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Pagano-Understanding Statistics in Behavioral Sci (Homework)

James Finch

Statistics, section 2, Fall 2019

Instructor: Dr. Friendly

Current Score : 7 / 49

Due : Sunday, January 27, 2030 23:30 EST

Last Saved : n/a Saving...  ()

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  • Instructions

    Here is a sample assignment with questions to accompany Understanding Statistics in Behavioral Sciences 9/e by Robert R. Pagano published by Wadsworth. Click here for a list of all of the questions coded in WebAssign.

    Questions 1, 2, 3, and 4 are Tutorial questions. They provide step-by-step walk-throughs that demonstrate common problem types.

    Questions 5, 6, 7 and 8 are Additional Practice Problems. These problems are similar to the practice problems in the textbook. Each problem presents an ideal solution which is especially useful to students for learning the solution and for correcting their own attempts at solving the problem.

    Questions 9, 10, 11, and 12 are End-of-Chapter problems from your text. These questions are exactly the same as the questions in your textbook except for minor wording changes to make them work in a web environment. As often as possible, variables, and numbers are generated so that each student will receive a unique version and so students can attempt the problem multiple times. This demo assignment allows many submissions and allows you to try another version of the same question for practice.

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1. –/1 points PagUnderStat9 2.Tut.01. My Notes
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5. –/2 points PagUnderStat9 4.APP.03. My Notes
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Calculate the standard deviation of the following set of sample scores.
(a)    12, 14, 16, 19, 22, 24, 27


(b)    0.1, 0.4, 0.8, 1.2, 1.7, 2.8
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6. –/1 points PagUnderStat9 5.APP.02. My Notes
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Scores obtained on a particular aptitude test by psychology students are normally distributed, with a mean of 150 and a standard deviation of 25. Assume the distribution is a population set of scores. What is the percentile rank of a score of 180?
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7. –/3 points PagUnderStat9 14.APP.01. My Notes
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The correlated t test is very much like the t test for single samples. The main difference is that with the correlated t test, we analyze a single set of difference scores, while with the t test for single samples we analyze a single set of raw scores. Let's first do a bare bones problem for practice.

Given the data shown in the table below, determine whether there is a significant difference between conditions. In the experiment, each subject was run in both conditions, resulting in paired scores for each subject. Assume that Condition 1 and Condition 2 were made as similar as possible, except that in Condition 1 the IV was present and in Condition 2 it was absent. Use α = 0.052 tail in making your decision.

Subject Condition 1 Condition 2
1
2
3
4
5
6
7
8 		25
22
18
36
24
11
31
27 		28
20
22
39
23
15
36
29

tobt =
tcrit = ±
What is your conclusion?
    
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A clinical psychologist conducts an experiment to evaluate two methods for promoting smoking cessation, nicotine patch and nicotine gum. Eighteen volunteers from a heavy smoking population are assigned six each to one of three groups. Conditions are similar for all groups, except for the treatment. Subjects in Group 1 get the nicotine patch. Subjects in Group 2 get the nicotine gum and subjects in Group 3 chew a placebo gum. All subjects are asked to do their best to stop smoking. The treatment for each group lasts for three months. On the last treatment day the number of cigarettes smoked by each subject is recorded. The results are shown in the following table.

Group 1
Nicotine Patch 		Group 2
Nicotine Gum 		Group 3
Placebo Gum
10
8
6
7
10
9 		11
6
9
7
8
5 		15
12
14
16
15
12

(a) What is the alternative hypothesis?
    

(b) What is the null hypothesis?
    

(c) What is the conclusion? Use α = 0.05.
Fobt =
Fcrit =
    
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9. 5/5 points  |  Previous Answers PagUnderStat9 2.EOC.11. My Notes
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Round the following numbers to one decimal place.
(a) 1.923
Correct: Your answer is correct.

(b) 22.250
Correct: Your answer is correct.

(c) 101.550
Correct: Your answer is correct.

(d) 42.777
Correct: Your answer is correct.

(e) 33.473
Correct: Your answer is correct.

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10. –/6 points PagUnderStat9 4.EOC.35. My Notes
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A social psychologist interested in the dating habits of college undergraduates samples 10 students and determines the number of dates they have had in the last month. Given the scores 2, 6, 12, 3, 6, 13, 5, 4, 6, 17 compute the following:
(a) Mean


(b) Median


(c) Mode (If the mode does not exist, enter NONE.)


(d) Range


(e) Standard deviation


(f) Variance
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11. 2/4 points  |  Previous Answers PagUnderStat9 6.EOC.15. My Notes
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In a large introductory sociology course, a professor gives two exams. The professor wants to determine whether the scores students receive on the second exam are correlated with their scores on the first exam. To make the calculations easier, a sample of eight students is selected. Their scores are shown in the accompanying table.

Student Exam 1 Exam 2
1 58 62
2 74 101
3 70 78
4 74 70
5 56 74
6 81 99
7 81 84
8 63 90

(a) Construct a scatter plot of the data, using exam 1 score as the X variable.
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Clear Graph
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Submission Data

Correct: Your answer is correct.
Does the relationship look linear?
     Correct: Your answer is correct.

(b) Assuming a linear relationship exists between scores on the two exams, compute the value for Pearson r.


(c) How well does the relationship account for the scores on exam 2?
%
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12. 0/6 points  |  Previous Answers PagUnderStat9 10.EOC.09. My Notes
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A primatologist believes that rhesus monkeys possess curiosity. She reasons that, if this is true, then they should prefer novel stimulation to repetitive stimulation. An experiment is conducted in which 12 rhesus monkeys are randomly selected from the university colony and taught to press two bars. Pressing bar 1 always produces the same sound, whereas bar 2 produces a novel sound each time it is pressed. After learning to press the bars, the monkeys are tested for 15 minutes, during which they have free access to both bars. The number of presses on each bar during the 15 minutes is recorded. The resulting data are as follows:

Subject Bar 1 Bar 2
1 23 51
2 25 36
3 22 36
4 12 26
5 1 23
6 24 29
7 13 26
8 27 33
9 14 29
10 5 19
11 29 38
12 29 30

(a) What is the alternative hypothesis? In this case, assume a nondirectional hypothesis is appropriate because there is insufficient empirical basis to warrant a directional hypothesis.
     Incorrect: Your answer is incorrect.

(b) What is the null hypothesis?
    

(c) Using α = 0.052-tail, what is your conclusion?
p(obtained probability) =
    

(d) What error may you be making by your conclusion in part (c)?
    

(e) To what population does your conclusion apply?
    
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13. –/14 points PagUnderStat9 15.EOC.25. My Notes
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A university researcher knowledgeable in Chinese medicine conducted a study to determine whether acupuncture can help reduce cocaine addiction. In this experiment, 18 cocaine addicts were randomly assigned to one of three groups of 6 addicts per group. One group received 10 weeks of acupuncture treatment in which the acupuncture needles were inserted into points on the outer ear where stimulation is believed to be effective. Another group, a placebo group, had acupuncture needles inserted into points on the ear believed not to be effective. The third group received no acupuncture treatment; instead, addicts in this group received relaxation therapy. All groups also received counseling over the 10-week treatment period. The dependent variable was craving for cocaine as measured by the number of cocaine urges experienced by each addict in the last week of treatment. The following are the results.

Acupuncture +
Counseling 		Placebo +
Counseling 		Relaxation Therapy +
Counseling
3 8 11
8 11 6
8 12 11
5 10 8
1 9 10
5 9 7

(a) Using α = 0.05, what do you conclude?
Fill in the missing values.
Source SS df s2 Fobt
Between
Within
Total

What is the critical F value?
Fcrit =
What do you conclude?
    

(b) If there is a significant effect, estimate the size of the effect, using omega hat2. (If there is not a significant effect, enter NO EFFECT.)
omega hat2 =

(c) This time estimate the size of the effect, using η2.
η2 =
(d) Explain the difference in answers between part (b) and part (c).
    
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