Question 1

"Reject the null and accept the alternative" is a valid conclusion.

Accepted Answer

A) True 
 B)False  True

Question 2

In a particular measurement situation, it is possible to commit both a Type I and a Type II error.

Accepted Answer

A) True 
 B)False  False

Question 3

p-values range from -1 to +1.

Accepted Answer

A) True 
 B)False  False

Question 4

When p = .52, we have found statistical significance.

Accepted Answer

A) True 
 B)False

Question 5

When we make a conclusion that we have found statistical significance, we ______.

Accepted Answer

A)  reject the null 
B)  reject the alternative 
C)  retain the null 
D)  retain the alternative 
A)  reject the null 
B)  reject the alternative 
C)  retain the null 
D)  retain the alternative

Question 6

A friend asks if he should set alpha at .05 or .01. Which do you recommend and why?

Accepted Answer

.05 is the default choice. It is most co

Question 7

µ ≠ 10 is a valid null hypothesis.

Accepted Answer

A) True 
 B)False

Question 8

Which of the following could appear in an alternative hypothesis?

Accepted Answer

A)  = 
B)  ≥ 
C)  ≤ 
D)  ≠ 
A)  = 
B)  ≥ 
C)  ≤ 
D)  ≠

Question 9

If H0 is true, when F1F1F1S1F1F1F10 = .05 it is ______ than when F1F1F1S1F1F1F10 = .01

Accepted Answer

A)  more likely that you will falsely reject the alternative 
B)  less likely that you will falsely reject the alternative 
C)  more likely that you will falsely reject the null 
D)  less likely that you will falsely reject the null 
A)  more likely that you will falsely reject the alternative 
B)  less likely that you will falsely reject the alternative 
C)  more likely that you will falsely reject the null 
D)  less likely that you will falsely reject the null

Question 10

The region is rejection is defined by F1F1F1S1F1F1F10.

Accepted Answer

A) True 
 B)False

Question 11

Consider the following research question: Do men prefer our product more than women? This would be addressed with a ______.

Accepted Answer

A)  two-tailed test 
B)  one-tailed test 
C)  both a and b 
D)  none of these 
A)  two-tailed test 
B)  one-tailed test 
C)  both a and b 
D)  none of these

Question 12

It is more difficult to reject the null with a 1% significance level than a 5% significance level.

Accepted Answer

A) True 
 B)False

Question 13

If H0 is true, it is possible to commit a Type II error

Accepted Answer

A) True 
 B)False

Question 14

Changing F1F1F1S1F1F1F10 does not effect F1F1F1S1F1F1F10.

Accepted Answer

A) True 
 B)False

Question 15

Given a particular research question and a particular study conducted to test that question, is it possible to commit either a Type I or a Type II error? Are both possible, is only one possible, or is neither possible? Why?

Accepted Answer

Either a Type I error is possible or a T

Question 16

In a non-directional test, there are two critical values.

Accepted Answer

A) True 
 B)False

Question 17

Research questions should ______.

Accepted Answer

A)  be testable 
B)  be phrased in term of operational definitions 
C)  ask if there is no difference between variables 
D)  none of these 
A)  be testable 
B)  be phrased in term of operational definitions 
C)  ask if there is no difference between variables 
D)  none of these

Question 18

Which of the following could be a correctly reported test of the statistic "q"?

Accepted Answer

A)  q = 16, p = .02 
B)  q > 43, p = .17 
C)  q = 19, p ≤ .87 
D)  none of these 
A)  q = 16, p = .02 
B)  q > 43, p = .17 
C)  q = 19, p ≤ .87 
D)  none of these

Question 19

Assume that you have a fair coin. You flip this coin 10 times and conclude that it is unfair based upon a statistical test. You have ______.

Accepted Answer

A)  made a correct decision 
B)  committed a Type II error 
C)  committed a Type I error 
D)  none of these 
A)  made a correct decision 
B)  committed a Type II error 
C)  committed a Type I error 
D)  none of these

Question 20

F1F1F1S1F1F1F10 and F1F1F1S1F1F1F10 should be set before data is collected.

Accepted Answer

A) True 
 B)False

"Reject the null and accept the alternative" is a valid conclusion.

In a particular measurement situation, it is possible to commit both a Type I and a Type II error.

p-values range from -1 to +1.

When p = .52, we have found statistical significance.

When we make a conclusion that we have found statistical significance, we ______.

A friend asks if he should set alpha at .05 or .01. Which do you recommend and why?

µ ≠ 10 is a valid null hypothesis.

Which of the following could appear in an alternative hypothesis?

If H₀ is true, when  = .05 it is ______ than when  = .01

The region is rejection is defined by .

Consider the following research question: Do men prefer our product more than women? This would be addressed with a ______.

It is more difficult to reject the null with a 1% significance level than a 5% significance level.

If H₀ is true, it is possible to commit a Type II error

Changing  does not effect .

Given a particular research question and a particular study conducted to test that question, is it possible to commit either a Type I or a Type II error? Are both possible, is only one possible, or is neither possible? Why?

In a non-directional test, there are two critical values.

Research questions should ______.

Which of the following could be a correctly reported test of the statistic "q"?

Assume that you have a fair coin. You flip this coin 10 times and conclude that it is unfair based upon a statistical test. You have ______.

 and  should be set before data is collected.

The Language of Statistics

Working With Numbers and Data Display

Central Tendency and Variability

Probability Distributions

Sampling Distributions

Estimation and Confidence Intervals

Tests for Significance: Z-Tests and One-Sample T-Tests

Tests for Significance: Paired and Independent-Samples T-Test

Analysis of Variance Anova

CHI-Squared Tests of Fit

Correlation R and Regression Y BX A

Matching Statistical Tests to Business Problems

Filters

Exam 7: Hypothesis Testing

"Reject the null and accept the alternative" is a valid conclusion.

In a particular measurement situation, it is possible to commit both a Type I and a Type II error.

p-values range from -1 to +1.

When p = .52, we have found statistical significance.

When we make a conclusion that we have found statistical significance, we ______.

A friend asks if he should set alpha at .05 or .01. Which do you recommend and why?

µ ≠ 10 is a valid null hypothesis.

Which of the following could appear in an alternative hypothesis?

If H0 is true, when  = .05 it is ______ than when  = .01

The region is rejection is defined by .

Consider the following research question: Do men prefer our product more than women? This would be addressed with a ______.

It is more difficult to reject the null with a 1% significance level than a 5% significance level.

If H0 is true, it is possible to commit a Type II error

Changing  does not effect .

Given a particular research question and a particular study conducted to test that question, is it possible to commit either a Type I or a Type II error? Are both possible, is only one possible, or is neither possible? Why?

In a non-directional test, there are two critical values.

Research questions should ______.

Which of the following could be a correctly reported test of the statistic "q"?

Assume that you have a fair coin. You flip this coin 10 times and conclude that it is unfair based upon a statistical test. You have ______.

 and  should be set before data is collected.

The Language of Statistics

Working With Numbers and Data Display

Central Tendency and Variability

Probability Distributions

Sampling Distributions

Estimation and Confidence Intervals

Tests for Significance: Z-Tests and One-Sample T-Tests

Tests for Significance: Paired and Independent-Samples T-Test

Analysis of Variance Anova

CHI-Squared Tests of Fit

Correlation R and Regression Y BX A

Matching Statistical Tests to Business Problems

Filters

If H₀ is true, when  = .05 it is ______ than when  = .01

If H₀ is true, it is possible to commit a Type II error