a. No, a 95% confidence interval using the smaller sample size does not allow us to predict the winner., b) We cannot use the confidence interval to predict the winner with certainty, but we can say that there is a higher probability of the Republican candidate winning since the lower bound of the interval is 0.407.
The 95% confidence interval for the proportion of all voters voting for the Republican candidate with n=149 and counts of 68 and 81 is (0.407,0.573). This interval is wider than the interval with n=1490, which makes sense since a smaller sample size leads to more variability in the estimates.
b. We cannot use the confidence interval to predict the winner with certainty, but we can say that there is a higher probability of the Republican candidate winning since the lower bound of the interval is 0.407, which is higher than the proportion of Democratic voters. However, there is still a possibility that the Democratic candidate may win since the upper bound of the interval is 0.573.
a. To determine whether a 95% confidence interval using the smaller sample size (n=149) allows you to predict the winner, we first need to calculate the confidence interval.
Here, we have 68 voters for the Democratic candidate and 81 voters for the Republican candidate.
1. Calculate the sample proportion for the Republican candidate (p):
p = 81/149 = 0.543
2. Calculate the standard error (SE) for the sample proportion:
SE = √(p(1-p)/n) = √(0.543(1-0.543)/149) = 0.040
3. Find the margin of error (ME) for a 95% confidence interval using a Z-score of 1.96:
ME = 1.96 × SE = 1.96 × 0.040 = 0.078
4. Calculate the 95% confidence interval (CI) for the proportion of all voters voting for the Republican candidate:
CI = (p - ME, p + ME) = (0.543 - 0.078, 0.543 + 0.078) = (0.465, 0.621)
The 95% confidence interval for the proportion of all voters voting for the Republican candidate is (0.465, 0.621).
Since this interval includes values both below and above 0.5, we cannot predict the winner with 95% confidence using the smaller sample size. The interval shows that the proportion of voters supporting the Republican candidate could range from 46.5% to 62.1%, making it unclear whether the Republican or Democratic candidate would win.
Learn more about standard error at: brainly.com/question/13179711
#SPJ11
help please what are the features of the function f(x) = -(1/3)^x +5 graphed below (it's all in the picture)
The requried features of the given function has been shown below.
The function f(x) = -(1/3)^x +5 has the following features:
Domain: The domain of the function is all real numbers.
Range: The range of the function is y ≤ 5. In other words, the function has a maximum value of 5, which is approached but never reached as x approaches negative infinity.
x-intercept: The x-intercept is where the graph of the function intersects the x-axis. The x-intercept is approximately -3.96.
y-intercept: The y-intercept is where the graph of the function intersects the y-axis. The y-intercept is (0, 4).
Learn more about function here:
https://brainly.com/question/12431044
#SPJ1
Find the inverse of f(x)
The inverse of the function f(x) = x³ + 1 is f⁻¹(x) = ∛(x - 1).
What is the inverse of the given function?Given the function in the question;
f(x) = x³ + 1
To determine the inverse of the function f(x) = x³ + 1,
we can follow these steps:
Step 1: Replace f(x) with y
y = x³ + 1
Step 2: Solve for x in terms of y
y = x³ + 1
y - 1 = x³
x = ∛(y - 1)
Step 3: Replace x with f⁻¹(x) to get the inverse function
f⁻¹(x) = ∛(x - 1)
Therefore, the inverse of is f⁻¹(x) = ∛(x - 1).
Learn more about functions here: https://brainly.com/question/17872426
#SPJ1
The number of calls coming in to an office follows a Polsson distribution with mean 5 calls per hour. What is the probabllity that there will be exactly 7 calls within the next hour ? O a. 0.071 O b. 0.104 Oc. 0.090 Od 0.123 Which of the following statements Is False? O a. Using the normal curve, the P(Z < 1.28) is approximately 0.9 O b. Using the standard normal curve, the area between z=0 and z = 3.50 is about 0.50 Oc. In the normal distribution, the total area under the curve is equal to one (1) O d. The mean of any normal distribution is always zero
The false statement is option d. The mean of a standard normal distribution is zero, but the mean of any normal distribution can vary and is not always zero.
The number of calls coming in to an office follows a Poisson distribution with a mean of 5 calls per hour. To find the probability of exactly 7 calls within the next hour, we can use the formula for the Poisson probability:
P(X = k) = (e^(-λ) * (λ^k)) / k!
Where λ is the mean (5 calls per hour), k is the number of calls we're interested in (7), and e is the base of the natural logarithm (approximately 2.71828).
P(7 calls) = (e^(-5) * (5^7)) / 7! ≈ 0.104
So the probability of exactly 7 calls within the next hour is 0.104 (option b).
For the false statement among the given options:
a. Using the normal curve, the P(Z < 1.28) is approximately 0.9
b. Using the standard normal curve, the area between z=0 and z = 3.50 is about 0.50
c. In the normal distribution, the total area under the curve is equal to one (1)
d. The mean of any normal distribution is always zero
Know more about probability here:
https://brainly.com/question/30034780
#SPJ11
Which net represents this solid figure?
Right rectangular prism is the net which represents the solid figure required figure
In three-dimensional space, prisms is a polyhedron where two ends are similar.
We want to find the solid figure.
Solids or three-dimensional forms in geometry are objects that have the three dimensions (length, width, and height).
From the given choices;
right rectangular prism is required figure.
Therefore, right rectangular prism is required figure.
To learn more on Three dimensional figure click:
https://brainly.com/question/2400003
#SPJ1
a pe class has 48 4848 students. one group of 24 2424 students chooses to play volleyball. the teacher then divides the remaining students into as many groups of 5 55 as possible to shoot baskets. after that, the remaining students (not on a volleyball or basketball team) climb the rock wall.
In this PE class with 48 students, one group of 24 students decides to play volleyball, leaving 24 students who will be shooting baskets. The teacher then divides the remaining 24 students into as many groups of 5 as possible, which results in 4 groups. Each group will have 5 students, and one student will be left without a group.
In this scenario, there are 48 students in the PE class. One group of 24 students chooses to play volleyball, leaving 24 students (48 - 24 = 24) remaining. The teacher then divides the remaining students into as many groups of 5 as possible to shoot baskets.
To determine how many groups of 5 can be formed, we'll divide the remaining students by 5:
24 ÷ 5 = 4 (with a remainder of 4)
So, the teacher can create 4 groups of 5 students each for shooting baskets. This accounts for 20 students (4 groups x 5 students = 20).
Since there were 24 students remaining after the volleyball group, and 20 of those students have been assigned to basketball groups, we're left with 4 students (24 - 20 = 4) who will climb the rock wall.
To learn more about students : brainly.com/question/17332524
#SPJ11
The president of Babyorganics Inc., a baby food producer, claims that her company’s product is superior to her competitors because babies gain weight faster with her product. To test the claim, a survey was undertaken. Mothers of newborns were asked which baby food they intended to use. Those who responded that they would use Babyorganics or the competitor were asked to keep track of their babies’ weight over the next 2 months. There were 15 mothers who indicated that they would feed their babies Babyorganics and 25 who responded that they would feed their babies the competitor’s baby food. Each baby’s weight was recorded at the end of the two months. Can the president of Babyorganics conclude the competitor’s food is not as good for increasing baby weight?
Based on the information provided in the output below, what is the correct decision
Reject the null hypothesis at the 0.10 level of significance
Reject the null hypothesis at the 0.05 level of significance
Do not reject the null hypothesis at the 0.05 level of significance
Both a and b are correct
1. Choose a significance level (e.g., 0.05 or 0.10).
2. Perform a statistical test (e.g., t-test or ANOVA) to compare the mean weight gains of the two groups of babies.
3. Compare the p-value obtained from the test to the chosen level of significance.
Based on the information provided, we do not have the output or data necessary to determine whether to reject the null hypothesis or not. However, we can interpret the terms "hypothesis," "level," and "significance" in this context.
- Hypothesis: The president of Baby Organics Inc. has made a claim that her company's product is superior to her competitors because babies gain weight faster with her product. This is the alternative hypothesis, which is being tested against the null hypothesis that there is no difference in weight gain between babies fed Babyorganics and those fed the competitor's baby food.
Null Hypothesis (H0): There is no difference in weight gain between babies fed Babyorganics and those fed the competitor's food.
Alternative Hypothesis (H1): Babies fed Baby organics gain weight faster than those fed the competitor's food.
- Level: The significance level is a threshold that is set to determine whether the results of the survey are statistically significant. This threshold is usually set at 0.05 or 0.10, indicating a 5% or 10% chance of rejecting the null hypothesis when it is actually true.
- Significance: If the results of the survey are statistically significant at the chosen level of significance, it means that the observed difference in weight gain between babies fed Baby Organics and those fed the competitor's baby food is unlikely to have occurred by chance alone and is therefore likely to be a real effect.
Make a decision based on the comparison:
- If the p-value is less than or equal to the level of significance, reject the null hypothesis, which means there is evidence to support the claim that Baby organics lead to faster weight gain.
- If the p-value is greater than the level of significance, do not reject the null hypothesis, which means there is insufficient evidence to support the claim.
In order to determine whether the president of Baby Organics Inc. can conclude that the competitor's food is not as good for increasing baby weight, we would need to see the actual data and results of the survey.
Learn more about the significance level:
brainly.com/question/9163177
#SPJ11
About 6 randomly selected people were asked how long they slept at night. The mean time was 7 hours, and the standard deviation was 0.6 hour. Calculate the 80% confidence interval of the mean time by assuming that the variable is normally distributed. Provide only the value required below. Express your answer in 3 decimal places.a. te (negative value only):
The negative value requested (a. te) represents the lower end of the confidence interval minus the mean:
a. te = 6.639 - 7 ≈ -0.361 (rounded to 3 decimal places)
To calculate the 80% confidence interval for the mean sleep time, we'll use the following formula:
CI = mean ± (t * (standard deviation / √sample size))
Given:
- Mean time = 7 hours
- Standard deviation = 0.6 hour
- Sample size = 6 people
First, we need to find the t-value (t-score) for an 80% confidence interval and degrees of freedom (df) = sample size - 1 = 6 - 1 = 5. Using a t-distribution table or calculator, the t-value for a two-tailed test with 80% confidence (or 0.1 significance level) and df = 5 is approximately 1.476.
Now, plug in the values into the formula:
CI = 7 ± (1.476 * (0.6 / √6))
Calculate the margin of error:
Margin of error = 1.476 * (0.6 / √6) ≈ 0.361
So, the 80% confidence interval is:
Lower limit: 7 - 0.361 ≈ 6.639 hours
Upper limit: 7 + 0.361 ≈ 7.361 hours
Know more about 80% confidence interval here:
https://brainly.com/question/31321885
#SPJ11
Damon will write an equivalent expression for 60xyz+36yz+24xy by dividing each term by a common factor and rewriting the expression as the product of a common factor and the sum of remaining factors.
Select three possibilities that he could use as the common factor for equivalent expression
The three possibilities that Damon can use as the common factor for equivalent expression are y(5xz + 3z + 2x), z(5xy + 3y + 2x) and xy(5z + 3 + 2z).
How to Solve the Problem?To discover a common figure for 60xyz+36yz+24xy, we have to be discover the Greatest Common Factor (GCF) of the coefficients 60, 36, and 24, and the factors x, y, and z.
The GCF of the coefficients 60, 36, and 24 is 12. Able to calculate out 12 from each term:
60xyz+36yz+24xy = 12(5xyz + 3yz + 2xy)
Presently, we ought to discover a common calculate for the remaining components, 5xyz + 3yz + 2xy. Here are three conceivable outcomes:
Calculate out y:
5xyz + 3yz + 2xy = y(5xz + 3z + 2x)
Calculate out z:
5xyz + 3yz + 2xy = z(5xy + 3y + 2x)
Calculate out xy:
5xyz + 3yz + 2xy = xy(5z + 3 + 2z)
So, Damon may utilize any of these three conceivable outcomes as the common calculate for an proportionate expression.
Learn more about common factor here: https://brainly.com/question/25266622
#SPJ1
ow that we have defined hypotheses and a test statistic, we are ready to conduct a hypothesis test. we'll start by defining a function to simulate the test statistic under the null hypothesis, and then use that function 1000 times to understand the distribution under the null hypothesis. question 4: write a function to simulate the test statistic under the null hypothesis. the simulate framingham null function should simulate the null hypothesis once (not 1000 times) and return the value of the test statistic for that simulated sample.
Here's an example function that simulates the test statistic under the null hypothesis:
```python
def simulate_framingham_null(data):
# data: DataFrame containing the variables of interest (e.g. age, blood pressure, cholesterol)
# assume null hypothesis: there is no association between the variables
# i.e. we can shuffle the labels of one of the variables to generate null samples
null_data = data.copy()
null_data["label"] = np.random.permutation(null_data["label"])
# calculate test statistic (e.g. difference in means, correlation coefficient)
test_statistic = calculate_test_statistic(null_data)
return test_statistic
```
This function takes in a DataFrame `data` that contains the variables of interest and their labels (e.g. age, blood pressure, cholesterol, and whether or not a patient has heart disease). The null hypothesis assumes that there is no association between the variables, so we can shuffle the labels of one of the variables to generate null samples. We then calculate the test statistic (e.g. difference in means, correlation coefficient) for this null sample and return its value. Note that `calculate_test_statistic` is a function that you would need to define based on your specific research question and test statistic of interest.
To write a function that simulates the test statistic under the null hypothesis, you can follow these steps:
1. Define the function, let's call it `simulate_framingham_null`.
2. Within the function, simulate the null hypothesis by randomly shuffling the group labels or generating data according to the null hypothesis.
3. Calculate the test statistic for the simulated sample.
4. Return the value of the test statistic.
```python
import numpy as np
def simulate_framingham_null(group_data, observed_statistic):
# Step 2: Randomly shuffle group labels or generate data according to the null hypothesis
shuffled_group_data = np.random.permutation(group_data)
# Step 3: Calculate the test statistic for the simulated sample
simulated_statistic = calculate_test_statistic(shuffled_group_data)
# Step 4: Return the value of the test statistic
return simulated_statistic
```
In this example, `group_data` represents the input data grouped by categories, and `calculate_test_statistic` is a function that calculates the test statistic for a given dataset. Make sure to replace it with your actual test statistic calculation function.
Once you have this function, you can use it to run simulations and understand the distribution under the null hypothesis by calling the function 1000 times in a loop.
Visit here to learn more about null hypothesis brainly.com/question/28920252
#SPJ11
PLEASE HELP ME. WILL MARK BRAINLEST!!!
The values of θ in the equation are determined as 225.6⁰ and 314.4⁰.
What is the value of θ in the equation?The value of θ is calculated as follows;
The given equation; -7 cos²θ + 7 = 16sinθ + 15
cos²θ + sin²θ = 1
cos²θ = 1 - sin²θ
- 7(1 - sin²θ) + 7 = 16sinθ + 15
-7 + 7sin²θ + 7 = 16sinθ + 15
7sin²θ = 16sinθ + 15
Let sinθ = x
Our new equation becomes;
7x² = 16x + 15
7x² - 16x - 15 = 0
solve for x using formula method;
x = 3 or -0.714
Sinθ cannot be equal to 3, so we choose -0.714
Sinθ = -0.714
θ = sin⁻¹(-0.714)
θ = -45.6⁰
Since θ must be greater than θ, the possible values of θ are in third quadrant and fourth quadrant.
θ = 180 + 45.6⁰ = 225.6⁰
θ = 360 - 45.6⁰ = 314.4⁰
Learn more about equation here: https://brainly.com/question/28038123
#SPJ1
Which equation represents the parabola with focus
(
1
,
4
)
and latus rectum of 4?
y
=
−
1
4
(
x
−
1
)
2
+
3
y
=
4
(
x
−
1
)
2
+
3
y
=
(
x
−
1
)
2
+
4
y
=
1
4
(
x
−
1
)
2
+
3
The equation of parabola with with focus (1,4)and latus rectum of 4 is given as y=(x−1)2+4, hence option C is correct.
We know that the focus of the parabola is at (1, 4), and the latus rectum is 4 units long. The latus rectum is the line segment that passes through the focus and is perpendicular to the axis of symmetry. Its length is equal to 4 times the distance from the focus to the directrix. Since the latus rectum is 4 units long, the distance from the focus to the directrix is 1 unit.
Therefore, the directrix is the horizontal line y = 3, which is 1 unit below the focus. The axis of symmetry is the vertical line x = 1. The standard form of the equation of a parabola with vertex at the origin, axis of symmetry along the x-axis, and focus at (p, 0) is:
x² = 4py
In this case, the vertex is (1, 0) and the focus is (1, 4). Therefore, we can write,
x - 1 = 4p(y - 0)
x - 1 = 4py
We know that the distance from the focus to the vertex is p, which is 4 units in this case. Therefore, the equation of the parabola is,
(x - 1)² = 16y
Simplifying this equation, we get,
y = (1/16)(x - 1)²
Therefore, the answer is C. y = (x - 1)²/16.
To know more about equation of parabola, visit,
https://brainly.com/question/4061870
#SPJ4
Complete question - Which equation represents the parabola with focus (1,4) and latus rectum of 4?
A. y=−14(x−1)²+3
B. y=4(x−1)²+3
C. y=(x−1)²+4
D. y=14(x−1)²+3
What is the size of x when the opposite is 4.9 the hypotenuse is 7.2 i need to work out x which is where it meets with the hypotenuse and adjacent?
Answer:
Step-by-step explanation:
10
which of the following methods takes unsystematic risk also into account for performance evaluation of portfolios?a) sharpe ratio b) treynor ratio c) fama's net selectivity d) both 'a' and 'c'-
The correct answer is option d) both 'a' and 'c'. The Sharpe ratio and Fama's net selectivity are performance evaluation measures that take into account unsystematic risk along with systematic risk.
The Sharpe ratio measures the excess return of a portfolio over the risk-free rate per unit of total risk (i.e., both systematic and unsystematic risk) and is given by:
Sharpe Ratio = (Portfolio Return - Risk-Free Rate) / Portfolio Standard Deviation
Fama's net selectivity, on the other hand, measures a portfolio's ability to generate returns over and above what would be expected based on its exposure to different factors (i.e., systematic risk) and its level of unsystematic risk. It is calculated as the difference between the portfolio's actual return and the return predicted by a multifactor model that takes into account the portfolio's exposure to different factors. Both of these measures account for unsystematic risk along with systematic risk, making them useful for evaluating portfolio performance. The Treynor ratio, on the other hand, only takes into account systematic risk and not unsystematic risk.
Learn more about Sharpe Ratio here:
https://brainly.com/question/28102814
#SPJ11
Find the missing side.
35°
22
y
y = [?]
Round to the nearest tenth.
Remember: SOHCAHTOA
Enter
[tex]\cos(35^o )=\cfrac{\stackrel{adjacent}{y}}{\underset{hypotenuse}{22}} \implies 22\cos(35^o)=y \implies 18.0\approx y[/tex]
find the value of each variable
The value of the sides are;
x = 13
y = 13 √2
How to determine the valueTo determine the value of the identities, we have to note the know the trigonometric identities. They are;
sinecosinetangentsecantcosecantcotangentFrom the information given, we have that;
Using the tangent identity;
tan θ = opposite/adjacent
substitute the values, we get
tan 45 = x/13
cross multiply the values
x = 13
Using the sine identity
sin 45 = 13/y
y = 13 √2
Learn about trigonometric identities at: https://brainly.com/question/7331447
#SPJ1
Don't know how to solve and also really need to get this homework done so I can pass would greatly appreciate it
Answer:
See below
Step-by-step explanation:
11. This is a tangent-chord angle, which means the angle is half of the measure of its intercepted arc.
7x - 10 = (1/2) * 120
7x - 10 = 60
7x = 70
x = 10
12. This is a chord-chord angle, which means the angle is half of the sum of the measures of the arcs intercepted by the chord-chord angle and its vertical angle.
26x - 2 = (1/2) * (131 + 18x + 1)
26x - 2 = (1/2) * (18x + 132)
26x - 2 = 9x + 66
17x = 68
x = 4
13. This is a secant-tangent angle, which means the angle is half of the difference between the measures of the intercepted arcs.
5x - 5 = (1/2) * (190 - (13x - 7))
5x - 5 = (1/2) * (197 - 13x)
10x - 10 = 197 - 13x
23x = 207
x = 9
14. This is also a secant-tangent angle.
2x + 14 = (1/2) * (6 + 14x - 58)
2x + 14 = (1/2) * (14x - 52)
2x + 14 = 7x - 26
5x = 40
x = 8
Hope this helps!
Answer:
Step-by-step explanation:
Find Arc MAC
Above 107 is x-9
Image not to scale
The measure of arc AC in the circle shown above is determined as:
m(AC) =
How to Find the Measure of an Arc in a Circle?The circle shown above has information given that would be used in finding the measure of arc AC that is indicated.
Thus, we have to find the value of x as shown below:
110 + 107 + x - 9 = 360 [a full circle is equal to 360 degrees].
208 + x = 360
x = 360 - 208
x = 152
Measure of arc AC = x - 9
Measure of arc AC = 152 - 9
Measure of arc AC = 143°
Learn more about the measure of arc on:
https://brainly.com/question/29282502
#SPJ1
In the figure, a regular polygon is inscribed in a circle. Using only the segments given in the figure, identify the center, a radius, an apothem, and a central angle of the polygon. Then find the measure of a central angle.
Answer:
Step-by-step explanation:
Early civilizations used standard measuring pottery to measure volume. As recently at the 1800's in the U.S. units of measures varied from area to area. When California became a state in 1850, one of the first laws passed was to establish weights and measures standards.
What is the volume of the cylinder?
Based on the above, the volume of the cylinder is 16oπ cubic inches or 502.65 cubic inches
What is the volume of the cylinder?
For one to be able to know the volume of the cylinder, then we need to use this formula below:
Where:
Volume = π x r² x h
Where π = pi
r = radius
H= height
Since the base radius is 4 inches and that of the height is 10 inches, we can then placed them into the above formula:
Volume = π × 4² × 10
Volume = π × 16 × 10
Volume = 160 π or simply say 502.65 cubic inches
Therefore, the volume of the given cylinder is about 160π cubic inches.
Read more about volume here:
https://brainly.com/question/1972490
#SPJ1
A graphic designer wanted to create a new logo for a company that will be printed on a large signage. The logo is a rectangle that has a semicircular piece removed. If the designer wanted that the area of the logo is approximately 90.64 ft², will it be possible for him to make the desied logo in a 14ft by 8.5ft rectangle?
Find the measure of the missing angle.
Answer: 41 degrees
Step-by-step explanation:
118 + 21 = 139
180 - 139 = 41
Testing the effects of radiation on the growth of tardigrades there were 3 levels, 1, 2, and 3.Sample size-2 per level Mean Variance Level 3 (highest radiation) 83.74 14Level 2 (medium level) 65.83 16Level 1(Lowest radiation) 56.76 23 Assume all variances the same a. If the means are the same, each mean has the same mean, and a variance of sigma2/2, so we can build 2 estimates of variance, we can i. Calculate Meantot=(mean1+mean2+mean3)/3, and var1-2* (sum(meani- meantot)A2)/2 ii. Calculate Var2=generalize the pooled estimate of variance from the outside the book, class notes (lecture 18), Calculate it. iii. Calculate Var1/Var2"F with 2 and 3 degrees of freedom (why 3 df)b. Test if the 2 estimates of variance are the same c. If Var1>>Var2, what does that mean about the means of the data
a. To compare these two estimates of variance, we calculate the F statistic as Var1/Var2 with 2 and 3 degrees of freedom (why 3 df is because we have 3 levels). b. We reject the null hypothesis that the variances are equal and conclude that they are significantly different. c. It does not necessarily mean that the means of the data are significantly different.
a. To test the effects of radiation on the growth of tardigrades, we experimented with 3 levels of radiation: 1, 2, and 3. For each level, we had a sample size of 2 and calculated the mean and variance. The mean and variance for each level are as follows:
Level 3 (highest radiation): Mean = 83.74, Variance = 14
Level 2 (medium level): Mean = 65.83, Variance = 16
Level 1 (lowest radiation): Mean = 56.76, Variance = 23
If the means are the same, each mean has the same mean and variance of sigma2/2, we can build 2 estimates of variance. The first estimate (Var1) is calculated using the formula: Var1 = 2 * (sum(meaning - meant)²) / 2, where meant is the overall mean of the data. The second estimate (Var2) is a pooled estimate of variance, which can be calculated using the formula taught in class (lecture 18).
b. We can test if the 2 estimates of variance are the same by comparing the F statistic we calculated in part a to the critical F value from the F distribution table with 2 and 3 degrees of freedom at a given significance level (e.g. 0.05). If the calculated F statistic is greater than the critical F value, we reject the null hypothesis that the variances are equal and conclude that they are significantly different.
c. If Var1>>Var2, it means that there is a larger variation within each level of radiation compared to the variation across all levels. This could be due to experimental error or other factors that are not related to radiation. It does not necessarily mean that the means of the data are significantly different.
Learn more about hypothesis here:
https://brainly.com/question/31319397
#SPJ11
Write the decimal −0.43 (the 3 is repeating) as a fraction in simplest form.
Answer:
Step-by-step explanation:
Let's call the repeating decimal x, so x = -0.433333...
We can write this as:
10x = -4.33333...
And if we subtract x from 10x, we get:
10x - x = 9x = -4
So, x = -4/9.
Therefore, the decimal -0.43 (the 3 is repeating) as a fraction in simplest form is -4/9.
The american heart association is about to conduct an anti-smoking campaign and wants to know the fraction of americans over 26 who smoke. Suppose a sample of 897 americans over 26 is drawn. Of these people, 637 don't smoke. Using the data, estimate the proportion of americans over 26 who smoke.
we can estimate that about 29.0% of Americans over 26 smoke based on this sample.
To estimate the proportion of Americans over 26 who smoke, we need to use the sample proportion, which is the number of people in the sample who smoke divided by the total sample size.
In this case, the sample size is 897 and the number of people who don't smoke is 637, so the number of people who do smoke is:
897 - 637 = 260
So the sample proportion of Americans over 26 who smoke is:
260 / 897 = 0.290
Find out more about proportion
brainly.com/question/16278970
#SPJ11
pls help 100 point i dont have much time
Answer:
Step-by-step explanation:
If each side of a small cube is 1/3 cm, then one side of a big cube is 2/3.
Area of cube: x^3
2/3 * 2/3 * 2/3 = 8/27
The answer is A. Please make me brainliest!
The measure of an exterior angle of a triangle is always
A. Greater than its adjacent interior angle.
B. Less than its adjacent interior angle.
C.greater than either remote interior angle.
D.less than either remote interior angle.
A. Greater than its adjacent interior angle. The measure of an exterior angle of a triangle is always C. greater than either remote interior angle.
An exterior angle is formed by extending one side of a triangle. In a triangle, the exterior angle is equal to the sum of the two remote interior angles (the two angles that are not adjacent to the exterior angle).
Therefore, the exterior angle will always be greater than either one of the remote interior angles.
The exterior angle theorem states that when two sides of a triangle are adjacent, the resulting exterior angle is equal to the sum of the degrees of the two interior angles of the triangle. This theorem can be used to find the measure of an unknown angle in a triangle.
Learn more about exterior angle:
brainly.com/question/28835566
#SPJ11
two hundred five thousandths in decimal numbers
The required decimal form of two hundred five thousandths is 0.205.
When we write a decimal number, each digit represents a different power of 10, with the digit to the left of the decimal point representing the one place, and the digits to the right of the decimal point representing fractions of a whole.
So, to represent two hundred five thousandths in decimal form, we need to write 2 in the thousandth place, which is three digits to the right of the decimal point. This gives us the number 0.205.
Learn more about standard notation here:
https://brainly.com/question/10253124.
#SPJ1
Please answer the question
Answer:
Third Option: It is not a good fit for the data. Most of the data points are above the line.
Step-by-step explanation:
First of all, if we graph the line y = 100x, we get the following data points:
0, 0
1, 100
2, 200
3, 300
4, 400
5, 500
6, 600
7, 700
8, 800
9, 900
10, 1000
11, 1100
12, 1200
Once we graph the following data points and draw a line connecting them in the scatter plot, we can check if the line is the best fit.
Then we get the answer.
No, the line y = 100x is not the line of best fit for the given scatter plot. The line of best fit is a straight line that is the best approximation of the given set of data. It is used to study the nature of the relation between two variables. A line of best fit can be roughly determined using an eyeball method by drawing a straight line on a scatter plot so that the number of points above the line and below the line is about equal (and the line passes through as many points as possible).
Look at the picture I attached.
Select True or False for each statement.
1. (1/64)^–⅚ = 32 True
2. √12 - 2/5 × √75 = 4√3 = False
3. √9a + √98b -a+√2b = 2a+10√b = 0 =True
4. 1/(√5-√6)² = 11-2√30/241 = False
How did we arrive at these assertions?1. (1/64)^–⅚ = 32
write in exponential form
2⁵ = 2⁵, hence, true
2. √12 - 2/5 × √75 = 4√3
Simplify the expressions
2√3-2√3 = 4√3
Eliminate the opposites
0 = 4√3
The statement is false
3. √9a + √98b -a+√2b = 2a+10√b = False
Evaluate
3a + √98b-a + √2b = 2a+10√b
Collect like terms
2a + √98b+ √2b = 2a+10√b
Cancel equal terms
98b+ √2b = 10√b Simplify the equation
98b+28b+2b = 100b
Collect like terms
128b = 100b
Move the variable to the left
128b 100b = 0
28b = 0
Divide both sides
b = 0
4. 1/(√5-√6)² = 11-2√30/241 = False
The approximate value of 1 / (√5-√6)² is 21.95445 and the approximate value of 11-2√30/ 241 is 0.000188999, meaning 1/(√5-√6)² ≠ 11-2√30/241
1/(√5-√6)² = 11-2√30/241, so equality is false
learn more about exponential form: https://brainly.com/question/23275698
#SPJ1
Suppose that the weights of 2700 registered female Great Danes in the United States are
distributed normally with a mean of 133 lb. and a standard deviation of 6.4 lb.
Approximately how many of the Great Danes weigh less than 126.6 lbs.? SHOW WORK!
Answer:
To solve this problem, we can use the cumulative distribution function (CDF) of the normal distribution.Given:
Mean (μ) = 133 lb
Standard Deviation (σ) = 6.4 lb
Weight (X) = 126.6 lb
We can use the formula for the standard normal distribution to calculate the z-score:
z = (X - μ) / σ
Plugging in the values, we get:z = (126.6 - 133) / 6.4 = -0.984375
Now, we can use a standard normal distribution table or a calculator with a built-in normal distribution function to find the cumulative probability (P) associated with the z-score of -0.984375.
Using a standard normal distribution table, we find that the cumulative probability for a z-score of -0.984375 is approximately 0.1611.
So, approximately 16.11% of the registered female Great Danes in the United States weigh less than 126.6 lbs.
Step-by-step explanation: