1. Question 1

1 Point

Which of the following would be considered dependent samples?

1. Finding the pulse rates of adults by looking at two groups. The first group is 125 women, and the second group is 150 men.
2. When entering a college program, students are given a pretest. After completing their required work, the same group of students are given a posttest. The results are compared.
3. We want to know the average time to run a mile. We gather two groups: the first group is for athletes and the second is for non-athletes. Their times are compared.
4. A farmer is comparing two types of pumpkin plants. A sample is taken from each plant. Their resulting average volumes are compared to see which one results in the larger pumpkin.
5. Question 2

Which of the following involve independent samples?

1. Finding the height of an individual by first measuring the heights of a group, and then comparing the results with the reported heights of the same group.
2. Finding the birth weight of a group of babies by looking at a group of baby boys and then comparing it with a group of baby girls.
3. A group of moviegoers is pulled into a screening room to watch two different cuts of the same movie. Their opinions on the two versions are compared.
4. A study is being performed on who makes the bed the most in a relationship. The study looks at a group of husbands and their respective wives
5. Question 3

1 Point

Assume a right-tailed hypothesis test for two population means from dependent samples where n = 24 and the test statistic is 1.59. Find the p-value.

1. 0.0627
2. 0.0701
3. 0.0591
4. 0.9373

1. Question 4

1. Question 5

1 Point

Assume a left tailed test where the test statistic is -1.71 and the critical value is calculated at -1.52. What is the correct decision?

1. Reject the null hypothesis
2. Do not reject the null hypothesis
3. There is not enough information given to make a conclusion
4. Accept the null hypothesis

1. Question 6

1 Point

Researchers suspect that myopia, or nearsightedness, is becoming more common over time. A study from the year 2000 showed 134 cases of myopia in 405 randomly selected people. A separate study from 2015 showed 229 cases in 620 randomly selected people. Let the people in 2000 represent population 1 and the people in 2015 represent population. If the conclusion is "reject the null hypothesis", what is the correct interpretation of the conclusion?

1. There is sufficient evidence to support that myopia is becoming more common over time.
2. There is not sufficient evidence to support that myopia is becoming more common over time.
3. We conclude that the percentage of people who had myopia in 2000 is equal to the percentage of people who had myopia in 2015.
4. We conclude that the percentage of people who had myopia in 2000 is greater than percentage of people who had myopia in 2015.

1. Question 7

1 Point

Assume you are running a hypothesis test for two population means from dependent samples. If find the test statistic.

1. t = 1.17
2. t = 2.85
3. t = 0.56
4. t = 1.05

1. Question 8

1 Point

Assume you are running a hypothesis test for a population mean with two samples. Use the following values to calculate the test statistic.

1. t = 2.82
2. t = 4.19
3. t = 3.02
4. t = -1.88

1. Question 10

1 Point

You are running a hypothesis test on two population proportions with a 0.01 significance level. What is the critical value if your claim is right tailed?

1. z = 2.33
2. z = -2.33
3. z = -1.77
4. z = 1.77

1. Question 12

1 Point

Based on your calculations, you find that the p-value of your hypothesis test is 0.156. If your alpha value is 0.01, what should your conclusion be?

1. Reject the null hypothesis
2. Do not reject the null hypothesis
3. There is not enough information given to make a conclusion
4. Accept the null hypothesis

1. Question 13

1 Point

Assume you are running a right-tailed hypothesis test for two population means where the sigma values are unknown. The first sample looks at 24 values and the second sample examines 18 different samples, what is your critical value? Assume a significance level of 0.05.

1. t = 1.74
2. t = 1.70
3. t = -1.65
4. t = 1.82

1. Question 14

1 Point

In a left-tailed test for two population proportions in a hypothesis test, find the p-value for a test statistic of -2.89.

1. 0.0019
2. 0.9981
3. 0.0228
4. 0.9772

1. Question 15

1 Point

Researchers suspect that myopia, or nearsightedness, is becoming more common over time. A study from the year 2000 showed 134 cases of myopia in 405 randomly selected people. A separate study from 2015 showed 229 cases in 620 randomly selected people. If the people in 2000 represent population 1 and the people in 2015 represent population, find the pooled proportion.

1. 0.45
2. 0.55
3. 0.35
4. 0.31

1. Question 1
2. There is no sufficient evidence to support the claim of a linear correlation.
3. There is sufficient evidence to support the claim of a linear correlation.
4. There may or may not be a linear correlation between the two variables.
5. There is sufficient evidence to support the claim of a non-linear correlation.

1 Point

When comparing two variables, you calculate r = -0.76 and find the CV = 0.586. What should your conclusion be when running a hypothesis test for linear correlation?

• Question 2

1 Point

If Andrew works 40 hours, how much is he expected to earn based on the scatterplot which represents his pay below?

2. $600
3. $1000
4. $700
5. $400

• Question 3

1 Point

A correlation shows that two variables are ____________.

1. Related
2. Unrelated
3. Causing each other
4. Linearly related

• Question 4

1 Point

The annual profits for a company are given in the following table, where x represents the number of years since 2010, and y represents the profit in thousands of dollars. Determine the linear regression equation that represents this set of data, rounding all coefficients to the nearest hundredth.

1. y = 134.4 + 22.8x
2. y = 22.8 + 134.4x
3. y = -3.005 + 0.0278x
4. y = 0.0278 - 3.005x

• Question 5

1 Point

Which variable is used to represent the predictor variable?

1. x
2. y
3. r
4. p

• Question 6

1 Point

Describe the correlation associated with the scatter plot below.

1. Positive, strong
2. Positive, weak
3. Negative, strong
4. Negative, weak

• Question 7

1 Point

If a set of variables both change in the same direction when graphed, what type of correlation would best represent the correlation?

1. Negative Correlation
2. Positive Correlation
3. Nonlinear Correlation
4. No Correlation

• Question 8

1 Point

What type of correlation would you expect from the following variables: the number of hours you studied and your grade?

1. Negative Correlation
2. Positive Correlation
3. Nonlinear Correlation
4. No Correlation

• Question 9

1 Point

A restaurant sells pizza at a price determined by the number of toppings. If the linear regression equation can be represented by y = 12 + 1.5x, determine the price of a pizza if you order 8 toppings. Assume that this is a good model.

1. $24
2. $8
3. $12
4. $22

• Question 10

1 Point

Which Excel formula calculates the linear correlation coefficient r?

1. CORREL
2. AVERAGE
3. T.INV
4. R.COEF

• Question 11

1 Point

When would you need to use the average of the y-values to make a prediction instead of the regression line?

1. The r value indicates there is not a linear correlation between the variables.
2. The prediction is not far outside of the scope of the available data.
3. The points on the scatterplot closely fit the regression line when graphed.
4. The y-values are closely grouped together in the range.

• Question 12

1 Point

Data is analyzed comparing hours studied and grades. It is determined that the correlation coefficient is 0.87. What type of correlation exists between these two variables?

1. Strong positive correlation
2. Strong negative correlation
3. Weak positive correlation
4. No correlation

• Question 13

1 Point

Which of the following is NOT a reason why we use a scatterplot to graph correlation?

1. The dots reveal the direction of change in the variables.
2. The dots reveal how spread out the data is from the line which approximates the data.
3. The dots illustrate various degrees of correlation.
4. The dots calculate the linear correlation value, r.

• Question 14

1 Point

Which of the following values of r is the WEAKEST negative correlation?

1. r = -0.95
2. r = -0.72
3. r = -0.32
4. r = -0.51

• Question 15

1 Point

What type of correlation would you expect from the following variables: test scores and shoe sizes?

1. Negative Correlation
2. Positive Correlation
3. Nonlinear Correlation
4. No Correlation