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Use your alpha level cutoff for statistical significance

Use SPSS and the data file found in syllabus resources (DATA540.SAV) to answer the following questions.  Round your answers to the nearest dollar, percentage point, or whole number.  
 
#4.  Test the age of the participants (AGE1) against the null hypothesis H= 34.  Use a one-sample t-test.  How would you report the results? 
 
a.         = -1.862, df = 399, > .05  
b.         = -1.862, df = 399, < .05  
c.         = 1.645, df = 399, > .05  
d.         = 1.645, df = 399, <  .05 

#5.  What is the mean and standard deviation for the Lifestyle score (L)? 
 
a.  31.22, 7.99  
b.  36.19, 8.54  
c.  30.03, 7.28  
d.  55, 13

#6.  The first case shown in the data file is a firefighter with a financial Risk-Taking score (R) of 38.  What is his Risk-Taking z-score (hint: you will need to find the Risk-Taking mean and standard deviation)?
  
a.  0.179  
b.  -0.223  
c.  1.342  
d.  -1.223
 
#7.  Perform independent sample t-tests on the Lifestyle, Dependency, and Risk-Taking scores (L, D, and R) comparing men and women (GENDER1).  Use p < .05 as your alpha level and apply a two-tailed test.  On each of the three scales, do men or women have a significantly higher score? 
 
a. Lifestyle: Men, Dependency: Women, Risk-Taking: Men. 
b. Lifestyle: Not significantly different, Dependency: Women, Risk-Taking: Men  
c. Lifestyle: Women, Dependency: Women, Risk-Taking: Men  
d. Lifestyle: Men, Dependency: Men, Risk-Taking: Not significantly different
 
#8. The median US salary is $50,700, according to US Census data. Using a one-sample t-test, test to see if participant income (INC1) is different from the national average. Use a two-tailed test and an alpha level of 5%.

  1. Participant income is significantly greater than the national average

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