Problem A statistics professor wished to determine whether students devote equal amounts of preparation time to in-class and take-home final examinations (each student can have only one final exam). A study?was conducted, using 14 member random samples. When preparing for an in-class final examination, the participants devoted an average of 17.2 hours with a standard deviation of 4.3 hours. For the take-home final examination, the mean was 21.8 hours with a standard deviation of 3.6 hours. Question Is the hypothesis one-tailed or two-tailed (what type of hypothesis)?

A.

one-tailed hypothesis

B.

two-tailed hypothesis

C.

null hypothesis

D.

directional hypothesis

E.

Both B and C are correct

In order to test for differences in the effects of five diet programs, the researcher recruited 60 people who wished to reduce their weight. They were randomly assigned to five groups. Each group met on a regular basis and each group was taught different techniques for weight loss. The dependent variable was the weight loss for the individual participant. The question was Is there a significant difference in the effects due to the different techniques??

A.

t test for dependent samples

B.

one-sample t test

C.

t test for independent samples

D.

one-way ANOVA

E.

Pearson?s correlation coefficient

F.

coefficient of determination (COD)

Problem

A university professor proposes to implement an experimental course that she believes may help statistics comprehension in graduate students. To evaluate the ?effectiveness? of the course (the professor is not sure whether the course will help or hurt student comprehension), the professor administers a pretest to the experimental group prior to the course. After the course is finished, the professor administers the same exam again (i.e., a posttest). Scores on the tests are graded and reported as follows:

Problem 1 Data Set

Pretest Scores

Posttest Scores

100

99

65

87

74

80

97

99

95

88

75

75

91

104

107

81

66

77

101

87

94

75

88

70

Question

What is the most appropriate statistic to use to solve this problem?

A.

t test for dependent samples

B.

one-sample t test

C.

t test for independent samples

D.

one-way ANOVA

E.

Pearson?s correlation coefficient

F.

correlation of determination (COD)

A statistics professor wishes to determine whether students devote equal amounts of preparation time to in-class and take-home final examinations (each student can have only one final exam). A study is conducted, using 14 member random samples. When preparing for an in-class final examination, the participants devoted an average of 17.2 hours, with a standard deviation of 4.3 hours. For the take-home final examination, the mean was 21.8 hours, with a standard deviation of 3.6 hours. Question What is the most appropriate statistic to answer the question?

A.

t test for dependent samples

B.

one-sample t test

C.

t test for independent samples

D.

one-way ANOVA

E.

Pearson?s correlation coefficient

F.

coefficient of determination (COD)

Problem

A university professor proposes to implement an experimental course he developed that increases statistics comprehension in graduate students. To evaluate the ?effectiveness? of the course, the professor administers a pretest to the experimental group prior to the course. After the course is finished, the professor administers the same exam again (i.e. a posttest). Scores on the tests are graded and reported as follows:

Problem 1 Data Set

Pretest Scores

Posttest Scores

100

99

65

87

74

80

97

99

95

88

75

75

91

104

107

81

66

77

101

87

94

75

88

70

Question

Is there a significant statistical difference (p < .05) between the two groups?

A.

Yes. A significant statistical difference (p < .05) exists between the two groups.

B.

No. A significant statistical difference (p > .05) does not exist between the two groups.

C.

Yes. A significant statistical difference (p < .05) does not exist between the two groups.

D.

No. A significant statistical difference (p > .05) does exist between the two groups.

10 points

Problem

A university professor proposes to implement an experimental course he developed that increases statistics comprehension in graduate students. To evaluate the ?effectiveness? of the course, the professor administers a pretest to the experimental group prior to the course. After the course is finished, the professor administers the same exam again (i.e., a posttest). Scores on the tests are graded and reported as follows:

Problem 1 Data Set

Pretest Scores

Posttest Scores

100

99

65

87

74

80

97

99

95

88

75

75

91

104

107

81

66

77

101

87

94

75

88

70

Question

Interpret and apply the results of the statistical findings t(11) = 0.61, p = 0.2760. Pay particular attention to the mean score of each group. Select the choice that provides the correct interpretation.

a.

Since one-person is providing two scores (Pre-Test & Post-Test) and there are only two groups, it is impossible to statistically analyze the results of these data. Accordingly, t(11) = 0.61, p = 0.2760, although indicating no statistical significant difference (p > .05) between Pre-Test and Post-Test scores was found, this result is meaningless ? inappropriately applied. In fact, only the mean score of the Pre-Test group of 87.75 (SD = 13.62) and the mean score of the Post-Test group of 85.17 (SD = 10.41), meaning the ?effectiveness? scores decreased, is the only way to statistically answer the question above.

b.

Since one-person is providing two scores (Pretest & Posttest), t test for independent samples is the most appropriate statistic to use. Accordingly, t(11) = 0.61, p = 0.2760, indicates a statistical significant difference (p < .05) between Pretest and Posttest scores was found. In fact, the mean score of the Pretest group was 87.75 (SD =?13.62) and the mean score of the Posttest group was 85.17 (SD?=?10.41) meaning the ?effectiveness? of course was not good, meaning the course caused scores to decrease.

c.

Cannot answer the question based on the information in the problem statement and given data set.

d.

Since one-person is providing two scores (Pretest & Posttest), the t test for dependent samples is the most appropriate statistic to use. Accordingly, t(11) = 0.61, p = 0.2760, indicates no statistical significant difference (p > .05) between Pretest and Posttest scores was found. In fact, the mean score of the Pretest group was 87.75 (SD =?13.62) and the mean score of the Posttest group was 85.17 (SD =?10.41) meaning the ?effectiveness? of course was not good, meaning the course caused scores to decrease.

e.

Since one-person is providing two scores (Pretest & Posttest), a one sample t test is the most appropriate statistic to use. Accordingly, t(11) = 0.61, p = 0.2760, indicates a statistical significant difference (p < .05) between Pretest and Posttest scores was found. In fact, the mean score of the Pretest group was 87.75 (SD =?13.62) and the mean score of the Posttest group was 85.17 (SD =10.41) meaning the ?effectiveness? of course was not good, meaning the course caused scores to decrease.

20 points

Problem

A university professor proposes to implement an experimental course he developed that increases statistics comprehension in graduate students. To evaluate the ?effectiveness? of the course, the professor administers a pretest to the experimental group prior to the course. After the course is finished, the professor administers the same exam again (i.e. a posttest). Scores on the tests are graded and reported as follows:

Problem 1 Data Set

Pretest Scores

Posttest Scores

100

99

65

87

74

80

97

99

95

88

75

75

91

104

107

81

66

77

101

87

94

75

88

70

Question

Use the Excel statistics spreadsheet and calculate the value of the t statistic. Provide your answer to two significant digits (e.g., 0.04).

A.

0.05

B.

0.06

C.

0.51

D.

0.61

Problem Sam Sawyer measured the 15 members of his track team on their speed running of the 100 meter dash. He also measured the heights of each team member. Sam wished to measure the relationship between height and speed on the 100 meter run. Question What is the most appropriate statistic to answer the question?

A.

t test for dependent samples

B.

one-sample t test

C.

t test for independent samples??

D.

one-way ANOVA?

E.

Pearson?s correlation coefficient

F.

coefficient of determination (COD)

Problem A statistics professor wishes to determine whether students devote equal amounts of preparation time to in-class and take-home final examinations (each student can have only one final exam). A study is conducted, using 14 member random samples. When preparing for an in-class final examination, the participants devoted an average of 17.2 hours, with a standard deviation of 4.3 hours. For the take-home final examination, the mean was 21.8 hours, with a standard deviation of 3.6 hours. Question Is the hypothesis one-tailed or two-tailed (null or directional hypothesis)?

A.

One-Tailed

B.

Two-Tailed

C.

Null Hypothesis

D.

Directional Hypothesis

E.

Both A and?D are correct

F.

None of the above

Get help from top-rated tutors in any subject.

Efficiently complete your homework and academic assignments by getting help from the experts at homeworkarchive.com