Part One:
Please note that for all problems in this course, the standard cut-off for a test of significance will be p < .05 unless otherwise noted in the problem.
1. Single-Sample t test: based on Green and Salkind Lesson, but follow the instructions below instead.
1. A total score variable is included in the data file in Blackboard("tot_score"), so you do not have to compute it. Use this variable as your dependent variable.
2. The test value for the single-sample t-test is 2 (1/4 of 8, or the score which a student would achieve by chance). Use 2 as the test value when running the analysis for this exercise.
3. Conduct a single-sample t-test on the total score variable. Paste the output into your Microsoft Word document and type in the answers to the following questions underneath the output:
a. Mean algebra score
b. t test value (the result of the t test, not the "test value" which is already given)
c. p value (significance) of the test
4. Write a current APA-style Results section based on your analysis. All homework "Results sections" must follow the example given in the SPSS tutorials and the Course Content document "Writing Results of Statistical Tests in Current APA Format" (note: you do not have to refer to a figure).Remember to include a decision about the null hypothesis.
5. Create a histogram that demonstrates the distribution of scores. Be sure to correctly label the X and Y axes and give your graph a title.
2. Green and Salkind:
The following helpful tips are numbered to correspond with the exercise number to which they refer within the Green and Salkind text:
6. Instead of identifying these values on your output, as the text states, please write them into your Microsoft Word file as written answers for #6 a, b, c, and d. (output = 2 pts; a-d = 2 pts. each)
7. Write a current APA-style Results section based on your analyses. All homework "Results sections" must follow the example given in the SPSS tutorials and the Course Content document "Writing Results of Statistical Tests in Current APA Format" (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis.
8. You will create the boxplot here instead of in the Results section.
Part Two:
1.A counseling psychologist administers an interview assessment that screens for possible internet addiction to his adolescent clients who live in a rural area. He assumes that children in this area may exhibithigher scores than children in the general population, who normally score a 20on a scale of 1-100. The table below shows the scores the counselor has collected. Using the table, enter the data into a new SPSS file and conduct a single sample t-test to evaluate whether or not these adolescents scored higher than the general population.
The steps will be the same as the ones you have been practicing in Part One of the assignment-the only difference is that you are now responsible for creating the data file as well. Remember to name and define your variables under the "Variable View," then return to the "Data View" to enter the data.
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Internet Addiction Interview Scores
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22
57
63
17
10
18
9
51
46
9
23
3
18
55
12
27
|
a) Paste SPSS output
b) Write a current APA-style Results section based on your analyses. All homework "Results sections" must follow the example given in the SPSS tutorials and the Course Content document "Writing Results of Statistical Tests in Current APA Format" (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis.
c) Create a histogram that demonstrates the distribution of scores. Be sure to correctly label the X and Y axes.
2. A clinical psychologist is studying the differences in the number of Facebook® friends between identical twins raised apart. Shebelieves that twins raised in different environments will have differences in the number of friends, which would help point to the influence of environmental factors over inherited factors on social outcomes. She divides the twins into two groups ("Twin 1" and "Twin 2"), collects the data, and creates the table below. Using this table, enter the data into a new SPSS data file and run a paired-samples ttest to test the claim that the identical twins raised apart will have a significantly different number of Facebook® friends.
The steps will be the same as the ones you have been practicing in Part One of the assignment-the only difference is that you are now responsible for creating the data file as well. Remember to name and define your variables under the "Variable View," then return to the "Data View" to enter the data.
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Twin 1
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Twin 2
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254
64
91
78
89
178
47
205
21
90
136
19
40
212
231
55
|
196
61
119
43
79
180
61
116
101
87
126
51
56
247
70
29
|
a) Paste SPSS output
b) Write a current APA-style Results section based on your analysis. All homework "Results sections" must follow the example given in the SPSS tutorials and the Course Content document "Writing Results of Statistical Tests in Current APA Format" (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis.
c) Create a boxplot comparing the twins' scores. Be sure to correctly label the X and Y axes.