SPSS Homework Variability Template-SGL

PSYC 354 SPSS H OMEWORK : V ARIABILITY T EMPLATE - S TACEY L AIDLEY Problem Set 1: The following data are based on numbers taken from the Bureau of Labor Statistics surveys from the year 2019 (located as a resource on the assignment page in Canvas) for community, service, social science, and education occupations. They represent the average weekly pay for wage and salary earners measured during 2019 and broken down by gender. Enter these data into a new file containing one grouping variable for gender and one variable for salary. For the Gender variable in column 1, code women as 1 and men as 2 Remember to define these in Value Labels as covered in the presentations. There will be thirteen “1”s and thirteen “2”s (as many participants as in each group) in the Gender column in SPSS. The corresponding earnings will be entered in the Salary column in SPSS. Remember to put your initials within any and all variable names. 1 Women 2 Men 1212 1042 1095 942 579 1015 944 890 896 556 741 664 554 1870 1161 1262 1190 707 1423 1108 1155 501 1694 953 890 671 1. Using the data in the table above, set up your data file in SPSS and create one table of Descriptive Statistics using the “Explore” function that shows descriptives for salary split by group (Women and Men separately). Paste the table here: (8 pts) Page 1 of 7

PSYC 354 Descriptives Gender_SGL Statistic Std. Error Salary_SGL Wome n Mean 856.1538 60.428 58 95% Confidence Interval for Mean Lower Bound 724.4913 Upper Bound 987.8164 5% Trimmed Mean 853.1709 Median 896.0000 Variance 47470.97 4 Std. Deviation 217.8783 5 Minimum 554.00 Maximum 1212.00 Range 658.00 Interquartile Range 407.00 Skewness -.133 .616 Kurtosis -1.166 1.191 Men Mean 1121.923 1 108.83 918 95% Confidence Interval for Mean Lower Bound 884.7829 Upper Bound 1359.063 3 5% Trimmed Mean 1114.859 0 Median 1155.000 0 Variance 153997.5 77 Std. Deviation 392.4252 5 Minimum 501.00 Maximum 1870.00 Page 2 of 7