Frequencies for categorical variables 1. Refer to course file SPSS.pptx for instructions on how to d

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Frequencies for categorical variables

 

1.       Refer to course file SPSS.pptx for instructions on how to do “Frequencies” in SPSS

2.       Run frequencies on the following variables.

a.       Region of the United States

b.      Respondent’s Sex

c.       Race of Respondent

d.      Occupational Category

                                                               i.      Answer these questions (enter answers in assignment online via Canvas)

4.       What is the total number of participants?

a.       1550

b.      1515

c.       1517

d.      1418

5.       How many respondents work in “Farming, Forest, and Fishing”?

a.       456

b.      204

c.       36

d.      220

6.       What percent live in the North East region of the US?

a.       679

b.      44.8

c.       27.9

d.      27.4

7.       How many respondents are female?

a.       636

b.      42

c.       881

d.      58

8.       What percent of respondents selected “Other” race?

a.       13.4

b.      3.2

c.       49

d.      100

9.       Save the output from your frequencies and upload it to the frequencies section of the assignment in Canvas.

 

 

Explore for continuous variables

 

1.       Refer to course file SPSS.pptx for instructions on how to do “Explore” in SPSS

2.       Run “Explore” for the following variables. Run each variable separately.

a.       Age of Respondent

b.      Highest Year of School Completed

c.       Number of Brothers and Sisters

                                                   i.      Answer these questions (enter answers in assignment online via Canvas)

2.    

3.    

4.    

5.    

6.    

7.    

8.    

9.    

10.    

a.    

b.    

c.    

                                                                        i.    

10.   How many respondents are missing information on “number of brothers and sisters?

a.       0.8

b.      1505

c.       12

d.      1517

11.   What is the mean age of respondents?

a.       41.00

b.      45.52

c.       44.97

d.      45.63

12.   What is the maximum number of years of education completed?

a.       12

b.      16

c.       18

d.      20

13.   Save the output of your output for the Explore for Continuous Variables and upload it to the Explore for Continuous Variables section of the assignment in Canvas.

 

T-Tests

 

1.       Refer to course file SPSS.pptx for instructions on how to do “T-tests” in SPSS

2.       Run T-tests on the following variables

a.       Sex and Age

b.      RegionNortheast and Highest Year of School Completed

c.       RegionSoutheast and Highest Year of School Completed

d.      RegionNortheast and R’s Occupational Prestige Score

e.      RegionSoutheast and R’s Occupational Prestige Score

                                                               i.      Answer these questions (enter answers in assignment online via Canvas)

14.   Is there a statistically significant difference in highest year of school completed for respondents living in the northeast compared to respondents not living in the northeast?

a.       Yes

b.      No

15.   Is there a statistically significant difference in occupational prestige scores for respondents living in the northeast compared to respondents not living in the northeast?

a.       Yes

b.      No

16.   Is there a statistically significant difference in highest year of school completed for respondents living in the southeast compared to respondents not living in the southeast?

a.       Yes

b.      No

17.   Is there a statistically significant difference in occupational prestige scores for respondents living in the southeast compared to respondents not living in the southeast?

a.       Yes

b.      No

18.   Save the output from your t-test analysis and upload it to the t-test section of the assignment in Canvas.

 

ANOVA

 

1.       Refer to course file SPSS.pptx for instructions on how to do “ANOVA” in SPSS

2.       Run ANOVA on the following variables

a.       Occupational Category and Age

b.      Region of the United States and Highest Year of School Completed

                                                   i.      Answer these questions (enter answers in assignment online via Canvas)

2.    

3.    

4.    

5.    

6.    

7.    

8.    

9.    

10.    

11.    

12.    

13.    

14.    

15.    

16.    

17.    

18.    

19.    

a.    

b.    

                                                                        i.    

19.   What is the null hypothesis being tested when running an ANOVA between occupational category and age?

20.   What is the alternative hypothesis when running an ANOVA between occupational category and age?

21.   What can you conclude about occupational category and age?

a.       Reject the null

b.      Fail to reject the null

c.       Accept the null

22.   What is the null hypothesis being tested when running an ANOVA between region of the US and highest year of school completed?

23.   What is the alternative hypothesis when running an ANOVA between region of the US and highest year of school completed?

24.   What can you conclude about region of US and highest year of school completed?

d.      Reject the null

e.      Fail to reject the null

f.        Accept the null

25.   Which regions differ significantly from one another in term of highest year of school completed?

g.       Northeast and West

h.      Southeast and West

i.         All of the above

j.        None of the above

26.   Save the output from your ANOVA analysis and upload it to the ANOVA section of the assignment in Canvas.

 

 

Chi-Square

 

1.       Refer to course file SPSS.pptx for instructions on how to do “Chi-Square” in SPSS

2.       Run Chi-Square on the following variables

a.       RegionWest and RaceWhite

                                                   i.      Answer the following questions (enter answers in assignment online via Canvas)

27.   What percent of people with white race live in the west?

a.       29.7

b.      70.3

c.       81.0

d.      19.0

28.   In this dataset, is there a statistically significant difference in the number of white people living in the west compared to the number of white people living elsewhere?

a.       Yes

b.      No

29.   Save the output from your Chi-Square analysis and upload it to the Chi-Square section of the assignment in Canvas.

 

 

Correlations

 

1.       Refer to course file SPSS.pptx for instructions on how to do “Correlations” in SPSS

2.       Run Correlations on the following variables

a.       Highest Year of School Completed and Occupational Prestige Score

b.      Father Highest Year of School Completed and Mother Highest Year of School Completed

c.       Age of Respondent and R’s Occupational Prestige Score

                                                               i.      Answer the following questions (enter answers in assignment online via Canvas)

30.   What is the correlation between highest year of school completed and occupational prestige score?

                a. 52

b. 0.52

c. 5.2

d. 5

31.   What is the magnitude of the correlation between highest year of school completed and occupational prestige score?

                a. weak

                b. moderate

                c. strong

                d. no correlation

32.   Which of the following is true regarding the correlation between Father Highest Year of School Completed and Mother Highest Year of School Completed?

                a. positive and statistically significant

                b. negative and statistically significant

                c. positive and not statistically significant

                d. negative and not statistically significant

33.   Is the correlation between Age of Respondent and R’s Occupational Prestige Score statistically significant?

                a. yes

                b. no

34.   Save the output from your correlation analysis and upload it to the correlation section of the assignment in Canvas.

 

 

Design and Implement Your Own Research

 

You now have a basic understanding of this dataset, types of variables and commonly used statistical tests.  Using this dataset, design a research question, state null and an alternative hypothesis, then test that hypothesis by performing the appropriate statistical test and report the results. Enter your responses to these questions in the assignment online via Canvas.

 

35. State your research question (using the variables in the provided dataset)

 

36. List the name of variable #1 and state what type of variable it is.

 

37. List the name of variable #2 and state what type of variable it is.

               

38. State your null hypothesis

 

39. State your alternative hypothesis

 

40. What statistical test did you use to analyze your data/variables?

 

41. What are the results from your statistical test?

 

42. Based on the results of your statistical test, what are your conclusions?

 

 

43. Save the output from your correlation analysis and upload it to the correlation section of the assignment in Canvas.

    • Posted: 4 years ago
    • Due: 23/11/2015
    • Budget: $30
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