PSYC 355 SPSS Homework 7 CHI SQUARE  Complete Solution
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SPSS Homework 7 Instructions
Chi Square
Part 1:
Green & Salkind: Lesson 40, Exercises 1–4
The following helpful tips are numbered to correspond with the exercise number to which they refer (a dash indicates that no tips are needed):
 Use the method reviewed in the presentation to weight the cases for this data set. (no points—done in data file)
 Do a, b, and c. (2 pts for output and 2 pts each for a–c)
  (2 pts)
 All homework “Results sections” must follow the example given in the Course Content document “Writing Results of Statistical Tests in Current APA Format” (Note: you do not have to refer to a figure). (2 pts)
Green & Salkind: Lesson 41, Exercises 1–3
The following helpful tips are numbered to correspond with the exercise number to which they refer (a dash indicates that no tips are needed):
NOTE: This exercise does not use the weighted cases method. Use the data file “as is.”
 Do a, b, c, d, and e. For letter “e,” this question is asking specifically about effect size. (2 pts for output and 2 pts each for a–e)
  (2 pts)
 All homework “Results sections” must follow the example given in the Course Content document “Writing Results of Statistical Tests in Current APA Format” (Note: you do not have to refer to a figure). (2 pts)
Part 2:
 An industrial/organizational psychologist is interested in whether people in different professions prefer different operating systems on their computers. After doing some preliminary research, she chooses three different professions and the three main operating systems available. She interviews 20 people from each profession and asks them to choose their preferred operating system. The results are listed below. Perform a chi square test of independence (using an SPSS twoway contingency table analysis) to determine whether the proportions of operating system preferences differ across the professions. Use the weighted cases method.
The steps will be the same as the ones you have been practicing in Part 1 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.

Microsoft: Windows® 
Apple: Mac® 
Linux: Ubuntu® 
TOTAL 
Systems Engineers

3 
5 
12 
20 
Musicians

5 
11 
4 
20 
Attorneys

9 
8 
3 
20 
TOTAL

17 
24 
19 
60 
 SPSS output (2)
 Create a clustered bar graph depicting your results. (2)
 Write a current APAstyle 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 APA Format” (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis. (2)
Part 3: Cumulative Homework
 An admissions counselor wants to find out if TOEFL® scores are predictive of college GPA for international students at a local university. The TOEFL is the Test of English as a Foreign Language, which the school requires for admission, and students can score from 0–120, with 120 being a perfect score. The data from the latest freshmen class are in the table below. Is the TOEFL score predictive of college GPA? Choose the correct test to analyze this question, set up the SPSS file, and run the analysis. Follow the directions under the table below.
TOEFL® Score 
College GPA 
95 80 110 72 93 101 76 89 83 68 113 74 
3.4 2.7 3.5 3.1 3.0 3.6 2.8 2.9 3.1 2.4 3.6 2.5 
 Paste appropriate SPSS output. (2)
 Paste appropriate SPSS graph. (2)
 Write a current APAstyle 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 APA Format” (note: you do not have to refer to a figure). Remember to include a decision about the null hypothesis.
[Solved] PSYC 355 SPSS Homework 7 CHI SQUARE  Complete Solution
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 Submitted On 05 May, 2015 01:18:03
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 Rating : 24
 Grade : A+
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 Solutions : 287
 Blog : 1
 Earned : $9839.90