You will manipulate and analyze data using Excel or SPSS. You will copy charts, graphs, tables, from Excel or SPSS into a Word document. Write a report on your findings in
Questions available in the data file.
Problem Guide:
- You will manipulate and analyze data using Excel or SPSS.
- You will copy charts, graphs, tables, from Excel or SPSS into a Word document.
- Write a report on your findings in the Word document referencing the charts, graphs, and tables from Excel or SPSS.
The original questions must be typed out as headings, with follow up answers + charts, graphs, and tables in paragraph format, and a summary or conclusion at the end of the paper. Problems have no references limit and must be in APA format.
Hrs by Gender
Gender | Average of Usual Hours Worked |
Female | 40.6346153846 |
Male | 43.2575677111 |
Grand Total | 42.1863022306 |
Hrs by Gndr State
Average of Usual Hours Worked | Column Labels | ||||||
Gender | Alabama | Florida | Georgia | North Carolina | South Carolina | Tennessee | Grand Total |
Female | 41.6046511628 | 40.5057603687 | 40.250764526 | 40.5608465608 | 42.5 | 41.235059761 | 40.6346153846 |
Male | 43.1294117647 | 42.6602348993 | 43.015037594 | 43.8492407809 | 45 | 44.3984168865 | 43.2575677111 |
Grand Total | 42.4715719064 | 41.7524271845 | 41.8744479495 | 42.5970449966 | 43.75 | 43.1380952381 | 42.1863022306 |
Data
Usual Hours Worked | Education (yrs) | Yearly Earnings | Race | Gender | Usual Weekly Earnings | State | Month in Sample | A_RACE | Gender | TotalWages |
40 | 13 | 44000 | White | Male | 858 | Georgia | 8 | 1 | 1 | 44000 |
35 | 12 | 12000 | White | Female | . | Georgia | 3 | 1 | 2 | 12000 |
70 | 11 | 54000 | White | Male | . | Georgia | 3 | 1 | 1 | 54000 |
40 | 16 | 48200 | White | Male | . | Georgia | 7 | 1 | 1 | 48200 |
38 | 12 | 24000 | White | Male | . | Georgia | 2 | 1 | 1 | 24000 |
60 | 18 | 62000 | White | Female | . | Georgia | 5 | 1 | 2 | 62000 |
40 | 13 | 17000 | White | Female | . | Georgia | 5 | 1 | 2 | 17000 |
50 | 8 | 25000 | Black | Male | . | Georgia | 5 | 2 | 1 | 25000 |
40 | 11 | 10000 | Black | Male | . | Georgia | 5 | 2 | 1 | 10000 |
50 | 16 | 65000 | White | Male | . | Georgia | 7 | 1 | 1 | 65000 |
45 | 12 | 30000 | White | Male | . | Georgia | 2 | 1 | 1 | 30000 |
50 | 16 | 306731 | White | Male | . | Georgia | 1 | 1 | 1 | 306731 |
50 | 11 | 37000 | White | Male | 643 | Georgia | 4 | 1 | 1 | 37000 |
40 | 12 | 34000 | White | Male | 600 | Georgia | 4 | 1 | 1 | 34000 |
40 | 13 | 25000 | White | Male | 520 | Georgia | 4 | 1 | 1 | 25000 |
40 | 12 | 42000 | White | Male | 680 | Georgia | 8 | 1 | 1 | 42000 |
40 | 16 | 68000 | White | Male | . | Georgia | 6 | 1 | 1 | 68000 |
50 | 13 | 70000 | White | Male | . | Georgia | 6 | 1 | 1 | 70000 |
40 | 12 | 25000 | White | Female | . | Georgia | 7 | 1 | 2 | 25000 |
35 | 13 | 15400 | White | Female | . | Georgia | 7 | 1 | 2 | 15400 |
40 | 13 | 56426 | White | Male | . | Georgia | 7 | 1 | 1 | 56426 |
40 | 12 | 21087 | White | Male | . | Georgia | 7 | 1 | 1 | 21087 |
40 | 13 | 50000 | White | Male | . | Georgia | 7 | 1 | 1 | 50000 |
49 | 12 | 11500 | Black | Female | 173 | Georgia | 4 | 2 | 2 | 11500 |
60 | 12 | 40000 | White | Male | . | Georgia | 5 | 1 | 1 | 40000 |
60 | 18 | 70000 | White | Female | . | Georgia | 1 | 1 | 2 | 70000 |
45 | 18 | 62000 | White | Male | . | Georgia | 1 | 1 | 1 | 62000 |
40 | 12 | 30000 | White | Male | . | Georgia | 1 | 1 | 1 | 30000 |
40 | 16 | 20000 | Black | Female | . | Georgia | 6 | 2 | 2 | 20000 |
72 | 12 | 17360 | White | Female | 224 | Georgia | 8 | 1 | 2 | 17360 |
50 | 12 | 32000 | White | Male | . | Georgia | 7 | 1 | 1 | 32000 |
60 | 16 | 60000 | White | Male | . | Georgia | 2 | 1 | 1 | 60000 |
40 | 11 | 9500 | White | Female | . | Georgia | 6 | 1 | 2 | 9500 |
40 | 11 | 9000 | White | Male | . | Georgia | 6 | 1 | 1 | 9000 |
40 | 12 | 0 | White | Male | . | Georgia | 6 | 1 | 1 | 0 |
60 | 11.5 | 38000 | White | Male | . | Georgia | 1 | 1 | 1 | 38000 |
52 | 11 | 45000 | White | Female | . | Georgia | 1 | 1 | 2 | 45000 |
45 | 12 | 16000 | White | Male | . | Georgia | 1 | 1 | 1 | 16000 |
40 | 12 | 30000 | White | Male | . | Georgia | 2 | 1 | 1 | 30000 |
40 | 18 | 29530 | White | Female | . | Georgia | 2 | 1 | 2 | 29530 |
38 | 12 | 8274 | White | Male | . | Georgia | 2 | 1 | 1 | 8274 |
40 | 12 | 11200 | White | Female | . | Georgia | 1 | 1 | 2 | 11200 |
45 | 12 | 21000 | White | Male | . | Georgia | 1 | 1 | 1 | 21000 |
45 | 12 | 24500 | White | Male | . | Georgia | 7 | 1 | 1 | 24500 |
40 | 16 | 30000 | White | Female | . | Georgia | 3 | 1 | 2 | 30000 |
40 | 12 | 30000 | White | Female | 522 | Georgia | 4 | 1 | 2 | 30000 |
40 | 16 | 36400 | White | Male | 765 | Georgia | 4 | 1 | 1 | 36400 |
50 | 16 | 29000 | White | Female | 635 | Georgia | 4 | 1 | 2 | 29000 |
45 | 13 | 18000 | White | Female | . | Georgia | 1 | 1 | 2 | 18000 |
40 | 12 | 65000 | White | Male | . | Georgia | 1 | 1 | 1 | 65000 |
40 | 12 | 15000 | White | Female | . | Georgia | 1 | 1 | 2 | 15000 |
40 | 12 | 30000 | White | Male | . | Georgia | 1 | 1 | 1 | 30000 |
40 | 13 | 72000 | White | Male | . | Georgia | 6 | 1 | 1 | 72000 |
40 | 12 | 42000 | White | Female | . | Georgia | 6 | 1 | 2 | 42000 |
40 | 16 | 144499 | White | Male | . | Georgia | 7 | 1 | 1 | 144499 |
40 | 13 | 30000 | White | Male | 480 | Georgia | 8 | 1 | 1 | 30000 |
40 | 12 | 35000 | White | Male | 1280 | Georgia | 8 | 1 | 1 | 35000 |
35 | 10 | 35000 | White | Male | . | Georgia | 8 | 1 | 1 | 35000 |
40 | 12 | 11000 | White | Male | . | Georgia | 1 | 1 | 1 | 11000 |
35 | 11 | 8000 | White | Female | . | Georgia | 1 | 1 | 2 | 8000 |
40 | 16 | 25000 | White | Male | 625 | Georgia | 8 | 1 | 1 | 25000 |
40 | 16 | 12340 | White | Female | 237 | Georgia | 8 | 1 | 2 | 12340 |
48 | 12 | 29
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