Question 1

Data Set 9-3: N = 8 $\Sigma$X = 48 $\Sigma$XS1U1P12S1S1P0 = 351
-Test the scores in Data Set 9-3 against H0: µ = 9.00. The t value that results is

Accepted Answer

A)  2.83 
B)  3.02 
C)  2.65 
D)  8.00 
E)  1.00 
A)  2.83 
B)  3.02 
C)  2.65 
D)  8.00 
E)  1.00

Question 2

The Rathus Assertiveness Schedule is a 30-item questionnaire. The mean score for women on this instrument is 8. Suppose that the unit of your college that is in charge of personal development conducted a six-week course in assertiveness and at the end of the course the following scores were obtained from the 10 women who completed the course. Perform a t test, calculate the effect size index, and write a conclusion about the assertiveness course.20 , 36 , 0 , 44 , 16 , -6 , 50 , 28 , 24 , 8

Accepted Answer

\[\begin{array} { l l l } 
\Sigma \mathr

Question 3

A psychologist who taught the introductory psychology course always gave her class a "misinformation test"on the first day of class. Her test contained some commonly held incorrect beliefs about psychology. Over the years the mean number of errors on this test had been 21.50. The data for this year follow. Analyze the data with a t test, calculate the effect size index, and write a conclusion.$\Sigma$X = 198 $\Sigma$X2 = 4700 N = 11

Accepted Answer

\[\begin{array} { l l } 
\bar { X } = 1

Question 4

When an experimenter uses $\alpha$ = .05, the rejection region is

Accepted Answer

A)  95 percent of the curve 
B)  5 percent of the curve 
C)  5 percent of a one tailed test and 10 percent of a two tailed test 
D)  10 percent of a one tailed test and 5 percent of a two tailed test. 
A)  95 percent of the curve 
B)  5 percent of the curve 
C)  5 percent of a one tailed test and 10 percent of a two tailed test 
D)  10 percent of a one tailed test and 5 percent of a two tailed test.

Question 5

Data Set 9-4: N = 6 $\Sigma$X = 30 $\Sigma$XS1U1P12S1S1P0 = 180
-Refer to Data Set 9-4. For H0: $\mu$ = 3.00, the effect size index is

Accepted Answer

A)  2.00 
B)  0.82 
C)  0.89 
D)  none of the other alternatives are correct. 
A)  2.00 
B)  0.82 
C)  0.89 
D)  none of the other alternatives are correct.

Question 6

For a one-sample t test, an effect size that would qualify as small is

Accepted Answer

A)  any negative value 
B)  0.20 
C)  1.00 
D)  1.96 
E)  2.58. 
A)  any negative value 
B)  0.20 
C)  1.00 
D)  1.96 
E)  2.58.

Question 7

The issue of the amount of difference between the mean of the population the sample is from and the mean of the null hypothesis population is the issue of

Accepted Answer

A)  hypothesis testing or confidence intervals 
B)  Type I and Type II errors 
C)  effect size 
D)  .05 or .01 $\alpha$ level. 
A)  hypothesis testing or confidence intervals 
B)  Type I and Type II errors 
C)  effect size 
D)  .05 or .01 $\alpha$ level.

Question 8

Suppose you obtained a sample from a population for which the null hypothesis was true. On the basis of a t test, you failed to reject the null hypothesis. You have made a

Accepted Answer

A)  Type I error 
B)  Type II error 
C)  correct decision 
D)  any of the other alternatives could be correct more information is needed. 
A)  Type I error 
B)  Type II error 
C)  correct decision 
D)  any of the other alternatives could be correct more information is needed.

Question 9

Data Set 9-1: Sample scores: 2, 3, 4
-The value of the standard error of the mean for the scores in Data Set 9-1 is

Accepted Answer

A)  1.000 
B)  0.816 
C)  0.707 
D)  0.577 
E)  0.333 
A)  1.000 
B)  0.816 
C)  0.707 
D)  0.577 
E)  0.333

Question 10

Suppose the difference between a sample mean and the null hypothesis mean was not in the rejection region of the sampling distribution. This means that the difference is

Accepted Answer

A)  probably the result of mistakes 
B)  too large to be expected from a population with the null hypothesis mean 
C)  reasonable, if the null hypothesis is true 
D)  significant. 
A)  probably the result of mistakes 
B)  too large to be expected from a population with the null hypothesis mean 
C)  reasonable, if the null hypothesis is true 
D)  significant.

Question 11

"p < .05"means that

Accepted Answer

A)  the null hypothesis should be retained 
B)  the difference analyzed by a t test is not statistically significant 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  the null hypothesis should be retained 
B)  the difference analyzed by a t test is not statistically significant 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Question 12

Which of the following captures the idea of null hypothesis statistical testing (NHST) as used in your text?

Accepted Answer

A)  Use sample data to tell you whether the sample came from a hypothesized population. 
B)  Use sample statistics to establish the specific value of a population parameter. 
C)  Use population data to confirm that the sample came from the population. 
D)  Show that population parameters correspond to sample statistics. 
A)  Use sample data to tell you whether the sample came from a hypothesized population. 
B)  Use sample statistics to establish the specific value of a population parameter. 
C)  Use population data to confirm that the sample came from the population. 
D)  Show that population parameters correspond to sample statistics.

Question 13

Suppose you obtained a sample from a population different from the one specified by the null hypothesis. On the basis of a t test, you failed to reject the null hypothesis. You have made a

Accepted Answer

A)  Type I error 
B)  Type II error 
C)  correct decision 
D)  any of the other alternatives could be more information is needed. 
A)  Type I error 
B)  Type II error 
C)  correct decision 
D)  any of the other alternatives could be more information is needed.

Question 14

The denominator of a t test is a standard error of the mean.

Accepted Answer

A) True 
 B)False

Question 15

Data were gathered, the results analyzed, and Hl accepted. Based on the logic of hypothesis testing, you can conclude that

Accepted Answer

A)  a Type I error was made 
B)  a Type II error was made 
C)  H0 was retained 
D)  H0 was rejected. 
A)  a Type I error was made 
B)  a Type II error was made 
C)  H0 was retained 
D)  H0 was rejected.

Question 16

A Type I error is not possible when a sample comes from a population with a mean

Accepted Answer

A)  equal to the null hypothesis mean 
B)  different from to the null hypothesis mean 
C)  both of the descriptive alternatives are correct 
A)  equal to the null hypothesis mean 
B)  different from to the null hypothesis mean 
C)  both of the descriptive alternatives are correct

Question 17

An experimenter wanted to test the hypothesis that a particular sample came from a population with a mean of 10. The sample had a mean of 8 and the standard error of the mean was .80. In order to test the experimenter's hypothesis with a t test, you would also need to know

Accepted Answer

A)  µ 
B)  $\bar { X }$ 
C)  $s _ { X }$ 
D)  N. 
A)  µ 
B)  $\bar { X }$ 
C)  $s _ { X }$ 
D)  N.

Question 18

Which of the following is a correct pairing?

Accepted Answer

A)  Type I error, $\alpha$ 
B)  Type I error, $\beta$ 
C)  Type II error, $\alpha$ 
A)  Type I error, $\alpha$ 
B)  Type I error, $\beta$ 
C)  Type II error, $\alpha$

Question 19

Data Set 9-3: N = 8 $\Sigma$X = 48 $\Sigma$XS1U1P12S1S1P0 = 351
-The t value you calculated when the scores in Data Set 9-3 were tested against H0: $\mu$ = 2.00 leads to the conclusion that the null hypothesis should be

Accepted Answer

A)  rejected at the .05 level for a two-tailed test 
B)  rejected at the .05 and .01 level for a two-tailed test 
C)  rejected at the .05, .01, and .001 level for a two-tailed test 
D)  retained. 
A)  rejected at the .05 level for a two-tailed test 
B)  rejected at the .05 and .01 level for a two-tailed test 
C)  rejected at the .05, .01, and .001 level for a two-tailed test 
D)  retained.

Question 20

Which phrase goes with "not in the rejection region"?

Accepted Answer

A)  calculated probability is small 
B)  reject the null hypothesis 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct. 
A)  calculated probability is small 
B)  reject the null hypothesis 
C)  both of the descriptive alternatives are correct 
D)  neither of the descriptive alternatives is correct.

Data Set 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -Test the scores in Data Set 9-3 against H₀: µ = 9.00. The t value that results is

When an experimenter uses $\alpha$ = .05, the rejection region is

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -Refer to Data Set 9-4. For H₀: $\mu$ = 3.00, the effect size index is

For a one-sample t test, an effect size that would qualify as small is

The issue of the amount of difference between the mean of the population the sample is from and the mean of the null hypothesis population is the issue of

Suppose you obtained a sample from a population for which the null hypothesis was true. On the basis of a t test, you failed to reject the null hypothesis. You have made a

Data Set 9-1: Sample scores: 2, 3, 4 -The value of the standard error of the mean for the scores in Data Set 9-1 is

Suppose the difference between a sample mean and the null hypothesis mean was not in the rejection region of the sampling distribution. This means that the difference is

"p < .05"means that

Which of the following captures the idea of null hypothesis statistical testing (NHST) as used in your text?

Suppose you obtained a sample from a population different from the one specified by the null hypothesis. On the basis of a t test, you failed to reject the null hypothesis. You have made a

The denominator of a t test is a standard error of the mean.

Data were gathered, the results analyzed, and H_l accepted. Based on the logic of hypothesis testing, you can conclude that

A Type I error is not possible when a sample comes from a population with a mean

An experimenter wanted to test the hypothesis that a particular sample came from a population with a mean of 10. The sample had a mean of 8 and the standard error of the mean was .80. In order to test the experimenter's hypothesis with a t test, you would also need to know

Which of the following is a correct pairing?

Data Set 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -The t value you calculated when the scores in Data Set 9-3 were tested against H₀: $\mu$ = 2.00 leads to the conclusion that the null hypothesis should be

Which phrase goes with "not in the rejection region"?

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

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 = 9.00. The t value that results is

When an experimenter uses α\alphaα = .05, the rejection region is

Data Set 9-4: N = 6 Σ\SigmaΣ X = 30 Σ\SigmaΣ X2 = 180 -Refer to Data Set 9-4. For H0: μ\muμ = 3.00, the effect size index is

For a one-sample t test, an effect size that would qualify as small is

The issue of the amount of difference between the mean of the population the sample is from and the mean of the null hypothesis population is the issue of

Suppose you obtained a sample from a population for which the null hypothesis was true. On the basis of a t test, you failed to reject the null hypothesis. You have made a

Data Set 9-1: Sample scores: 2, 3, 4 -The value of the standard error of the mean for the scores in Data Set 9-1 is

Suppose the difference between a sample mean and the null hypothesis mean was not in the rejection region of the sampling distribution. This means that the difference is

"p < .05"means that

Which of the following captures the idea of null hypothesis statistical testing (NHST) as used in your text?

Suppose you obtained a sample from a population different from the one specified by the null hypothesis. On the basis of a t test, you failed to reject the null hypothesis. You have made a

The denominator of a t test is a standard error of the mean.

Data were gathered, the results analyzed, and Hl accepted. Based on the logic of hypothesis testing, you can conclude that

A Type I error is not possible when a sample comes from a population with a mean

An experimenter wanted to test the hypothesis that a particular sample came from a population with a mean of 10. The sample had a mean of 8 and the standard error of the mean was .80. In order to test the experimenter's hypothesis with a t test, you would also need to know

Which of the following is a correct pairing?

Data Set 9-3: N = 8 Σ\SigmaΣ X = 48 Σ\SigmaΣ X2 = 351 -The t value you calculated when the scores in Data Set 9-3 were tested against H0: μ\muμ = 2.00 leads to the conclusion that the null hypothesis should be

Which phrase goes with "not in the rejection region"?

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 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -Test the scores in Data Set 9-3 against H₀: µ = 9.00. The t value that results is

When an experimenter uses $\alpha$ = .05, the rejection region is

Data Set 9-4: N = 6 $\Sigma$ X = 30 $\Sigma$ X² = 180 -Refer to Data Set 9-4. For H₀: $\mu$ = 3.00, the effect size index is

Data were gathered, the results analyzed, and H_l accepted. Based on the logic of hypothesis testing, you can conclude that

Data Set 9-3: N = 8 $\Sigma$ X = 48 $\Sigma$ X² = 351 -The t value you calculated when the scores in Data Set 9-3 were tested against H₀: $\mu$ = 2.00 leads to the conclusion that the null hypothesis should be