Question 1

The sampling distribution of a single proportion is approximately normal if the number of success OR the number of failures is greater than or equal to 10.

True

False

Question 2

In a sample of 200 women between 30 - 40 years old, 85 of them had high blood pressure. If p-hat represents the proportion of women with high blood pressure, then q-hat would equal what value?

Group of answer choices

0.58

115

85

0.43

Question 3

In setting up a left-tail hypothesis test you find that your rejection regions will be z < -1.96. You calculate your test statistic to be -1.95 so you conclude to:

Reject the null hypothesis.

Fail to reject the alternative hypothesis.

Fail to reject the null hypothesis.

Reject the alternative hypothesis.

Question 4

In a study on how confident one felt about basic math skills, researchers assessed a college mathematics course and a statistics course to determine if there was a difference the in the proportion of those that felt confident about his/her basic math skills. In the college mathematics course, 40 out of 150 students felt confident. In the statistics course, 60 out of 125 felt confident. Determine the point estimate.

Group of answer choices

0.27

0.48

0.36

0.21

Question 5

In setting up a confidence interval on the difference between two proportions you find your point estimate to be 0.09 and sampling error to be 0.03. Determine your 95% confidence interval.

Group of answer choices

(0.075, 0.105)

Cannot determine. Not enough information.

(0.06, 0.12)

(0.03, 0.15)

Flag question: Question 6

Question 6

In performing an hypothesis test to determine the difference of two proportions, you find a 95% confidence interval of (-0.03, 0.05). In using this confidence interval to make a decision, you can make the which conclusion?

Group of answer choices

Fail to reject the null hypothesis because the p-value is in the confidence interval.

Reject the null hypothesis because one proportion is -0.03 and the other proportion is 0.05.

Reject the null hypothesis since the confidence interval contains a negative value.

Fail to reject the null hypothesis because zero is in the confidence interval.

Flag question: Question 7

Question 7

When setting up an hypothesis test for the difference of two proportions, the null hypothesis would state that one proportion is greater than the second proportion.

Group of answer choices

True

False

Flag question: Question 8

Question 8

In doing a Chi-Square hypothesis test, the number of categories is 5. Therefore the degree of freedom would be which value?

Group of answer choices

0.05

1

5

4

Flag question: Question 9

Question 9

In Chi-Square test, the null hypothesis is stating that the proportions are equal to what was observed.

Group of answer choices

True

False

Flag question: Question 10

Question 10

In a Chi-Square hypothesis test, you find the Chi-Square critical value at a level of significance of 0.05 and a degree of freedom of 9 to be 16.92. You find your test statistic is 17. You conclude which of the following statements.

Group of answer choices

Cannot determine as it is not stated whether this is a one-tail or two-tail test.

Fail to reject the null hypothesis as 17 is greater than 0.05.than 0

Reject the null hypothesis as 17 is greater than 16.92

Fail to reject the null hypothesis as 17 is greater than 16.92

Flag question: Question 11

Question 11

According to the Central Limit Theorem, what minimum sample size is required in order to assume that the sampling distribution of the sample mean,x

x, is approximately normal?

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Question 12

Which of the following isnota characteristic of the t-distribution?

Group of answer choices

The t-distribution is primarily used when the population standard deviation is unknown

There are n - 1 degrees of freedom, where n is the sample size

The larger the degrees of freedom, the closer the t-distribution curve resembles the normal distribution curve

The tails are thinner than the normal distribution curve

Flag question: Question 13

Question 13

In plain English, select the appropriatenullhypothesis for the ANOVA procedure.

Group of answer choices

The the population proportion is not equal to some given value

That the population means of all the different categories are equal

That at least one of the means of the different categories differs from the others

That the population mean is equal to a specific value

Flag question: Question 14

Question 14

In plain English, select the appropriatealternativehypothesis for the ANOVA procedure.

Group of answer choices

The the population proportion is equal to some given value

That the population mean is not equal to a specific value

That at least one of the means of the different categories differs from the others

That the population means of all the different categories are equal

Flag question: Question 15

Question 15

You are constructing a 90% confidence interval for the population mean using the t-distribution. If you have a sample size of n = 8, what will your degrees of freedom be?

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Question 16

You are constructing a 90% confidence interval for the population mean using the t-distribution. If you have a sample size of n = 8, what value from the t-distribution chart will you use in your calculation?

Group of answer choices

t = -1.58

t = 1.89

t = 1.58

t = 1.86

Flag question: Question 17

Question 17

You are interested in testing the average number of hours that 6th grades boys spend studying vs. 6th grade girls. You decide on a significance level,

, of 0.10 for the test. After collecting your sample and running your 2-sample t-test, you calculate a p-value of 0.031 for the test. What is your conclusion?

Group of answer choices

That 6th grade boys and 6th grade girls study for the same amount of time

There is enough evidence to suggest that 6th grade boys and 6th grade girls spend different amounts of time studying

The test is inconclusive at this level of significance

There is enough evidence to suggest that 6th grade boys and 6th grade girls spend the same amount of time studying

Flag question: Question 18

Question 18

You believe that members of different branches of the military work out the same number of hours each week, on average. You decide to test this belief and gather samples from members of the Army, Navy, Air Force, Marine Corps, Space Force, and Coast Guard. Which statistical procedure would you use to test this belief?

Group of answer choices

A 95% t-confidence interval

1-sample z-test

2-sample t-test

ANOVA

Flag question: Question 19

Question 19

A pharmaceutical company wants to test whether a new drug they are developing significantly lowers the blood pressure of their clients. The company gathers a sample of n = 1000 participants with high blood pressure for a study. In the study, participants have their blood pressure measured before using the drug, then have their blood pressure measured three months after taking daily dosages of the drug. Should the company use a paired or non-paired test in this case? Why?

Group of answer choices

Non-paired. The first and second data sets are independent of each other

Paired. The first and second data sets are independent of each other

Non-paired. The first and second data sets are dependent, since the same set of people are being measured in each case

Paired. The first and second data sets are dependent, since the same set of people are being measured in each case

Flag question: Question 20

Question 20

Which of the following isfalseabout the ANOVA procedure?

Group of answer choices

The constant variance condition can be somewhat relaxed when the sample sizes are relatively consistent across groups

As the total sample size increases, the degrees of freedom for the residuals increases as well

The procedure is appropriate when testing differences in means among 2 or more groups or categories

The independence assumption can be relaxed when the total sample size is large

Flag question: Question 21

Question 21

When creating a linear model, the y-variable is considered the explanatory variable.

Group of answer choices

True

False

Question 23

The R-value is always a value between or including -1 and 1.

Group of answer choices

True

False

Flag question: Question 26

Question 26

A negative correlation means that as one variable increases, the other increases.

Group of answer choices

True

False

Question 28

R2is a value that is used to describe how closely data cluster around a linear fit.

Group of answer choices

True

False

Question 30

If we make an estimation beyond the observed values when using a linear model, we are making a safe bet that the approximate linear relationship will be valid in places where it has not been analyzed.

Group of answer choices

True

False