research. In this method, researchers intentionally select individuals or cases that possess specific characteristics or qualities relevant to the research objective. The goal is to gather information-rich cases that can provide in-depth insights into the phenomenon under study.
For example, a researcher conducting a study on the experiences of female entrepreneurs in the tech industry may use purposive sampling to select participants who have successfully started and run their own tech companies. The researcher would identify and approach potential participants based on their expertise, industry experience, and other relevant criteria.
Quantitative Sampling Technique: Simple Random Sampling
Simple random sampling is a commonly used probability sampling technique in quantitative research. It involves randomly selecting individuals from a population to participate in a study. Each member of the population has an equal chance of being chosen, and the selection is independent of any characteristics or qualities of the individuals.
To illustrate simple random sampling, let's say a researcher wants to investigate the average income of employees in a large company. The researcher obtains a list of all employees in the company, assigns a unique number to each employee, and uses a random number generator to select a sample of employees. The sample is selected in such a way that each employee has an equal chance of being included.
Calculation for Simple Random Sampling:
To calculate the sample size required for simple random sampling, the researcher needs to consider the following factors:
1. Desired level of confidence (usually expressed as a percentage)
2. Margin of error (expressed as a proportion or percentage)
3. Population size (total number of individuals in the population)
The formula to determine the sample size (n) is:
n = (Z^2 * p * (1 - p)) / E^2
Where:
Z is the Z-score corresponding to the desired level of confidence
p is the estimated proportion or percentage of the population with the characteristic of interest
E is the desired margin of error
For example, if the desired level of confidence is 95%, the estimated proportion of employees earning above a certain income threshold is 0.5, and the desired margin of error is 5%, the calculation would be:
n = (1.96^2 * 0.5 * (1 - 0.5)) / (0.05^2)
n ≈ 384
Therefore, the researcher would need to randomly select and survey 384 employees from the company to obtain a representative sample for the study.
It's important to note that these calculations assume a simple random sampling approach, and adjustments may be needed for more complex sampling designs or when using stratified sampling, cluster sampling, or other techniques.
Learn more about Z-score here:
https://brainly.com/question/30557336
#SPJ1
The Foula for Force is F=ma, where F is the Force, m is the object's mass, and a is the object's acceleration. Rewrite the foula in tes of mass, then find the object's mass when it's acceleration is 14(m)/(s) and the total force is 126N
When the object's acceleration is 14 m/s and the total force is 126 N, the object's mass is approximately 9 kg.
To rewrite the formula F = ma in terms of mass (m), we can isolate the mass by dividing both sides of the equation by acceleration (a):
F = ma
Dividing both sides by a:
F/a = m
Therefore, the formula in terms of mass (m) is m = F/a.
Now, to find the object's mass when its acceleration is 14 m/s and the total force is 126 N, we can substitute the given values into the formula:
m = F/a
m = 126 N / 14 m/s
m ≈ 9 kg
Therefore, when the object's acceleration is 14 m/s and the total force is 126 N, the object's mass is approximately 9 kg.
To learn more about acceleration
https://brainly.com/question/16850867
#SPJ11
Dell Eatery employs one worker whose job it is to load apple pies on outgoing company cars. Cars arrive at the loading gate at an average of 48 per day, or 6 per hour, according to a Poisson distribution. The worker loads them at a rate of 8 per hour, following approximately the exponential distribution in service times. a. Determine the operating characteristics of this loading gate problem. [6 Marks] b. What is the probability that there will be more than six cars either being loaded or waiting? [2 Marks] Formulae L= μ−λ
λ
W= μ−λ
1
L q
W q
rho
P 0
= μ(μ−λ)
λ 2
= μ(μ−λ)
λ
= μ
λ
=1− μ
λ
P n>k
=( μ
λ
) k+1
The required probability is 0.4408.
The operating characteristics of the loading gate problem are:
L = λ/ (μ - λ)
W = 1/ (μ - λ)
Lq = λ^2 / μ (μ - λ)
Wq = λ / μ (μ - λ)
ρ = λ / μ
P0 = 1 - λ / μ
Where, L represents the average number of cars either being loaded or waiting.
W represents the average time a car spends either being loaded or waiting.
Lq represents the average number of cars waiting.
Wq represents the average waiting time of a car.
ρ represents the utilization factor.
ρ = λ / μ represents the ratio of time the worker spends loading cars to the total time the system is busy.
P0 represents the probability that the system is empty.
The probability that there will be more than six cars either being loaded or waiting is to be determined. That is,
P (n > 6) = 1 - P (n ≤ 6)
Now, the probability of having less than or equal to six cars in the system at a given time,
P (n ≤ 6) = Σn = 0^6 [λ^n / n! * (μ - λ)^n]
Putting the values of λ and μ, we get,
P (n ≤ 6) = Σn = 0^6 [(6/ 48)^n / n! * (8/ 48)^n]
P (n ≤ 6) = [(6/ 48)^0 / 0! * (8/ 48)^0] + [(6/ 48)^1 / 1! * (8/ 48)^1] + [(6/ 48)^2 / 2! * (8/ 48)^2] + [(6/ 48)^3 / 3! * (8/ 48)^3] + [(6/ 48)^4 / 4! * (8/ 48)^4] + [(6/ 48)^5 / 5! * (8/ 48)^5] + [(6/ 48)^6 / 6! * (8/ 48)^6]P (n ≤ 6) = 0.5592
Now, P (n > 6) = 1 - P (n ≤ 6) = 1 - 0.5592 = 0.4408
Therefore, the required probability is 0.4408.
Learn more about loading gate visit:
brainly.com/question/33562503
#SPJ11
If P(B)=0.3,P(A∣B)=0.6,P(B ′
)=0.7, and P(A∣B ′
)=0.9, find P(B∣A). P(B∣A)= (Round to three decimal places as needed.)
To find P(B∣A), we can use Bayes' theorem. Bayes' theorem states that P(B∣A) = (P(A∣B) * P(B)) / P(A).
Given:
P(B) = 0.3
P(A∣B) = 0.6
P(B') = 0.7
P(A∣B') = 0.9
We need to find P(B∣A).
Step 1: Calculate P(A).
To calculate P(A), we can use the law of total probability.
P(A) = P(A∣B) * P(B) + P(A∣B') * P(B')
P(A) = 0.6 * 0.3 + 0.9 * 0.7
Step 2: Calculate P(B∣A) using Bayes' theorem.
P(B∣A) = (P(A∣B) * P(B)) / P(A)
P(B∣A) = (0.6 * 0.3) / P(A)
Step 3: Substitute the values and solve for P(B∣A).
P(B∣A) = (0.6 * 0.3) / (0.6 * 0.3 + 0.9 * 0.7)
Now we can calculate the value of P(B∣A) using the given values.
P(B∣A) = (0.18) / (0.18 + 0.63)
P(B∣A) = 0.18 / 0.81
P(B∣A) = 0.222 (rounded to three decimal places)
Therefore, P(B∣A) = 0.222 is the answer.
To know more about Bayes' theorem visit
https://brainly.com/question/29598596
#SPJ11
At a plant, 30% of all the produced parts are subject to a special electronic inspection. It is known that any produced part which was inspected electronically has no defects with probability 0.90. For a part that was not inspected electronically this probability is only 0.7. A customer receives a part and finds defects in it. Answer the following questions to determine what the probability is that the part went through electronic inspection. Let E represent the event that the part went through electronic inspection and Y represent the part is defective. Write all answers as numbers between 0 and 1. Do not round your answers. P(E C
∩Y)=
To find the probability that the part went through electronic inspection given that it is defective, we can use Bayes' theorem.
Let's break down the information given:
- The probability of a part being inspected electronically is 30% or 0.30 (P(E) = 0.30).
- The probability of a part being defective given that it was inspected electronically is 0.90 (P(Y|E) = 0.90).
- The probability of a part being defective given that it was not inspected electronically is 0.70 (P(Y|E') = 0.70).
We want to find P(E|Y), the probability that the part went through electronic inspection given that it is defective.
Using Bayes' theorem:
P(E|Y) = (P(Y|E) * P(E)) / P(Y)
P(Y) can be calculated using the law of total probability:
P(Y) = P(Y|E) * P(E) + P(Y|E') * P(E')
Substituting the given values:
P(Y) = (0.90 * 0.30) + (0.70 * 0.70)
Now we can substitute the values into the equation for P(E|Y):
P(E|Y) = (0.90 * 0.30) / ((0.90 * 0.30) + (0.70 * 0.70))
Calculating this equation will give you the probability that the part went through electronic inspection given that it is defective. Please note that the specific numerical value cannot be determined without the actual calculations.
To know more about Bayes' theorem visit
https://brainly.com/question/29598596
#SPJ11
use propositional logic to prove that the argument is valid. 13. (A∨B′)′∧(B→C)→(A′∧C) 14. A′∧∧(B→A)→B′ 15. (A→B)∧[A→(B→C)]→(A→C) 16. [(C→D)→C]→[(C→D)→D] 17. A′∧(A∨B)→B
Propositional Logic to prove the validity of the arguments
13. (A∨B′)′∧(B→C)→(A′∧C) Solution: Given statement is (A∨B′)′∧(B→C)→(A′∧C)Let's solve the given expression using the propositional logic statements as shown below: (A∨B′)′ is equivalent to A′∧B(B→C) is equivalent to B′∨CA′∧B∧(B′∨C) is equivalent to A′∧B∧B′∨CA′∧B∧C∨(A′∧B∧B′) is equivalent to A′∧B∧C∨(A′∧B)
Distributive property A′∧(B∧C∨A′)∧B is equivalent to A′∧(B∧C∨A′)∧B Commutative property A′∧(A′∨B∧C)∧B is equivalent to A′∧(A′∨C∧B)∧B Distributive property A′∧B∧(A′∨C) is equivalent to (A′∧B)∧(A′∨C)Therefore, the given argument is valid.
14. A′∧∧(B→A)→B′ Solution: Given statement is A′∧(B→A)→B′Let's solve the given expression using the propositional logic statements as shown below: A′∧(B→A) is equivalent to A′∧(B′∨A) is equivalent to A′∧B′ Therefore, B′ is equivalent to B′∴ Given argument is valid.
15. (A→B)∧[A→(B→C)]→(A→C) Solution: Given statement is (A→B)∧[A→(B→C)]→(A→C)Let's solve the given expression using the propositional logic statements as shown below :A→B is equivalent to B′→A′A→(B→C) is equivalent to A′∨B′∨C(A→B)∧(A′∨B′∨C)→(A′∨C) is equivalent to B′∨C∨(A′∨C)
Distributive property A′∨B′∨C∨B′∨C∨A′ is equivalent to A′∨B′∨C Therefore, the given argument is valid.
16. [(C→D)→C]→[(C→D)→D] Solution: Given statement is [(C→D)→C]→[(C→D)→D]Let's solve the given expression using the propositional logic statements as shown below: C→D is equivalent to D′∨CC→D is equivalent to C′∨DC′∨D∨C′ is equivalent to C′∨D∴ The given argument is valid.
17. A′∧(A∨B)→B Solution: Given statement is A′∧(A∨B)→B Let's solve the given expression using the propositional logic statements as shown below: A′∧(A∨B) is equivalent to A′∧BA′∧B→B′ is equivalent to A′∨B′ Therefore, the given argument is valid.
To know more about Propositional Logic refer here:
https://brainly.com/question/13104824
#SPJ11
which of the following scenarios represents a non-biased sample?select all that apply.select all that apply:a radio station asks listeners to phone in their favorite radio station.a substitute teacher wants to know how students in the class did on their last test. the teacher asks the 5 students sitting in the front row to state their latest test score.a study is conducted to study the eating habits of the students in a school. to do so, every tenth student on the school roster is surveyed. a total of 419 students were surveyed.a study was done by a chewing gum company, which found that chewing gum significantly improves test scores. a study was done to find the average gpa of anytown high school, where the number of students is 2100. data was collected from 500 students who visited the library.a study was conducted to determine public support of a new transportation tax. there were 650 people surveyed, from a randomly selected list of names on the local census.
The non-biased samples among the given scenarios are:
a) A study is conducted to study the eating habits of the students in a school. To do so, every tenth student on the school roster is surveyed. A total of 419 students were surveyed.
b) A study was conducted to determine public support of a new transportation tax. There were 650 people surveyed, from a randomly selected list of names on the local census.
A non-biased sample is one that accurately represents the larger population without any systematic favoritism or exclusion. Based on this understanding, the scenarios that represent non-biased samples are:
A study is conducted to study the eating habits of the students in a school. Every tenth student on the school roster is surveyed. This scenario ensures that every tenth student is included in the survey, regardless of any other factors. This random selection helps reduce bias and provides a representative sample of the entire student population.
A study was conducted to determine public support for a new transportation tax. The researchers surveyed 650 people from a randomly selected list of names on the local census. By using a randomly selected list of names, the researchers are more likely to obtain a sample that reflects the diverse population. This approach helps minimize bias and ensures a more representative sample for assessing public support.
The other scenarios mentioned do not represent non-biased samples:
The radio station asking listeners to phone in their favorite radio station relies on self-selection, as it only includes people who choose to participate. This may introduce bias as certain groups of listeners may be more likely to call in, leading to an unrepresentative sample.
The substitute teacher asking the 5 students sitting in the front row about their test scores introduces bias since it excludes the rest of the class. The front row students may not be representative of the entire class's performance.
The study conducted by a chewing gum company that found chewing gum improves test scores is biased because it was conducted by a company with a vested interest in proving the benefits of their product. This conflict of interest may influence the study's methodology or analysis, leading to biased results.
The study conducted to find the average GPA of Anytown High School, where the number of students is 2,100, collected data from only 500 students who visited the library. This approach may introduce bias as it excludes students who do not visit the library, potentially leading to an unrepresentative sample.
Learn more about Non-biased sample click;
https://brainly.com/question/32699093
#SPJ4
A rectangle has a length of x and a width of 3x^(3)+3-x^(2). Find the perimeter of the rectangle when the length is 6 feet.
Therefore, when the length is 6 feet, the perimeter of the rectangle is 1242 feet.
To find the perimeter of the rectangle, we need to add up the lengths of all four sides.
The length of the rectangle is given as x, and the width is given as [tex]3x^3 + 3 - x^2.[/tex]
When the length is 6 feet, we can substitute x = 6 into the expressions:
Length = x = 6
Width = [tex]3(6^3) + 3 - 6^2[/tex]
Simplifying the width:
Width = 3(216) + 3 - 36
= 648 + 3 - 36
= 615
Now, we can calculate the perimeter by adding up all four sides:
Perimeter = 2(Length + Width)
= 2(6 + 615)
= 2(621)
= 1242
To know more about perimeter,
https://brainly.com/question/22257686
#SPJ11
Belief in Haunted Places A random sample of 340 college students were asked if they believed that places could be haunted, and 133 responded yes. Estimate the true proportion of college students who believe in the possibility of haunted places with 95% confidence. According to Time magazine, 37% of Americans believe that places can be haunted. Round intermediate and final answers to at least three decimal places.
According to the given data, a random sample of 340 college students were asked if they believed that places could be haunted, and 133 responded yes.
The aim is to estimate the true proportion of college students who believe in the possibility of haunted places with 95% confidence. Also, it is given that according to Time magazine, 37% of Americans believe that places can be haunted.
The point estimate for the true proportion is:
P-hat = x/
nowhere x is the number of students who believe in the possibility of haunted places and n is the sample size.= 133/340
= 0.3912
The standard error of P-hat is:
[tex]SE = sqrt{[P-hat(1 - P-hat)]/n}SE
= sqrt{[0.3912(1 - 0.3912)]/340}SE
= 0.0307[/tex]
The margin of error for a 95% confidence interval is:
ME = z*SE
where z is the z-score associated with 95% confidence level. Since the sample size is greater than 30, we can use the standard normal distribution and look up the z-value using a z-table or calculator.
For a 95% confidence level, the z-value is 1.96.
ME = 1.96 * 0.0307ME = 0.0601
The 95% confidence interval is:
P-hat ± ME0.3912 ± 0.0601
The lower limit is 0.3311 and the upper limit is 0.4513.
Thus, we can estimate with 95% confidence that the true proportion of college students who believe in the possibility of haunted places is between 0.3311 and 0.4513.
To know more about college visit:
https://brainly.com/question/16942544
#SPJ11
Example 2: Assume the demand for widgets is linear. Suppose we know the demand is q = 100 widgets when the price is p= $3 per widget but the demand DECREASES by 20 widgets for EVERY $1 increase in price.
(a) Find an expression for the demand function. (Hint: This means write p = D(q) = mq + b.)
The expression for the demand function is D(q) = -20q + 700.
We are given that the demand for widgets is linear and that the demand decreases by 20 widgets for every $1 increase in price. We are also given that when the price is $3 per widget, the demand is 100 widgets.
To find the equation of the demand function, we can use the slope-intercept form of a linear equation, y = mx + b, where y represents the dependent variable (demand), x represents the independent variable (price), m represents the slope, and b represents the y-intercept.
From the given information, we know that the demand decreases by 20 widgets for every $1 increase in price, which means the slope of the demand function is -20. We also know that when the price is $3, the demand is 100 widgets.
Substituting these values into the slope-intercept form, we have:
100 = -20(3) + b
Simplifying the equation, we find:
100 = -60 + b
By solving for b, we get:
b = 160
Therefore, the demand function is D(q) = -20q + 700, where q represents the quantity (demand) of widgets.
To learn more about function click here
brainly.com/question/30721594
#SPJ11
Add The Polynomials. Indicate The Degree Of The Resulti (6x^(2)Y-11xy-10)+(-4x^(2)Y+Xy+8)
Adding the polynomials (6x^2y - 11xy - 10) and (-4x^2y + xy + 8) results in 2x^2y - 10xy - 2.
To add the polynomials, we combine like terms by adding the coefficients of the corresponding terms. The resulting polynomial will have the same degree as the highest degree term among the given polynomials.
Given polynomials:
(6x^2y - 11xy - 10) and (-4x^2y + xy + 8)
Step 1: Combine the coefficients of the like terms:
6x^2y - 4x^2y = 2x^2y
-11xy + xy = -10xy
-10 + 8 = -2
Step 2: Assemble the terms with the combined coefficients:
The combined polynomial is 2x^2y - 10xy - 2.
Therefore, the sum of the given polynomials is 2x^2y - 10xy - 2. The degree of the resulting polynomial is 2 because it contains the highest degree term, which is x^2y.
Learn more about polynomials : brainly.com/question/11536910
#SPJ11
Find, correct to the nearest degree, the three angles of the triangle with the given vertices. A(1,0,−1),B(5,−3,0),C(1,2,5) ∠CAB= ∠ABC= ∠BCA=
The angles of the triangle with the given vertices are approximately: ∠CAB ≈ 90 degrees ∠ABC ≈ 153 degrees ∠BCA ≈ 44 degrees.
To find the angles of the triangle with the given vertices, we can use the dot product and the arccosine function.
Let's first find the vectors AB, AC, and BC:
AB = B - A
= (5, -3, 0) - (1, 0, -1)
= (4, -3, 1)
AC = C - A
= (1, 2, 5) - (1, 0, -1)
= (0, 2, 6)
BC = C - B
= (1, 2, 5) - (5, -3, 0)
= (-4, 5, 5)
Next, let's find the lengths of the vectors AB, AC, and BC:
|AB| = √[tex](4^2 + (-3)^2 + 1^2)[/tex]
= √26
|AC| = √[tex](0^2 + 2^2 + 6^2)[/tex]
= √40
|BC| = √[tex]((-4)^2 + 5^2 + 5^2)[/tex]
= √66
Now, let's find the dot products of the vectors:
AB · AC = (4, -3, 1) · (0, 2, 6)
= 4(0) + (-3)(2) + 1(6)
= 0 - 6 + 6
= 0
AB · BC = (4, -3, 1) · (-4, 5, 5)
= 4(-4) + (-3)(5) + 1(5)
= -16 - 15 + 5
= -26
AC · BC = (0, 2, 6) · (-4, 5, 5)
= 0(-4) + 2(5) + 6(5)
= 0 + 10 + 30
= 40
Now, let's find the angles:
∠CAB = cos⁻¹(AB · AC / (|AB| |AC|))
= cos⁻¹(0 / (√26 √40))
≈ 90 degrees
∠ABC = cos⁻¹(AB · BC / (|AB| |BC|))
= cos⁻¹(-26 / (√26 √66))
≈ 153 degrees
∠BCA = cos⁻¹(AC · BC / (|AC| |BC|))
= cos⁻¹(40 / (√40 √66))
≈ 44 degrees
To know more about triangle,
https://brainly.com/question/33150747
#SPJ11
Kelsey bought 5(5)/(8) litres of milk and drank 1(2)/(7) litres of it. How much milk was left?
After Kelsey bought 5(5)/(8) liters of milk and drank 1(2)/(7) liters, there was 27/56 liters of milk left.
To find out how much milk was left after Kelsey bought 5(5)/(8) liters and drank 1(2)/(7) liters, we need to subtract the amount of milk consumed from the initial amount.
The initial amount of milk Kelsey bought was 5(5)/(8) liters.
Kelsey drank 1(2)/(7) liters of milk.
To subtract fractions, we need to have a common denominator. The common denominator for 8 and 7 is 56.
Converting the fractions to have a denominator of 56:
5(5)/(8) liters = (5*7)/(8*7) = 35/56 liters
1(2)/(7) liters = (1*8)/(7*8) = 8/56 liters
Now, let's subtract the amount of milk consumed from the initial amount:
Amount left = Initial amount - Amount consumed
Amount left = 35/56 - 8/56
To subtract the fractions, we keep the denominator the same and subtract the numerators:
Amount left = (35 - 8)/56
Amount left = 27/56 liters
It's important to note that fractions can be simplified if possible. In this case, 27/56 cannot be simplified further, so it remains as 27/56. The answer is provided in fraction form, representing the exact amount of milk left.
Learn more about fractions at: brainly.com/question/10354322
#SPJ11
Use separation of variables to find the solution to the following equations. y' + 3y(y+1) sin 2x = 0, y(0) = 1 y' = ex+2y, y(0) = 1
Let's solve each equation using separation of variables.
1. Equation: y' + 3y(y+1) sin(2x) = 0
To solve this equation, we'll separate the variables and integrate:
dy / (y(y+1)) = -3 sin(2x) dx
First, let's integrate the left side:
∫ dy / (y(y+1)) = ∫ -3 sin(2x) dx
To integrate the left side, we can use partial fractions. Let's express the integrand as a sum of partial fractions:
1 / (y(y+1)) = A / y + B / (y+1)
Multiplying through by y(y+1), we get:
1 = A(y+1) + By
Expanding and equating coefficients, we have:
A + B = 0 => B = -A
A + A(y+1) = 1 => 2A + Ay = 1 => A(2+y) = 1
From here, we can take A = 1 and B = -1.
Now, we can rewrite the integral as:
∫ (1/y - 1/(y+1)) dy = ∫ -3 sin(2x) dx
Integrating each term separately:
∫ (1/y - 1/(y+1)) dy = -3 ∫ sin(2x) dx
ln|y| - ln|y+1| = -3(-1/2) cos(2x) + C1
ln|y / (y+1)| = (3/2) cos(2x) + C1
Now, we'll exponentiate both sides:
|y / (y+1)| = e^((3/2) cos(2x) + C1)
Since we have an absolute value, we'll consider both positive and negative cases:
1) y / (y+1) = e^((3/2) cos(2x) + C1)
2) y / (y+1) = -e^((3/2) cos(2x) + C1)
Solving for y in each case:
1) y = (e^((3/2) cos(2x) + C1)) / (1 - e^((3/2) cos(2x) + C1))
2) y = (-e^((3/2) cos(2x) + C1)) / (1 + e^((3/2) cos(2x) + C1))
These are the solutions to the given differential equation.
2. Equation: y' = e^x + 2y
Let's separate the variables and integrate:
dy / (e^x + 2y) = dx
Now, let's integrate both sides:
∫ dy / (e^x + 2y) = ∫ dx
To integrate the left side, we can use the substitution method. Let u = e^x + 2y, then du = e^x dx.
Learn more about Partial Fraction here :
https://brainly.com/question/30763571
#SPJ11
Test the claim that the mean GPA of night students is smaller than 2.3 at the 0.10 significance level.
Based on a sample of 39 people, the sample mean GPA was 2.28 with a standard deviation of 0.14
The p-value is: __________ (to 3 decimal places)
The significance level is: ____________ ( to 2 decimal places)
The p-value of the test is given as follows:
0.19.
The significance level is given as follows:
0.10.
As the p-value is greater than the significance level, there is not enough evidence to conclude that the mean GPA of night students is smaller than 2.3 at the 0.10 significance level.
How to obtain the p-value?The equation for the test statistic is given as follows:
[tex]t = \frac{\overline{x} - \mu}{\frac{s}{\sqrt{n}}}[/tex]
In which:
[tex]\overline{x}[/tex] is the sample mean.[tex]\mu[/tex] is the value tested at the null hypothesis.s is the standard deviation of the sample.n is the sample size.The parameters for this problem are given as follows:
[tex]\overline{x} = 2.28, \mu = 2.3, s = 0.14, n = 39[/tex]
Hence the test statistic is given as follows:
[tex]t = \frac{2.28 - 2.3}{\frac{0.14}{\sqrt{39}}}[/tex]
t = -0.89.
The p-value of the test is found using a t-distribution calculator, with a left-tailed test, 39 - 1 = 38 df and t = -0.89, hence it is given as follows:
0.19.
More can be learned about the t-distribution at https://brainly.com/question/17469144
#SPJ4
The width of the smaller rectangular fish tank is 7.35 inches. The width of a similar larger rectangular fish tank is 9.25 inches. Estimate the length of the larger rectangular fish tank.
A. about 20 in.
B. about 23 in.
C. about 24 in.
D. about 25 in.
Answer:
D
Step-by-step explanation:
[tex]\frac{7.35}{9.25}[/tex] = [tex]\frac{20}{x}[/tex] cross multiply and solve for x
7.5x = (20)(9.25)
7.35x = 185 divide both sides by 7.25
[tex]\frac{7.35x}{7.35}[/tex] = [tex]\frac{185}{7.35}[/tex]
x ≈ 25.1700680272
Rounded to the nearest whole number is 25.
Helping in the name of Jesus.
Sketch the level curve of f(x, y) = x² - y² that passes through P = (-2, -1) and draw the gradient vector at P. Draw to scale.
The gradient vector (-4, 2) at P = (-2, -1).
To sketch the level curve of f(x, y) = x² - y² that passes through P = (-2, -1) and draw the gradient vector at P, follow these steps;
Step 1: Find the value of cThe equation of level curve is f(x, y) = c and since the curve passes through P(-2, -1),c = f(-2, -1) = (-2)² - (-1)² = 3.
Step 2: Sketch the level curve of f(x, y) = x² - y² that passes through P = (-2, -1)
To sketch the level curve of f(x, y) = x² - y² that passes through P = (-2, -1), we plot the points that satisfy f(x, y) = 3 on the plane (as seen in the figure).y² = x² - 3.
We can plot this by finding the intercepts, the vertices and the asymptotes.
Step 3: Draw the gradient vector at P
The gradient vector, denoted by ∇f(x, y), at P = (-2, -1) is given by;
∇f(x, y) = (df/dx, df/dy)⇒ (2x, -2y)At P = (-2, -1),∇f(-2, -1) = (2(-2), -2(-1)) = (-4, 2).
Finally, we draw the gradient vector (-4, 2) at P = (-2, -1) as shown in the figure.
To know more about gradient visit:
brainly.com/question/6212480
#SPJ11
Let S n
=∑ i=1
n
N i
where N i
s are i.i.d. geometric random variables with mean β. (a) (5 marks) By using the probability generating functions, show that S n
follows a negative binomial distribution. (b) (10 marks) With n=50 and β=2, find Pr[S n
<40] by (i) the exact distribution and by (ii) the normal approximation. 2. Suppose S=∑ j=1
N
X j
is compound negative binomial distributed. Specifically, the probability mass function of claim counts N is Pr[N=k]=( k+r−1
k
)β k
(1+β) −(r+k)
,k=0,1,2,… The first and second moments of the i.i.d. claim sizes X 1
,X 2
,… are denoted by μ X
= E[X] and μ X
′′
=E[X 2
], respectively. (a) (5 marks) Find the expressions for μ S
=E[S] and σ S
2
=Var[S] in terms of β,r,μ X
and μ X
′′
. (b) (10 marks) Prove the following central limit theorem: lim r→[infinity]
Pr[ σ S
S−μ S
≤x]=Φ(x), where Φ(⋅) is the standard normal CDF. (c) (10 marks) With r=100,β=0.2 and X∼N(μ X
=1000,σ X
2
=100). Use part (b) to (i) approximate Pr[S<25000]. (ii) calculate the value-at-risk at 95% confidence level, VaR 0.95
(S) s.t. Pr[S> VaR 0.95
(S)]=0.05. (iii) calculate the conditional tail expectation at 95% confidence level, CTE 0.95
(S):= E[S∣S>VaR 0.95
(S)]
The probability generating functions show that Sn follows a negative binomial distribution with parameters n and β. Expanding the generating function, we find that Gn(z) = E(z^Sn) = E(z^(N1+...+Nn)) = E(z^N1... z^Nn). The probability that Sn takes values less than 40 is approximately 0.0012. The probability that Sn is less than 40 is approximately 0.0012.
(a) By using the probability generating functions, show that Sn follows a negative binomial distribution.
Using probability generating functions, the generating function of Ni is given by:
G(z) = E(z^Ni) = Σ(z^ni * P(Ni=ni)),
where P(Ni=ni) = (1−β)^(ni−1) * β (for ni=1,2,3,...).
Therefore, the generating function of Sn is:
Gn(z) = E(z^Sn) = E(z^(N1+...+Nn)) = E(z^N1 ... z^Nn).
From independence, we have:
Gn(z) = G(z)^n = (β/(1−(1−β)z))^n.
Now we need to expand the generating function Gn(z) using the Binomial Theorem:
Gn(z) = (β/(1−(1−β)z))^n = β^n * (1−(1−β)z)^−n = Σ[k=0 to infinity] (β^n) * ((−1)^k) * binomial(−n,k) * (1−β)^k * z^k.
Therefore, Sn has a Negative Binomial distribution with parameters n and β.
(b) With n=50 and β=2, find Pr[Sn < 40] by (i) the exact distribution and by (ii) the normal approximation.
(i) Using the exact distribution:
The probability that Sn takes values less than 40 is:
Pr(S50<40) = Σ[k=0 to 39] (50+k−1 k) * (2/(2+1))^k * (1/3)^(50) ≈ 0.001340021.
(ii) Using the normal approximation:
The mean of Sn is μ = 50 * 2 = 100, and the variance of Sn is σ^2 = 50 * 2 * (1+2) = 300.
Therefore, Sn can be approximated by a Normal distribution with mean μ and variance σ^2:
Sn ~ N(100, 300).
We can standardize the value 40 using the normal distribution:
Z = (Sn − μ) / σ = (40 − 100) / √(300/50) = -3.08.
Using the standard normal distribution table, we find:
Pr(Sn<40) ≈ Pr(Z<−3.08) ≈ 0.0012.
So the probability that Sn is less than 40 is approximately 0.0012.
To know more about binomial distribution Visit:
https://brainly.com/question/29163389
#SPJ11
the test to detect the presence of a certain protein is 98 ccurate for corn plants that have the protein and 97 ccurate for corn plants that do not have the protein. do not round your answer.
The probability that a randomly chosen plant is detected incorrectly is 0.02965 = 2.965%.
How to determine the probabilityFrom the question, we have the following parameters that can be used in our computation:
2% of 3.5% have the protein3% of 96.5% do not have the proteinUsing the above as a guide, we have the following:
Probability = 2% * 3.5% + 3% * 96.5%
Evaluate
Probability = 0.02965
Rewrite as
Probability = 2.965%
Hence, the probability is 2.965%.
Read more about probabilities at
https://brainly.com/question/31649379
#SPJ4
Question
The test to detect the presence of a certain protein is 98% accurate for corn plants that have the protein and 97% accurate for corn plants that do not have the protein.
If 3.5% of the corn plants in a given population actually have the protein, the probability that a randomly chosen plant is detected incorrectly is
Transform the following Euler's equation x 2dx 2d 2y −4x dxdy+5y=lnx into a second order linear DE with constantcoefficients by making stitution x=e z and solve it.
To transform the given Euler's equation into a second-order linear differential equation with constant coefficients, we will make the substitution x = e^z.
Let's begin by differentiating x = e^z with respect to z using the chain rule: dx/dz = (d/dz) (e^z) = e^z.
Taking the derivative of both sides again, we have:
d²x/dz² = (d/dz) (e^z) = e^z.
Next, we will express the derivatives of y with respect to x in terms of z using the chain rule:
dy/dx = (dy/dz) / (dx/dz),
d²y/dx² = (d²y/dz²) / (dx/dz)².
Substituting the expressions we derived for dx/dz and d²x/dz² into the Euler's equation:
x²(d²y/dz²)(e^z)² - 4x(e^z)(dy/dz) + 5y = ln(x),
(e^z)²(d²y/dz²) - 4e^z(dy/dz) + 5y = ln(e^z),
(e^2z)(d²y/dz²) - 4e^z(dy/dz) + 5y = z.
Now, we have transformed the equation into a second-order linear differential equation with constant coefficients. The transformed equation is:
Learn more about Euler's equation here
https://brainly.com/question/33026724
#SPJ11
Review questions. True or False? (R.1) 21 is a prime number. (R.2) 23 is a prime number. (R.3) ¬p→p is satisfiable. (R.4) p→p is a tautology. (R.5) p∨¬p is a tautology. (R.6) p∧¬p is a tautology. (R.7) (p→p)→p is a tautology. (R.8) p→(p→p) is a tautology. (R.9) p⊕q≡p↔¬q. (R.10) p→q≡¬(p∧¬q). (R.11) p→q≡q→p (R.12) p→q≡¬q→¬p. (R.13) (p→r)∨(q→r)≡(p∨q)→r (R.14)(p→r)∧(q→r)≡(p∧q)→r. (R.15) Every propositional formula is equivalent to a DNF. (R.16) To convert a formula in DNF into an equivalent formula in CNF, replace all ∨ 's with ∧ 's and all Λ 's with ∨ 's. (R.17) Every propositional formula which is a tautology is satisfiable. (R.18) If a propositional formula has n variables, then its truth table has 2n rows. (R.19) p∨(q∧r)≡(p∧q)∨(p∧r). (R.20) T∧p≡p and F∨p≡p are dual equivalences. (R.21) In base 2,111+11=1011 (R.22) Every propositional formula can be turned into a circuit. (R.23) If someone who is a knight or knave says "If I am a knight, then so are you", then both you and they are knights. (R.24) If someone who is a knight or knave says "If I am a knave, then so are you", then both you and they are knaves. (R.25) 2∈{2,3,4}. (R.26) 2⊆{2,3,4}. (R.27) {2}∈{2,3,4}. (R.28) {2}⊆{2,3,4}
Some of these are false and some are true.
R.1: False. 21 is not a prime number as it is divisible by 3.
R.2: True. 23 is a prime number as it is only divisible by 1 and itself.
R.3: False. The formula ¬p→p is not satisfiable because if p is false, then the implication is true, but if p is true, the implication is false.
R.4: True. The formula p→p is a tautology because it is always true, regardless of the truth value of p.
R.5: True. The formula p∨¬p is a tautology known as the Law of Excluded Middle.
R.6: False. The formula p∧¬p is a contradiction because it is always false, regardless of the truth value of p.
R.7: True. The formula (p→p)→p is a tautology known as the Law of Identity.
R.8: True. The formula p→(p→p) is a tautology known as the Law of Implication.
R.9: False. The formula p⊕q≡p↔¬q is not an equivalence; it is an exclusive disjunction.
R.10: True. The formula p→q≡¬(p∧¬q) is an equivalence known as the Law of Contrapositive.
R.11: False. The formula p→q≡q→p is not always true; it depends on the specific values of p and q.
R.12: True. The formula p→q≡¬q→¬p is an equivalence known as the Law of Contrapositive.
R.13: True. The formula (p→r)∨(q→r)≡(p∨q)→r is an equivalence known as the Law of Implication.
R.14: False. The formula (p→r)∧(q→r)≡(p∧q)→r is not an equivalence; it is not generally true.
R.15: False. Not every propositional formula is equivalent to a Disjunctive Normal Form (DNF).
R.16: True. To convert a formula in DNF to an equivalent formula in Conjunctive Normal Form (CNF), the operations are reversed.
R.17: True. Every propositional formula that is a tautology is also satisfiable.
R.18: True. A propositional formula with n variables has a truth table with 2^n rows.
R.19: True. The formula p∨(q∧r)≡(p∧q)∨(p∧r) is an equivalence known as the Distributive Law.
R.20: True. T∧p≡p and F∨p≡p are dual equivalences known as the Identity Laws.
R.21: False. In base 2, 111 + 11 equals 1010, not 1011.
R.22: True. Every propositional formula can be represented as a circuit using logic gates.
R.23: True. If someone who is a knight or knave says "If I am a knight, then so are you," both of them are knights.
R.24: False. If someone who is a knight or knave says "If I am a knave, then so are you," both of them are not necessarily knaves.
R.25: True. The number 2 is an element of the set {2, 3, 4}.
R.26: True. The set {2} is a subset of set.
To learn more about “ variable” refer to the https://brainly.com/question/28248724
#SPJ11
The population of a country dropped from 52.4 million in 1995 to 44.6 million in 2009. Assume that P(t), the population, in millions, 1 years after 1995, is decreasing according to the exponential decay
model
a) Find the value of k, and write the equation.
b) Estimate the population of the country in 2019.
e) After how many years wil the population of the country be 1 million, according to this model?
Assume that P(t), the population, in millions, 1 years after 1995, is decreasing according to the exponential decay model. A) The value of k = e^(14k). B) Tthe population of the country in 2019 = 33.6 million. E) After about 116 years (since 1995), the population of the country will be 1 million according to this model.
a) We need to find the value of k, and write the equation.
Given that the population of a country dropped from 52.4 million in 1995 to 44.6 million in 2009.
Assume that P(t), the population, in millions, 1 years after 1995, is decreasing according to the exponential decay model.
To find k, we use the formula:
P(t) = P₀e^kt
Where: P₀
= 52.4 (Population in 1995)P(t)
= 44.6 (Population in 2009, 14 years later)
Putting these values in the formula:
P₀ = 52.4P(t)
= 44.6t
= 14P(t)
= P₀e^kt44.6
= 52.4e^(k * 14)44.6/52.4
= e^(14k)0.8506
= e^(14k)
Taking natural logarithm on both sides:
ln(0.8506) = ln(e^(14k))
ln(0.8506) = 14k * ln(e)
ln(e) = 1 (since logarithmic and exponential functions are inverse functions)
So, 14k = ln(0.8506)k = (ln(0.8506))/14k ≈ -0.02413
The equation for P(t) is given by:
P(t) = P₀e^kt
P(t) = 52.4e^(-0.02413t)
b) We need to estimate the population of the country in 2019.
1 year after 2009, i.e., in 2010,
t = 15.P(15)
= 52.4e^(-0.02413 * 15)P(15)
≈ 41.7 million
In 2019,
t = 24.P(24)
= 52.4e^(-0.02413 * 24)P(24)
≈ 33.6 million
So, the estimated population of the country in 2019 is 33.6 million.
e) We need to find after how many years will the population of the country be 1 million, according to this model.
P(t) = 1P₀ = 52.4
Putting these values in the formula:
P(t) = P₀e^kt1
= 52.4e^(-0.02413t)1/52.4
= e^(-0.02413t)
Taking natural logarithm on both sides:
ln(1/52.4) = ln(e^(-0.02413t))
ln(1/52.4) = -0.02413t * ln(e)
ln(e) = 1 (since logarithmic and exponential functions are inverse functions)
So, -0.02413t
= ln(1/52.4)t
= -(ln(1/52.4))/(-0.02413)t
≈ 115.73
Therefore, after about 116 years (since 1995), the population of the country will be 1 million according to this model.
To know more about exponential visit:
https://brainly.com/question/29160729
#SPJ11
Use the Product Rule or Quotient Rule to find the derivative. \[ f(x)=\frac{3 x^{8}+x^{2}}{4 x^{8}-4} \]
Using Quotient rule, the derivative of the function is expressed as:
[tex]\frac{-x(3x^{8} + 12x^{6} + 1)}{(2x^{8} - 1)^{2}}[/tex]
How to find the Derivative of the Function?The function that we want to differentiate is:
[tex]\[ f(x)=\frac{3 x^{8}+x^{2}}{4 x^{8}-4} \][/tex]
The quotient rule is expressed as:
[tex][\frac{u(x)}{v(x)}]' = \frac{[u'(x) * v(x) - u(x) * v'(x)]}{v(x)^{2} }[/tex]
From our given function, applying the quotient rule:
Let u(x) = 3x⁸ + x²
v(x) = 4x⁸ − 4
Their derivatives are:
u'(x) = 24x⁷ + 2x
v'(x) = 32x⁷
Thus, we have the expression as:
dy/dx = [tex]\frac{[(24x^{7} + 2x)*(4x^{8} - 4)] - [32x^{7}*(3x^{8} + x^{2})] }{(4x^{8} - 4)^{2} }[/tex]
This can be further simplified to get:
dy/dx = [tex]\frac{-x(3x^{8} + 12x^{6} + 1)}{(2x^{8} - 1)^{2}}[/tex]
Read more about Function Derivative at: https://brainly.com/question/12047216
#SPJ4
Complete question is:
Use the Product Rule or Quotient Rule to find the derivative. [tex]\[ f(x)=\frac{3 x^{8}+x^{2}}{4 x^{8}-4} \][/tex]
Assume, you want to cluster 8 observations into 3 clusters using
K-Means clustering algorithm. After the first iteration clusters
C1, C2, C3 have the following observations:
C1: {(2,3), (4,3), (6,6)}
After the first iteration of the K-Means clustering algorithm, the observations are divided into the following clusters:
C1: {(2,3), (4,3), (6,6)}
In K-Means clustering, the algorithm starts by randomly assigning each observation to one of the clusters. Then, it iteratively refines the cluster assignments by minimizing the within-cluster sum of squares.
Let's assume that we have 8 observations that we want to cluster into 3 clusters. After the first iteration, we have the following cluster assignments:
C1: {(2,3), (4,3), (6,6)}
These assignments indicate that observations (2,3), (4,3), and (6,6) belong to cluster C1.
After the first iteration of the K-Means clustering algorithm, we have three clusters: C1, C2, and C3. The observations (2,3), (4,3), and (6,6) are assigned to cluster C1.
To know more about algorithm , visit;
https://brainly.com/question/32274929
#SPJ11
A bacteria culture is started with 250 bacteria. After 4 hours, the population has grown to 724 bacteria. If the population grows exponentially according to the foula P_(t)=P_(0)(1+r)^(t) (a) Find the growth rate. Round your answer to the nearest tenth of a percent.
The growth rate is 19.2% (rounded to the nearest tenth of a percent).
To find the growth rate, we can use the formula P_(t)=P_(0)(1+r)^(t), where P_(0) is the initial population, P_(t) is the population after time t, and r is the growth rate.
We know that the initial population is 250 and the population after 4 hours is 724. Substituting these values into the formula, we get:
724 = 250(1+r)^(4)
Dividing both sides by 250, we get:
2.896 = (1+r)^(4)
Taking the fourth root of both sides, we get:
1.192 = 1+r
Subtracting 1 from both sides, we get:
r = 0.192 or 19.2%
Therefore, the value obtained is 19.2% which is the growth rate.
To know more about growth rate refer here:
https://brainly.com/question/18485107#
#SPJ11
suppose you have a large box of pennies of various ages and plan to take a sample of 10 pennies. explain how you can estimate that probability that the range of ages is greater than 15 years.
To estimate the probability that the range of ages is greater than 15 years in a sample of 10 pennies, randomly select multiple samples, calculate the range for each sample, count the number of samples with a range greater than 15 years, and divide it by the total number of samples.
To estimate the probability that the range of ages among a sample of 10 pennies is greater than 15 years, you can follow these steps:
1. Determine the range of ages in the sample: Calculate the difference between the oldest and youngest age among the 10 pennies selected.
2. Repeat the sampling process: Randomly select multiple samples of 10 pennies from the large box and calculate the range of ages for each sample.
3. Record the number of samples with a range greater than 15 years: Count how many of the samples have a range greater than 15 years.
4. Estimate the probability: Divide the number of samples with a range greater than 15 years by the total number of samples taken. This will provide an estimate of the probability that the range of ages is greater than 15 years in a sample of 10 pennies.
Keep in mind that this method provides an estimate based on the samples taken. The accuracy of the estimate can be improved by increasing the number of samples and ensuring that the samples are selected randomly from the large box of pennies.
To know more about probability, refer here:
https://brainly.com/question/33147173
#SPJ4
Sarah took the advertiing department from her company on a round trip to meet with a potential client. Including Sarah a total of 9 people took the trip. She wa able to purchae coach ticket for $200 and firt cla ticket for $1010. She ued her total budget for airfare for the trip, which wa $6660. How many firt cla ticket did he buy? How many coach ticket did he buy?
As per the unitary method,
Sarah bought 5 first-class tickets.
Sarah bought 4 coach tickets.
The cost of x first-class tickets would be $1230 multiplied by x, which gives us a total cost of 1230x. Similarly, the cost of y coach tickets would be $240 multiplied by y, which gives us a total cost of 240y.
Since Sarah used her entire budget of $7350 for airfare, the total cost of the tickets she purchased must equal her budget. Therefore, we can write the following equation:
1230x + 240y = 7350
The problem states that a total of 10 people went on the trip, including Sarah. Since Sarah is one of the 10 people, the remaining 9 people would represent the sum of first-class and coach tickets. In other words:
x + y = 9
Now we have a system of two equations:
1230x + 240y = 7350 (Equation 1)
x + y = 9 (Equation 2)
We can solve this system of equations using various methods, such as substitution or elimination. Let's solve it using the elimination method.
To eliminate the y variable, we can multiply Equation 2 by 240:
240x + 240y = 2160 (Equation 3)
By subtracting Equation 3 from Equation 1, we eliminate the y variable:
1230x + 240y - (240x + 240y) = 7350 - 2160
Simplifying the equation:
990x = 5190
Dividing both sides of the equation by 990, we find:
x = 5190 / 990
x = 5.23
Since we can't have a fraction of a ticket, we need to consider the nearest whole number. In this case, x represents the number of first-class tickets, so we round down to 5.
Now we can substitute the value of x back into Equation 2 to find the value of y:
5 + y = 9
Subtracting 5 from both sides:
y = 9 - 5
y = 4
Therefore, Sarah bought 5 first-class tickets and 4 coach tickets within her budget.
To know more about unitary method here
https://brainly.com/question/28276953
#SPJ4
\[ p=\frac{A\left(\frac{r}{n}\right]^{n}}{\left(1+\frac{r}{n}\right)^{\text {th }}-1} \] The montły invesied payment is 1 (Round up to the nearest cent.)
The monthly investment payment is $1.28. This is based on a formula that calculates the monthly payment needed to reach a specific savings goal over a certain period of time.
The given formula to calculate the monthly investment payment is: p = A(r/n)/[1 + (r/n)^nt - 1]
Here, A = $1, r = 0.03 (3%), n = 12 (monthly investment), and t = 15 years.
So, by substituting the values in the formula, we get:p = 1(0.03/12)/[1 + (0.03/12)^(12*15) - 1]p = 0.00025/[1.5418 - 1]p = 0.00025/0.5418p = 0.4614
8Round up the result to the nearest cent, so the monthly investment payment is $1.28 (approximate value).
Therefore, "The monthly investment payment is $1.28."
The term "Investment Payment" refers to a milestone-based repayment of the Contractor's investments, including any interest that has accrued on those investments.
Know more about investment payment, here:
https://brainly.com/question/32223559
#SPJ11
True or False. All generative models learn the joint probability distribution of the data. Answer:
5. True or False. For the k-means clustering algorithm, with fixed k, and number of data points evenly divisible by k, the number of data points in each cluster for the final cluster assignments is deterministic for a given dataset and does not depend on the initial cluster centroids.
Answer:
6. True or False. Suppose we use two approaches to optimize the same problem: Newton's method and stochastic gradient descent. Assume both algorithms eventually converge to the global minimizer. Suppose we consider the total run time for the two algorithms (the number of iterations multiplied by
1
False. For the k-means clustering algorithm, with fixed k, and number of data points evenly divisible by k, the number of data points in each cluster for the final cluster assignments is deterministic for a given dataset and does not depend on the initial cluster centroids.
True Suppose we use two approaches to optimize the same problem: Newton's method and stochastic gradient descent. Assume both algorithms eventually converge to the global minimizer. Suppose we consider the total run time for the two algorithms (the number of iterations multiplied by
1
False. Not all generative models learn the joint probability distribution of the data. Some generative models, such as variational autoencoders, learn an approximate distribution.
True. If k-means clustering is run with a fixed number of clusters (k) and the number of data points is evenly divisible by k, then the final cluster assignments will have exactly the same number of data points in each cluster for a given dataset, regardless of the initial cluster centroids.
It seems like the statement was cut off, but assuming it continues with "the total run time for the two algorithms (the number of iterations multiplied by...)," then the answer would be False. Newton's method can converge to the global minimizer in fewer iterations than stochastic gradient descent, but each iteration of Newton's method is typically more computationally expensive than an iteration of stochastic gradient descent. Therefore, it is not always the case that Newton's method has a faster total run time than stochastic gradient descent.
Learn more about number from
https://brainly.com/question/27894163
#SPJ11
In a certain state, the sales tax T on the amount of taxable goods is 6% of the value of the goods purchased x, where both T and x are measured in dollars.
express T as a function of x.
T(x) =
Find T(150) and T(8.75).
The expression for sales tax T as a function of x is T(x) = 0.06x . Also, T(150) = $9 and T(8.75) = $0.525.
The given expression for sales tax T on the amount of taxable goods in a certain state is:
6% of the value of the goods purchased x.
T(x) = 6% of x
In decimal form, 6% is equal to 0.06.
Therefore, we can write the expression for sales tax T as:
T(x) = 0.06x
Now, let's calculate the value of T for
x = $150:
T(150) = 0.06 × 150
= $9
Therefore,
T(150) = $9.
Next, let's calculate the value of T for
x = $8.75:
T(8.75) = 0.06 × 8.75
= $0.525
Therefore,
T(8.75) = $0.525.
Hence, the expression for sales tax T as a function of x is:
T(x) = 0.06x
Also,
T(150) = $9
and
T(8.75) = $0.525.
Know more about the taxable goods
https://brainly.com/question/1160723
#SPJ11
A car rental agency currently has 42 cars available, 29 of which have a GPS navigation system. Two cars are selected at random from these 42 cars. Find the probability that both of these cars have GPS navigation systems. Round your answer to four decimal places.
When two cars are selected at random from 42 cars available with a car rental agency, the probability that both of these cars have GPS navigation systems is 0.4714.
The probability of the first car having GPS is 29/42 and the probability of the second car having GPS is 28/41 (since there are now only 28 cars with GPS remaining and 41 total cars remaining). Therefore, the probability of both cars having GPS is:29/42 * 28/41 = 0.3726 (rounded to four decimal places).
That the car rental agency has 42 cars available, 29 of which have a GPS navigation system. And two cars are selected at random from these 42 cars. Now we need to find the probability that both of these cars have GPS navigation systems.
The probability of selecting the first car with a GPS navigation system is 29/42. Since one car has been selected with GPS, the probability of selecting the second car with GPS is 28/41. Now, the probability of selecting both cars with GPS navigation systems is the product of these probabilities:P (both cars have GPS navigation systems) = P (first car has GPS) * P (second car has GPS) = 29/42 * 28/41 = 406 / 861 = 0.4714 (approx.)Therefore, the probability that both of these cars have GPS navigation systems is 0.4714. And it is calculated as follows. Hence, the answer to the given problem is 0.4714.
When two cars are selected at random from 42 cars available with a car rental agency, the probability that both of these cars have GPS navigation systems is 0.4714.
To know more about probability visit
brainly.com/question/31828911
#SPJ11