Question 1

Which of the following would help you choose whether to use a one-tailed and a two-tailed test?

Accepted Answer

A)  $\alpha$ level is .05 or .01 
B)  Null hypothesis is used or not used 
C)  Research situation or applied situation 
D)  All of the other alternatives are correct. 
A)  $\alpha$ level is .05 or .01 
B)  Null hypothesis is used or not used 
C)  Research situation or applied situation 
D)  All of the other alternatives are correct.

Question 2

If the null hypothesis is true, the probability figure produced by null hypothesis statistical testing is accurate.

Accepted Answer

A) True 
 B)False

Question 3

Data Set 9-1: Sample scores: 2, 3, 4
-Test the scores in Data Set 9-1 against H0: $\mu$ = 4.00. The t value that results is

Accepted Answer

A)  1.00 
B)  1.41 
C)  1.73 
D)  3.00 
A)  1.00 
B)  1.41 
C)  1.73 
D)  3.00

Question 4

The symbol for an effect size index is ? (rho).

Accepted Answer

A) True 
 B)False

Question 5

Data Set 9-4: N = 6 $\Sigma$X = 30 $\Sigma$XS1U1P12S1S1P0 = 180
-Test the scores in Data Set 9-4 against H0: µ = 3.00. The t value that results is

Accepted Answer

A)  4.90 
B)  2.19 
C)  1.83 
D)  0.82 
E)  2.00 
A)  4.90 
B)  2.19 
C)  1.83 
D)  0.82 
E)  2.00

Question 6

Data Set 9-2: Scores: 1, 2, 3, 4, 5
-Test the scores in Data Set 9-2 against H0:$\mu$= 4.00. The t value that results is

Accepted Answer

A)  3.17 
B)  1.41 
C)  1.26 
D)  0.63 
A)  3.17 
B)  1.41 
C)  1.26 
D)  0.63

Question 7

A sampling distribution has one portion that represents differences that the investigator considers to be not due to chance. That part is called the

Accepted Answer

A)  significance region 
B)  rejection region 
C)  acceptance region 
D)  retention region. 
A)  significance region 
B)  rejection region 
C)  acceptance region 
D)  retention region.

Question 8

The reason for not reducing the $\alpha$ level to one in a million or even less is that

Accepted Answer

A)  tables do not exist for such small levels 
B) $\alpha$ would be too large 
C)  $\beta$ would be too large 
D) $\beta$would be too small. 
A)  tables do not exist for such small levels 
B) $\alpha$ would be too large 
C)  $\beta$ would be too large 
D) $\beta$would be too small.

Question 9

For a one-sample t test, an effect size that is considered large is

Accepted Answer

A)  0.80 
B)  1.00 
C)  1.50 
D)  all of the other alternatives are correct 
E)  none of the other alternatives are correct. 
A)  0.80 
B)  1.00 
C)  1.50 
D)  all of the other alternatives are correct 
E)  none of the other alternatives are correct.

Question 10

Data Set 9-3: N = 8 $\Sigma$X = 48 $\Sigma$XS1U1P12S1S1P0 = 351
-Test the scores in Data Set 9-3 against H0: $\mu$= 2.00. The t value that results is

Accepted Answer

A)  10.67 
B)  4.03 
C)  3.53 
D)  1.33 
E)  3.77 
A)  10.67 
B)  4.03 
C)  3.53 
D)  1.33 
E)  3.77

Question 11

"p > .05"means that

Accepted Answer

A)  the null hypothesis should be rejected 
B)  the difference between the statistic and the null hypothesis parameter is statistically significant 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  the null hypothesis should be rejected 
B)  the difference between the statistic and the null hypothesis parameter is statistically significant 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 12

If you analyze your data and fail to reject the null hypothesis, you should

Accepted Answer

A)  reject Hl 
B)  adopt Hl 
C)  either reject Hl or adopt Hl depending on the $\alpha$ level 
D)  neither reject Hl nor adopt Hl. 
A)  reject Hl 
B)  adopt Hl 
C)  either reject Hl or adopt Hl depending on the $\alpha$ level 
D)  neither reject Hl nor adopt Hl.

Question 13

A t test value that is smaller than the tabled value of t

Accepted Answer

A)  leads to retention of the null hypothesis 
B)  has a probability greater than $\alpha$, if the null hypothesis is true 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  leads to retention of the null hypothesis 
B)  has a probability greater than $\alpha$, if the null hypothesis is true 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 14

Data Set 9-4: N = 6 $\Sigma$X = 30 $\Sigma$XS1U1P12S1S1P0 = 180
-The value of the standard error of the mean for the scores in Data Set 9-4 is

Accepted Answer

A)  1.000 
B)  0.408 
C)  1.095 
D)  0.913 
E)  2.449 
A)  1.000 
B)  0.408 
C)  1.095 
D)  0.913 
E)  2.449

Question 15

The point that divides decisions about d is .05.

Accepted Answer

A) True 
 B)False

Question 16

The custom of using an$\alpha$ level of .05 got its start in the field of

Accepted Answer

A)  astronomy 
B)  agriculture 
C)  physics 
D)  government. 
A)  astronomy 
B)  agriculture 
C)  physics 
D)  government.

Question 17

Differences that fall into the rejection region are considered to be

Accepted Answer

A)  significant 
B)  not significant 
C)  errors 
D)  unfortunate because the experiment will have to be run again. 
A)  significant 
B)  not significant 
C)  errors 
D)  unfortunate because the experiment will have to be run again.

Question 18

The two opposing hypotheses in null hypothesis statistical testing are the null hypothesis and the valid hypothesis.

Accepted Answer

A) True 
 B)False

Question 19

"p < .05"means that

Accepted Answer

A)  the null hypothesis should be rejected 
B)  the difference analyzed by a t test is statistically significant 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives are correct. 
A)  the null hypothesis should be rejected 
B)  the difference analyzed by a t test is statistically significant 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives are correct.

Question 20

Data Set 9-1: Sample scores: 2, 3, 4
-Refer to Data Set 9-1. For H0: $\mu$ = 4.00, the effect size index is

Accepted Answer

A)  1.73 
B)  1.00 
C)  0.71 
A)  1.73 
B)  1.00 
C)  0.71

Which of the following would help you choose whether to use a one-tailed and a two-tailed test?

If the null hypothesis is true, the probability figure produced by null hypothesis statistical testing is accurate.

Data Set 9-1: Sample scores: 2, 3, 4 -Test the scores in Data Set 9-1 against H₀: $\mu$ = 4.00. The t value that results is

The symbol for an effect size index is ? (rho).

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -Test the scores in Data Set 9-4 against H₀: µ = 3.00. The t value that results is

Data Set 9-2: Scores: 1, 2, 3, 4, 5 -Test the scores in Data Set 9-2 against H₀: $\mu$ = 4.00. The t value that results is

A sampling distribution has one portion that represents differences that the investigator considers to be not due to chance. That part is called the

The reason for not reducing the $\alpha$ level to one in a million or even less is that

For a one-sample t test, an effect size that is considered large is

Data Set 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -Test the scores in Data Set 9-3 against H₀: $\mu$ = 2.00. The t value that results is

"p > .05"means that

If you analyze your data and fail to reject the null hypothesis, you should

A t test value that is smaller than the tabled value of t

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -The value of the standard error of the mean for the scores in Data Set 9-4 is

The point that divides decisions about d is .05.

The custom of using an $\alpha$ level of .05 got its start in the field of

Differences that fall into the rejection region are considered to be

The two opposing hypotheses in null hypothesis statistical testing are the null hypothesis and the valid hypothesis.

"p < .05"means that

Data Set 9-1: Sample scores: 2, 3, 4 -Refer to Data Set 9-1. For H₀: $\mu$ = 4.00, the effect size index is

Introduction

Exploring Data: Frequency Distributions and Graphs

Exploring Data: Central Tendency

Exploring Data: Variability

Other Descriptive Statistics

Correlation and Regression

Theoretical Distributions Including the Normal Distribution

Samples, Sampling Distributions, and Confidence Intervals

Hypothesis Testing, Effect Size, and and Confidence Intervals: Two-Sample Designs

Analysis of Variance: One-Way Classification

Analysis of Variance: One-Factor Repeated Measures

Analysis of Variance: Factorial Design

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

Exam 9: Hypothesis Testing and Effect Size: One-Sample Designs

Which of the following would help you choose whether to use a one-tailed and a two-tailed test?

If the null hypothesis is true, the probability figure produced by null hypothesis statistical testing is accurate.

Data Set 9-1: Sample scores: 2, 3, 4 -Test the scores in Data Set 9-1 against H0: μ\muμ = 4.00. The t value that results is

The symbol for an effect size index is ? (rho).

Data Set 9-4: N = 6 Σ\SigmaΣ X = 30 Σ\SigmaΣ X2 = 180 -Test the scores in Data Set 9-4 against H0: µ = 3.00. The t value that results is

Data Set 9-2: Scores: 1, 2, 3, 4, 5 -Test the scores in Data Set 9-2 against H0: μ\muμ = 4.00. The t value that results is

A sampling distribution has one portion that represents differences that the investigator considers to be not due to chance. That part is called the

The reason for not reducing the α\alphaα level to one in a million or even less is that

For a one-sample t test, an effect size that is considered large is

Data Set 9-3: N = 8 Σ\SigmaΣ X = 48 Σ\SigmaΣ X2 = 351 -Test the scores in Data Set 9-3 against H0: μ\muμ = 2.00. The t value that results is

"p > .05"means that

If you analyze your data and fail to reject the null hypothesis, you should

A t test value that is smaller than the tabled value of t

Data Set 9-4: N = 6 Σ\SigmaΣ X = 30 Σ\SigmaΣ X2 = 180 -The value of the standard error of the mean for the scores in Data Set 9-4 is

The point that divides decisions about d is .05.

The custom of using an α\alphaα level of .05 got its start in the field of

Differences that fall into the rejection region are considered to be

The two opposing hypotheses in null hypothesis statistical testing are the null hypothesis and the valid hypothesis.

"p < .05"means that

Data Set 9-1: Sample scores: 2, 3, 4 -Refer to Data Set 9-1. For H0: μ\muμ = 4.00, the effect size index is

Introduction

Exploring Data: Frequency Distributions and Graphs

Exploring Data: Central Tendency

Exploring Data: Variability

Other Descriptive Statistics

Correlation and Regression

Theoretical Distributions Including the Normal Distribution

Samples, Sampling Distributions, and Confidence Intervals

Hypothesis Testing, Effect Size, and and Confidence Intervals: Two-Sample Designs

Analysis of Variance: One-Way Classification

Analysis of Variance: One-Factor Repeated Measures

Analysis of Variance: Factorial Design

Chi Square Tests

More Nonparametric Tests

Appendix: Grouped Frequency Distributions and Central Tendency

Filters

Data Set 9-1: Sample scores: 2, 3, 4 -Test the scores in Data Set 9-1 against H₀: $\mu$ = 4.00. The t value that results is

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -Test the scores in Data Set 9-4 against H₀: µ = 3.00. The t value that results is

Data Set 9-2: Scores: 1, 2, 3, 4, 5 -Test the scores in Data Set 9-2 against H₀: $\mu$ = 4.00. The t value that results is

The reason for not reducing the $\alpha$ level to one in a million or even less is that

Data Set 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -Test the scores in Data Set 9-3 against H₀: $\mu$ = 2.00. The t value that results is

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -The value of the standard error of the mean for the scores in Data Set 9-4 is

The custom of using an $\alpha$ level of .05 got its start in the field of

Data Set 9-1: Sample scores: 2, 3, 4 -Refer to Data Set 9-1. For H₀: $\mu$ = 4.00, the effect size index is