An interesting research question is: what effect, if any, do different types of teaching formats have on the grade outcomes of students? In a current study, we consider two teaching formats: a hybrid format (Population 1) and a standard lecture format (Population 2). We want to prove that the hybrid format leads to a higher average student grade. What should the H_o be?

Question 1 options:

a)	Ha: 1 - 2 0

b)	Ha: 1 - 2 = 0

c)	Ha: 1 - 2 < 0

d)	Ha: 1 - 2 > 0

Question 2 (1 point)

An interesting research question is: what effect, if any, do different types of teaching formats have on the grade outcomes of students? In a current study, we consider two teaching formats: a hybrid format (Population 1) and a standard lecture format (Population 2). We want to prove that the hybrid format leads to a higher average student grade. For hypothesis testing, a sample of 35 students from the hybrid format is taken with a mean grade of 74. A sample of 40 students from the standard lecture format is taken with a mean grade of 70. Assume ₁ = 16 and ₂ = 9. With = 0.01, the critical z value is ___.

Question 2 options:

a)

1.96

b)

2.33

c)

1.645

d)

1.28

Question 3 (1 point)

An interesting research question is: what effect, if any, do different types of teaching formats have on the grade outcomes of students? In a current study, we consider two teaching formats: a hybrid format (Population 1) and a standard lecture format (Population 2). We want to prove that the hybrid format leads to a higher average student grade. For hypothesis testing, a sample of 35 students from the hybrid format is taken with a mean grade of 74. A sample of 40 students from the standard lecture format is taken with a mean grade of 70. Assume ₁ = 16 and ₂ = 9. With = 0.01, what is the test statistic based on the samples?

Question 3 options:

a)

t = 1.31

b)	None of the other choices

c)

z = 4.84

d)

z =1.31

e)	Not enough information to tell because the population distributions are unknown.

Question 4 (1 point)

An interesting research question is: what effect, if any, do different types of teaching formats have on the grade outcomes of students? In a current study, we consider two teaching formats: a hybrid format (Population 1) and a standard lecture format (Population 2). We want to prove that the hybrid format leads to a higher average student grade. For hypothesis testing, a sample of 35 students from the hybrid format is taken with a mean grade of 74. A sample of 40 students from the standard lecture format is taken with a mean grade of 70. Assume ₁ = 16 and ₂ = 9. What is the smallest at which H_o can be rejected?

Question 4 options:

a)	Not enough information to tell because the population distributions are unknown.

b)

0.190

c)

0.010

d)

0.095

Question 5 (1 point)

An interesting research question is: what effect, if any, do different types of teaching formats have on the grade outcomes of students? In a current study, we consider two teaching formats: a hybrid format (Population 1) and a standard lecture format (Population 2). A sample of 35 students from the hybrid format is taken with a mean grade of 74. A sample of 40 students from the standard lecture format is taken with a mean grade of 70. Assume ₁ = 16 and ₂ = 9. Choices below are given as [lower limit, upper limit]. What is the 90% confidence interval of ₁ - ₂?

Question 5 options:

a)	None of the other choices

b)	[-1.03, 9.03]

c)	[-0.86, 9.03]

d)	[-1.99, 9.99]

Question 6 (1 point)

We want to conduct an inferential statistical analysis on the means of two independent populations. H_a is that the two population means are different. We randomly select a sample of 9 items from the first population resulting in a mean of 14.3 and a standard deviation of 3.4. We then randomly select a sample of 14 items from the second population resulting in a mean of 11.8 and a standard deviation of 2.9. is set at 0.05. Assuming that the populations are normally distributed with equal variances, the critical value of the appropriate test statistic is ___.

Question 6 options:

a)

1.717

b)	None of the other choices

c)

1.321

d)

2.080

e)

1.323

Question 7 (1 point)

We want to conduct an inferential statistical analysis on the means of two independent populations. Ha is that the two population means are different. We randomly select a sample of 9 items from the first population resulting in a mean of 14.3 and a standard deviation of 3.4. We then randomly select a sample of 14 items from the second population resulting in a mean of 11.8 and a standard deviation of 2.9. is set at 0.10. Assuming that the populations are normally distributed with equal variances, what is the pooled sample standard deviation?

Question 7 options:

a)

3.30

b)	None of the other choices

c)

2.10

d)

3.10

Question 8 (1 point)

A researcher is conducting a matched-pairs study. She gathers data on each pair in the study resulting in:

Pair	Group 1	Group 2
1	10	12
2	8	9
3	11	11
4	8	10
5	9	12

Assume that the data are normally distributed in the populations. The sample standard deviation(s) is ___.

Question 8 options:

a)

1.04

b)

1.47

c)

1.14

d)

1.02

e)

1.3

Question 9 (1 point)

A researcher is estimating the average difference between two population means based on matched-pairs samples. She gathers data on each pair in the study resulting in:

Pair	Group 1	Group 2
1	10	12
2	8	9
3	11	11
4	8	10
5	9	12

Assume that the data are normally distributed in the population. A 95% confidence interval would be ___.

Question 9 options:

a)	-1.6 to -1.09

b)	-2.11 to 1.09

c)	-2.11 to -1.09

d)	-3.02 to -0.18

Question 10 (1 point)

Maureen Jackson, CEO of a mail order business for fashion shoes, is reviewing the order filling operations at their warehouses. Their goal is to have 100% of orders shipped within 24 hours. In previous years, the East Coast Warehouse performed about equally as well as the West Coast Warehouse. This year, their staff randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2) and reported that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 356 orders within 24 hours. Assuming = 0.05, the observed z value is ___.

Question 10 options:

a)

0.95

b)

-3.15

c)

2.42

d)

1.53

Question 11 (1 point)

Maureen Jackson, CEO of a mail order business for fashion shoes, is reviewing the order filling operations at their warehouses. Their goal is to have 100% of orders shipped within 24 hours. In previous years, the East Coast Warehouse performed about equally as well as the West Coast Warehouse. This year, their staff wanted to show Maureen that West Coast is doing better. To this end, they randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2) and reported that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 356 orders within 24 hours. Assuming = 0.01, the decision rule is___.

Question 11 options:

a)	Not enough information to tell

b)	Reject Ho if z >1.645

c)	Reject Ho if z >1.96

d)	Reject Ho if z >2.33

Question 12 (1 point)

Maureen Jackson, CEO of a mail order business for fashion shoes, is reviewing the order filling operations at their warehouses. Their goal is to have 100% of orders shipped within 24 hours. In previous years, the East Coast Warehouse performed about equally as well as the West Coast Warehouse. This year, their staff randomly selected 200 orders from the West Coast Warehouse (population 1) and 400 orders from the East Coast Warehouse (population 2) and reported that 190 of the West Coast Orders were shipped within 24 hours, and the East Coast Warehouse shipped 356 orders within 24 hours. What is the 99% confidence interval of p₁ - p₂?

Question 12 options:

a)	None of the other choices

b)	[0.003, 0.117]

c)	[0.890, 0.950]

d)	[0.017, 0.103]