SPSS Homework Variability Female Male

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PSYC 354 SPSS H OMEWORK : V ARIABILITY T EMPLATE 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) Case Processing Summary Gender Cases Valid Missing Total N Percent N Percent N Percent Salary_VB G Female 13 100.0% 0 0.0% 13 100.0% Male 13 100.0% 0 0.0% 13 100.0% Descriptives Page 1 of 10
PSYC 354 Gender Statistic Std. Error Salary_VB G Female Mean 856.15 60.429 95% Confidence Interval for Mean Lower Bound 724.49 Upper Bound 987.82 5% Trimmed Mean 853.17 Median 896.00 Variance 47470.974 Std. Deviation 217.878 Minimum 554 Maximum 1212 Range 658 Interquartile Range 407 Skewness -.133 .616 Kurtosis -1.166 1.191 Male Mean 1121.92 108.839 95% Confidence Interval for Mean Lower Bound 884.78 Upper Bound 1359.06 5% Trimmed Mean 1114.86 Median 1155.00 Variance 153997.577 Std. Deviation 392.425 Minimum 501 Maximum 1870 Range 1369 Interquartile Range 544 Skewness .353 .616 Kurtosis -.135 1.191 2. What are the mean and standard deviation of salaries for women? (5 pts) Mean= 856.15 Standard Deviation= 217.878 3. Find the values for skewness in the table. What kind of skew is present for each group? (5 pts) 1= -.133 (Negatively Skewed) 2= .353 (Positively Skewed) Page 2 of 10
PSYC 354 4. Using the same data, create a boxplot in SPSS to show the difference in salaries between women and men. Paste the boxplot here: (6 pts) 5. Based on the boxplot and descriptive statistics, which group shows more variability in salary? Support your answer with knowledge from the presentations and/or reading from this week. (6 pts) A boxplot displays the range of data between the 25th and 75th percentiles (interquartile range or IQR). The middle 50% of data is represented within this range. The whiskers extend to the highest and lowest values within 1.5 times the IQR. A more extended box and whiskers indicate more significant variability in the data. Problem Set 2: A school psychologist wants to examine the difference in the minutes that middle school students spend working on a difficult math problem depending on whether they have been primed with a statement reflecting a fixed mindset or one reflecting a growth mindset. She divides her students into two groups: one is primed with the statement that “Some people are just better at math” (fixed mindset), while the other group is primed with the statement that “People can improve in math with hard work” (growth mindset) She records the number of minutes each student works on the math problem in the table below. She assigns values to the Mindset Group variable as follows: 1 = Fixed; 2 = Growth. Remember to put your initials within any and all variable names. Mindset Group (1 = Fixed; 2 = Growth) Minutes Spent on Difficult Math Problem 1 1 1 1.5 1.2 1.9 Page 3 of 10
PSYC 354 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 1.8 0.6 1.4 3.7 0.9 0.7 2.1 2.8 1.8 1.3 2.4 4.6 3.5 2.2 1.4 3.3 1. Using the data in the table above, set up a data file in SPSS and create one table of descriptive statistics using the “Explore” command that is split by “Mindset” group. Paste the table here: (8 pts) Case Processing Summary Mindset_V BG Cases Valid Missing Total N Percent N Percent N Percent Mindset_Spent_ VBG 1.00 9 100.0% 0 0.0% 9 100.0% 2.00 10 100.0% 0 0.0% 10 100.0% Descriptives Mindset_VBG Statistic Std. Error Mindset_Spent_V BG 1.00 Mean 1.5222 .31171 95% Confidence Interval for Mean Lower Bound .8034 Upper Bound 2.2410 5% Trimmed Mean 1.4525 Median 1.4000 Variance .874 Std. Deviation .93512 Minimum .60 Page 4 of 10
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