In: Statistics and Probability
, apply the t-test to assess the following statement: "Men and women have different incomes in this city." Show your calculations and copy of the SPSS output in a Word document. In a separate 250-500 Word document, address the following questions: Describe what t-test is the most appropriate and explain why. Discuss whether you used a one-tailed or two-tailed test and explain why. Using SPSS, calculate the t-test and provide the test statistic and critical value assuming an alpha of .05. Calculate the effect size using r2. Interpret the results by (a) stating the reason the study or test was done, (b) presenting the main results, (c) explaining what the results mean, and (d) making suggestions for future research
Annual_Income* |
51000 |
23000 |
35000 |
10000 |
28000 |
5000 |
46000 |
36000 |
51000 |
12000 |
78000 |
34000 |
15000 |
28000 |
28000 |
24000 |
55000 |
62000 |
32000 |
7000 |
17000 |
64000 |
5000 |
14000 |
20000 |
72000 |
85000 |
15000 |
64000 |
27000 |
Sex |
Female |
Male |
Female |
Male |
Female |
Female |
Female |
Male |
Female |
Male |
Female |
Male |
Female |
Male |
Male |
Male |
Female |
Male |
Male |
Female |
Female |
Female |
Male |
Male |
Female |
Male |
Female |
Female |
Male |
Male |
.
The hypothesis being tested is:
H0: µ1 = µ2
H1: µ1 ≠ µ2
This is a t-test for independent samples because we do not know the population standard deviation and the groups are independent of each other.
The SPSS output is:
The test statistic is 0.801.
The p-value is 0.430.
The critical value is 2.05.
Since the p-value (0.430) is greater than the significance level (0.05), we cannot reject the null hypothesis.
Therefore, we cannot conclude that men and women have different incomes in this city.
The effect size using r2 = 0.8012/0.8012 + 28 = 0.022
This is small effect.
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