a coin is placed next to the convex side of a thin spherical glass shell having a radius of curvature of 19.0 cm. reflection from the surface of the shell forms an image of the 1.5-cm-tall coin that is 6.50 cm behind the glass shell. part a where is the coin located? express your answer in centimeters. s

The result of hypothesis test on the given data null hypothesis is accepted and alternate hypothesis is rejected.

Hypothesis testing is a type of measurable deduction that utilizes information from an example to make determinations about a populace boundary or a populace probability distribution. Initial, a conditional supposition that is made about the boundary or dispersion. This supposition that is known as the invalid speculation and is meant by H0.

We have,

mean(X) = 162, n = 20 , standard deviation(σ) = 45,

Let us consider Null hypothesis H₀: μ=145

And alternate hypothesis Hₐ : μ[tex]\neq[/tex] 145

So, Z = X -  μ/σ/√n

Z = 162 - 145/45/√20 = 1.68

Now Level of significance(α)= 0.05

From the Z table,

Z = 1.96

So,  1.68 < 1.96

Thus, Null hypothesis is accepted and alternate hypothesis is rejected.

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Answer:

Slope is undefined

Step-by-step explanation:

slope = [tex]\frac{\Delta y}{\Delta x}[/tex]

[tex]\frac{5-8}{-7-(-7)}=\frac{-3}{0}[/tex]

Anything divided by zero is undefined

This should make sense visually as the points describe a vertical line at [tex]x=-7[/tex]

Answer:

FOR EVERY 1 CLASSROOMS THERE ARE 50 STUDENTS, SO 50 STUDENTS IN EACH CLASSROOM the ration would be 50:1

Step-by-step explanation:

Answer:

I think its 50:1

Step-by-step explanation:

a) If there are no seating restrictions, there are 720 different ways that three couples can be seated.

b) If each couple sits together, there are 48 different arrangements for three couples to be seated.

What is Fundamental counting principle?

If an event can happen in m different ways and another event can happen in n different ways, then the sum of the occurrences of the two events is m x n.

Given:

Three couples have reserved seats in a row for a concert.

(a) There are 3 couples, so 6 people must be seated in seats in row.

It is permutation of 6 elements, therefore, there are

6!=720 ways three couples can be seated when there is no seating restriction.

(b) We want that each couple sits together.

First we will find the number of permutations of 3 couples:

There are 3!=6 permutations of couple. (they can be ordered in 6 different ways).

Now we will find the number of permutations of each couple:

There are 2!=2 permutations of 2 people that makes a couple.

Therefore, by Fundamental Counting Principle, there are

3! ⋅ 2! ⋅ 2! ⋅ 2! = 6 ⋅ 2 ⋅ 2 ⋅ 2 = 48

ways three couples can be seated when each couple sits together.

Hence,

a) If there are no seating restrictions, there are 720 different ways that three couples can be seated.

b) If each couple sits together, there are 48 different arrangements for three couples to be seated.

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Complete question:

Three couples have reserved seats in a row for a concert. In how many different ways can they be seated when (a) there are no seating restrictions? (b) each couple sits together?

Answer:

Step-by-step explanation:

The answer is B.

The slope of a verticle line is "undefined" by nature. As it is infinite

The given trapezoid ABCD is an isosceles trapezoid and has vertices a(2, 4), b(5, 4), c(7, 1), and d(0, 1).

Quadrilaterals called trapezoids have two parallel and two non-parallel sides. It also goes by the name Trapezium. A trapezoid is a closed, four-sided form or figure that has a perimeter and covers a specific area. It is a 2D figure rather than a 3D one. The bases of the trapezoid are the sides that are parallel to one another. Legs or lateral sides refer to the non-parallel sides. The height is the separation between the parallel sides. This article provides formulas for the area of the trapezium as well as its types, properties, and other trapezoids.

Here,

Segments AB and CD are parallel and 3 units apart.

Point D is 2 units left of point A, and point C is 2 units right of point B. The trapezoid is symmetrical about the line x = 3.5, so is isosceles.

The given Trapezoid ABCD that has given vertices a(2, 4), b(5, 4), c(7, 1), and d(0, 1) is a isosceles trapezoid.

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Answer:

16 bags: 2 snicker bars and 5 lollipops in each

Step-by-step explanation:

The greatest common factor of 80 and 3 is 16.

80÷5=16

32÷2=16



And 5 represents the lollipops and 2 represents the snickers.

Answer:

(2x-286)

Step-by-step explanation:

Answer:

(2x-286

Step-by-step explanation:

step by step

Mark me brainliest

Answer:

The answer is 165,1959 if you don't need to show work.

Answer:

Yes, they can conclude that the grades of their graduates are distributed differently than the general population at the school. This is because the test statistic, chi-squared, is greater than the critical value, which is 7.81. This means that the difference between the observed and expected frequencies is statistically significant.

Step-by-step explanation:

There is a difference between the general population and college prep students in GPA.

An assumption or concept is given as a hypothesis for the purpose of debating it and testing if it might be true.

Given:

Numbers  Observed  Proportion   Expected  (O - E)   (O - E)²      (O - E)²/E

0 - 0.99      19                  0.07           14              5           25            1.79

1 - 1.99       28                  0.21            42            -14          196          4.67

2 - 2.99      82                  0.37           74              8           64           0.865

3 - 3.99      71                  0.35            70              1             1              0.0142

Now, X² = the sum of (O - E)²/E

= 8.33

The P-Value is .039662. The result is significant at p < .05.

Hence,

H₀: There is no difference between the general population and the college prep students in GPA.

H1: There is a difference between the general population and the college prep students in GPA.

Test statistic = 8.33

p - Value = 0.039662

Therefore, the alternate hypothesis is true.

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The probability of finding such people will get closer to 0.61 as the sample gets bigger.

a) This means that if you were to take a large sample of US adults and inquire them about having breakfast, about 61%(i.e. 0.61) will say that they usually have breakfast.

b) It is, for sure, expected that if we take a sample of 100, around 61% of these americans will say that they usually eat breakfast. But if the number will be 61 exactly is not a certainty and it will vary from sample to sample.

The probability of finding such people will get closer to 0.61 as the sample gets bigger.

Explanation has been provided in the answers above due to their descriptive nature.

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Marginal effects can be used to express how the predicted probability of a binary outcome changes with a change in a risk factor. For example, how does 1-year mortality risk change with a 1-year increase in age or for a patient with diabetes compared with a patient without diabetes

Logistic regression, also known as logit regression, logit model, or just logit, is one of the most regression analyses taught at universities and used in data analysis. It is a non-linear model which predicts the outcome of a categorical dependent variable with respect to a vector of independent variables. When performing a logit regression with a statistical package, such as Stata, R or Python, the coefficients are usually provided by log-odds scale. In short, this means that point estimates are complicated to interpret, however the sign and the confidence interval of estimates can be interpreted. For that reason, it is interesting to interpret the logit model in the probability scale, i.e. as probabilities.

Marginal effects measure the impact that an instantaneous change in one variable has on the outcome variable while all other variables are held constant. In the simple OLS model with linear effects, estimated coefficients are always equal to marginal effects.

An Independent variable is exactly what it sounds like. It is a variable that stands alone and isn't changed by the other variables you are trying to measure. For example, someone's age might be an independent variable. Other factors (such as what they eat, how much they go to school, how much television they watch) aren't going to change a person's age. In fact, when you are looking for some kind of relationship between variables you are trying to see if the independent variable causes some kind of change in the other variables, or dependent variables.

Just like an independent variable, a dependent variable is exactly what it sounds like. It is something that depends on other factors. For example, a test score could be a dependent variable because it could change depending on several factors such as how much you studied, how much sleep you got the night before you took the test, or even how hungry you were when you took it. Usually when you are looking for a relationship between two things you are trying to find out what makes the dependent variable change the way it does.

Many people have trouble remembering which is the independent variable and which is the dependent variable. An easy way to remember is to insert the names of the two variables you are using in this sentence in they way that makes the most sense. Then you can figure out which is the independent variable and which is the dependent variable:

(Independent variable) causes a change in (Dependent Variable) and it isn't possible that (Dependent Variable) could cause a change in (Independent Variable).

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The answer statements,

a) True

b) False

c) True

IHI Insurance in the given question is implemented using the linear regression analysis because it is used in the question to calculate the value of the number of yearly claims led by policyholders for motor insurance (y) (x2).

As per the question, at random 500 policyholders were selected.

The range of ages of people are between 16 to 70 years

The price range for the cars is between $1100 to $52000

According to the linear regression equation given in the question,

⇒ I = 13 + (-0.5)x1i + (0.1)x2i

a) [tex]y^{i}[/tex] = 13 + (0.5)x1i + (0.1)x2i

Given, x1i = 26, x2i = 20

⇒ [tex]y^{i}[/tex] = 13 + (-0.5)(26) + (0.1)(20)

⇒ [tex]y^{i}[/tex] = 2

Thus, it is not equal to the claim i.e. 28, so option b is false

According to the answer derived in option b,

We can see that the coefficient of x 1i is negative and such that it will be decreased by 0.5

Thus, option a is true

Now as the coefficient of x 2i is positive it will increase by 0.1

Thus, option c is true

Therefore, option a) is true, option b) is false and option c) is true.

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IHI Insurance has conducted a multiple linear regression analysis to predict the value of the number of annual claims incurred by a motor insurance policyholder (y)based on the age of the policyholder in years (x1) and the value of the car insured in thousands of dollars (x2). The analysis was based on a random sample of 500 policyholders. The ages in the sample ranged from 16 to 70 and the values of the cars in the sample ranged from $1,100 to $52,000. The multiple linear regression equation corresponding to IHI's analysis is y^i = 13 + (-0.5)x1i + (0.1)x2i.

Select whether the following statements regarding the multiple linear regression equation are true or false:

a 26-year-old policyholder with a car worth $20,000 is predicted to make 28 claims.

b) holding x2 constant, a one-year increase in x1 will result in a decrease of 0.5 in the predicted value of y.

c) holding x1 constant, a one thousand dollar increase in x2 will result in an increase of 0.1 in the predicted value of y.

The most important measure used in regression diagnostics is the simple residual.

What is linear rigression?

In statistics, a scalar response and one or more explanatory factors are modeled using a linear approach called linear regression. Simple linear regression is used when there is only one explanatory variable; multiple linear regression is used when there are numerous explanatory variables.

Hypothesis testing is used to confirm if our beta coefficients are significant in a linear regression model. Every time we run the linear regression model, we test if the line is significant or not by checking if the coefficient is significant.

If there is a significant linear relationship between the independent variable X and the dependent variable Y, the slope will not equal zero.

The null hypothesis states that the slope is equal to zero, and the alternative hypothesis states that the slope is not equal to zero.

The most important measure used in regression diagnostics is the simple residual (e). This is the difference between each observed and predicted value of Y.

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well, if we take 160 to be the 100%, what is 104 off of it in percentage?

[tex]\begin{array}{ccll} amount&\%\\ \cline{1-2} 160 & 100\\ 104& x \end{array} \implies \cfrac{160}{104}~~=~~\cfrac{100}{x} \\\\\\ \cfrac{ 20 }{ 13 } ~~=~~ \cfrac{100}{x}\implies 20x=1300\implies x=\cfrac{1300}{20}\implies x=\stackrel{\%}{65}[/tex]

Coats sold for 65% of its original price at a sale.

Percentage is defined as a given part or amount in every hundred. It is a fraction with 100 as the denominator and is represented by the symbol "%".

Given that, at a sale, coats were sold for $104 each and the coats originally cost $160 each.

Let x% of $160 be $104.

Now, x% of 160=104

x/100 ×160=104

x=104/160 ×100

x=0.65×100

x=65%

Therefore, 65% of coats original price was a coat sold for.

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The lateral surface area is 667.92 m² and surface area is 1081.92 m².

The lateral surface area of a three-dimensional object is the surface area of the object minus the area of its bases.

Given is a triangular prism,

Lateral surface area = (side1 + side2 + side3)xh = (8+9+12.04)x23 = 667.92 m²

Surface area = (side1 + side2 + side3)xh + 2base area = 667.92 + 9x23x2 =  1081.92 m².

Hence, The lateral surface area is 667.92 m² and surface area is 1081.92 m².

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it would be 72.94 ounces of formula per day will the parent need to feed the newborn

In this problem, the infant is fed for every 3 hours.

Then, the frequency of feeding for a day would be: (24hours/day) / 3(hours/times)= 6 times/ day.

The volume of feeding for a day that the infant need would be:  = 473.68ml/day

The number of milk for every fed would be: (473.68ml/day)/ (6 times/day)=  72.94 ml/times

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Police must investigate 50 cars to find the​ car.

What is permutation and combination?

A combination could be a choice of things from a collection that has distinct members, such the order of choice doesn't matter.

Main body:

there are 2 possible position for the first letter.

there is 1 possible position for the second letter.

there are 5 possible position for the first number.

there are 4 possible position for the second number.

there is 3 possible position for the third number.

there are 2 possible position for the second number.

there is 1 possible position for the third number.

the total possibilities are 2 * 1 * 5 * 4* 3 * 2 * 1 = 50

Or we can solve by saying:

There are 2 letters T and V that can be in the first two positions in any order that is 2!, and there are 5 numbers (1,4 , 6 , 0 and 3) that can be in the last 5 positions in any order that is 5!.

Therefore possible arrangement

2! * 5! = 2 * 1 * 5 * 4 * 3 * 2 * 1 = 50

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The probability that Shelia is diagnosed as having gestational diabetes is 0.003.

In the given question,

A patient is classified as having gestational diabetes if the glucose level is above 140 milligrams per deciliter one hour after a sugary drink is ingested.

Mean 129 mg/dl and standard deviation 9 mg/dl.

I have to find the probability that Shelia is diagnosed as having gestational diabetes

Z value corresponding to the mean result of 140 mg/dl is

(140-129)/4 = 2.75

Thus, the probability that Shelia is diagnosed as having gestational diabetes = P(Z > 2.75) = 0.003

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The right question is:

Shelia's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if the glucose level is above 140 milligrams per deciliter one hour after a sugary drink is ingested. Shelia's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with mean 129 mg/dl and standard deviation 9 mg/dl. Let LL denote a patient's glucose level.

If the mean result from the four tests is compared to the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational diabetes?

The binomial expansion of (y - 3)⁴ is B) y⁴ - 12y³ + 54y² - 108y + 81.

The Binomial Theorem is the method of expanding an expression that has been raised to any finite power.

An expression of two terms having a degree n can be represented as,

(a - b)ⁿ = [tex]^nC_na^n - ^nC_{n-1}a^{n-1}b+^{n}C_{n-2}a^{n-2}b^2+...(-1)^n\times^nC_0a^0b^n[/tex].

Given, (y - 3)⁴ = [tex]^4C_4y^4.3^0 - ^4C_3y^3.3 + ^4C_2y^23^2-^4C_1y.3^3+^4C_0y^03^4[/tex].

(y - 3)⁴ = y⁴ - 12y³ + 54y² - 108y + 81.

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Answer:

The answer is A) [tex]y=4x[/tex]

Step-by-step explanation:

This is because y directly corresponds to x, if x is 1, then y = 4, if x is 2, then y = 8 and so on.

Answer: Y = 8

Step-by-step explanation: If x = to 0 then 0+y=8 therefore y=8

Hope this helps

Answer:

y = 8

Step-by-step explanation:

Given information,

→ x + y = 8

→ x = 0

Now the value of y will be,

→ x + y = 8

→ 0 + y = 8

→ y = 8 - 0

→ [ y = 8 ]

Hence, the value of y is 8.

The plane divide the circle into rn regions.

What is circle?

A circle may be a form consisting of all purposes in a very plane that ar at a given distance from a given point, the centre. Equivalently, it's the curve copied out by a point that moves in a very plane so its distance from a given point is constant.

Main body:

Suppose that n circles divide the plane into rn regions. Now you add another circle, C, that non-trivially intersects each of the first n circles. Start at any point on C and travel around C; you will cross one of the other n circles 2n times.

If p0 and p1 are two consecutive crossings, the arc of C from p0 to p1 divides one of the original rn regions into two smaller regions. You do this 2n times,that gives you a recurrence,

rn+1=rn+some simple function of n,

and you can fairly easily turn it into an expression for rn that is just a summation. If you do it right, it’s a summation that you can evaluate pretty easily in closed form to get a formula for rn.

Hence , the plane divide the region into rn regions.

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Answer:

Equation of the line:

y = x + 15

slope: 1

The money left is $13.25.

Given data,

Your parents handed you $50 to spend on movie tickets for your sister and brother. You paid $8.25 for your ticket, while your siblings paid $4.25.

To know how much money you bring home after spending an extra $20 on soda and popcorn,

Your entry cost is $8.25

$4.25 for the brother's ticket

Sister's entry fee is $4.25.

$20 for soda and popcorn.

Total = 8.25 + 4.25 + 4.25 + 20.00 = $36.75

You received $50 from your parents.

You have spent $36.75.

Balance: 50.00 - 36.75 = $13.25

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With an off-course speed of 11 miles per hour, the ship will go 33 miles in 3 hours.

Multiplying in math is the same as adding equal groups. The number of items in the group grows as we multiply. Parts of a multiplication issue include the product, the two factors, and the product. The components in the multiplication problem 6 x 9 = 54 are the numbers 6 and 9, and the result is the number 54. One of the four fundamental mathematical operations, along with addition, subtraction, and division, is multiplication. Multiply in mathematics refers to the continual addition of sets of same size.

Here,

speed of ship= 11 miles/hour

time given= 3 hours

distance= speed * time

=11*3

=33 miles

The ship will cover 33 miles in 3 hours while moving at the speed of 11 miles/ hour off course.

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488601 is the sample size recommended for the hypothesis test.

Given,

The life of the battery = 400 hours

Significance level = 0.02

Mean = 391 hours

The production manager needs a sampling technique that would incorrectly indicate that the batch is acceptable only 10% of the time.

We have to find the sample size recommended for the hypothesis test;

Here,

Margin of error E = Z(α/2) × (σ/n²)

From this equation we get n as

n = (z × σ /E)^2

α = 0.02

From the standard normal table value we get

z(α/2) = 2.33

σ = 30

E= 0.1

Therefore,

n =(2.33*30/0.1)^2

n =488601

That is,

The sample size recommended for the hypothesis test is 488601.

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Answer: Split it into 8 pieces.

Step-by-step explanation: If there is 4 halves for your friend, and 3 halves for your other friend, that will be 7. If you add another one, it will be 8. Therefore, you should split the cupcake into 8 pieces.