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 H0 = 34. Use a one-sample t-test. How
would you report the results?
a. t = -1.862, df = 399, p >
.05
b. t = -1.862, df = 399, p <
.05
c. t = 1.645, df = 399, p >
.05
d. t = 1.645, df = 399, p <
.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%.
Participant income is significantly greater than the national average