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I'm having trouble with starting my statistics final project. I'm wondering if I could get some help on where to just start plugging these variables
I'm having trouble with starting my statistics final project. I'm wondering if I could get some help on where to just start plugging these variables in?
This project provides an integrated, realistic exercise in selecting appropriate statistics for (a) answering
research questions, (b) running the statistical analyses in SPSS, and (c) interpreting and reporting the
results of the analyses.
The files are already include on the content page of the course Blackboard site. For a description of the variables in the data file, see the Codebook is part of this handout. Rather than waiting until the correlation and chi square topics have been covered, I recommend beginning now to do the following steps for the statistics that we have already covered:
1. Select stats. Read the research questions below, and determine which statistic will appropriately
answer each question.
2. SPSS analyses. Using your Cronk and Gravetter/Wallnau textbooks as guides, perform the
appropriate statistical analysis using SPSS, print the Output page, and pick out the necessary results.
3. Write results. Write complete description of your results using the formats described in your
textbooks and practiced in class. Cronk can be helpful, but the ultimate format should be based on
Gravetter/Wallnau. Be sure to answer all parts of the research questions below.
The Research Questions
The Director of a Labor Economics consulting firm is hired to determine where what part of the country that small businesses should locate. However, none of the clients has any background in statistics. In
order to analyze the data (and get their questions answered), they have hired you as a statistical consultant
to answer these questions:
1. a. What is the strength of the relationship between annual wages and years of education? Specifically, as the level of education rises, do people make more? (Hint: use Pearson r correlation)
b. What is the annual wage of an individual with 17 years of education? (Hint: use Linear Regression)
2. a. annual wages differ by occupation? (Hint: use one-way, ANOVA Cronk Section 6.5)
b. If so, which occupational class is associated with the lowest annual wages? (Hint: use Scheffe Analysis)
3. Are the years of education in our sample of wage earners different from the national average of 13.05 years? (Hint: use One or single sample t-Test)
4. Do men and women differ in their choice of occupation? Do the salaries or wages of women differ significantly from the wages or salaries of men? (Hint: use Independent measures t-test Cronk Section 6.3)
5. Does union membership or non-membership relate to the type of industry? (Hint: use Two-way Chi Square (via crosstabs))
6. Is there a difference in wages between southern residents and non-southern residents? (Hint: use one-way ANOVA Cronk Section 6.5)
7. Do more years of work experience increase annual wages? (Hint: use Linear Regression)
For the question, "Do men earn more than women?" one way to write the report would be the
An independent samples t test comparing the mean number of blackouts reported by men (M = $21,500, SD = $1,525) and by girls (M = $20,600, SD = $1,475) was not significant, t(99) = .15, p > .05. Women and men's incomes are not significantly different."
X1 = Annual wages in dollars
X2= Industry (1 = manufacturing, 2 = construction, 0 = other)
X3 = Occupation (1 = management, 2 = sales, 3 = clerical, 4 = service, 5 = professional, 0 = other)
X4= Years of education
X5 = Southern resident (1 = yes, 0 = no)
X6 = Nonwhite (1 = yes, 0= no)
X7 = Hispanic (1 = yes, 0= no)
X8 = Female (1 = yes, 0= no)
X9 = Years of Work Experience
X10 = Married (1 = yes, 0= no)
X11 = Age in years
X12 = Union member (1 = yes, 0= no)
Number of observations (n) = 100