In: Economics
This Data comes from the 2012 American Community Survey. PA workers, ages 18-40. Below the Table, You need to compute the Mean and Standard Devidation of each column. Use the =average() and =stdev() functions in Excel to do so.
There are 2 types of Variables here. Dummy variables answer a Yes/No Question, with 1 meaning 'yes'. For example, a 1 for Female suggests the person if female. The Mean of a Dummy Variable gives the Prevalence of that Characteristic: the proportion of the sample with the Characteristic. Age and Wage variable are continuous, meaning they have a large range.
| Person+A7:O60 | Has Only a High School Degee | Female | Age | White | Black | Married | Employed | OLF | UE | Parttime | In Poverty | Has Disability | Annual Wage | Hourly Wage |
| Person 1 | 0 | 0 | 26 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 30000 | 15.0 |
| Person 2 | 1 | 1 | 21 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 10300 | 5.2 |
| Person 3 | 0 | 1 | 18 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | ||
| Person 4 | 0 | 1 | 27 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | ||||
| Person 5 | 1 | 0 | 31 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 50000 | 37.9 |
| Person 6 | 0 | 1 | 20 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 5600 | 8.5 |
| Person 7 | 0 | 1 | 34 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 30000 | 17.2 |
| Person 8 | 1 | 1 | 35 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 11000 | 6.1 |
| Person 9 | 0 | 0 | 38 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 81000 | 46.3 |
| Person 10 | 0 | 0 | 27 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 46500 | 23.3 |
| Person 11 | 0 | 1 | 28 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | ||||
| Person 12 | 0 | 1 | 37 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | ||||
| Person 13 | 1 | 1 | 21 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12000 | 16.0 |
| Person 14 | 0 | 0 | 35 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 12000 | 8.0 |
| Person 15 | 1 | 1 | 20 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12000 | 8.0 |
| Person 16 | 0 | 1 | 19 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | ||||
| Person 17 | 0 | 1 | 27 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10000 | 37.9 |
| Person 18 | 0 | 1 | 26 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 20100 | 10.1 |
| Person 19 | 0 | 1 | 38 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 43200 | 26.2 |
| Person 20 | 0 | 0 | 37 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 35100 | 17.6 |
| Person 21 | 0 | 0 | 28 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 25000 | 12.5 |
| Person 22 | 1 | 0 | 33 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 35000 | 14.0 |
| Person 23 | 0 | 0 | 39 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 55000 | |
| Person 24 | 1 | 0 | 33 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 64000 | 28.4 |
| Person 25 | 0 | 1 | 35 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 39800 | 19.9 |
| Person 26 | 0 | 1 | 40 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 35000 | 43.8 |
| Person 27 | 0 | 1 | 36 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 15700 | 9.0 |
| Person 28 | 0 | 1 | 32 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 31200 | 13.9 |
| Person 29 | 0 | 1 | 31 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 48000 | 25.9 |
| Person 30 | 0 | 1 | 38 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | ||||
| Person 31 | 0 | 0 | 25 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | ||
| Person 32 | 0 | 0 | 35 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 66000 | 33.0 |
| Person 33 | 0 | 0 | 25 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | ||||
| Person 34 | 0 | 1 | 27 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 33800 | 16.9 |
| Person 35 | 0 | 0 | 20 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 13000 | 6.5 |
| Person 36 | 0 | 0 | 27 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 40000 | 14.5 |
| Person 37 | 0 | 0 | 26 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 28000 | 14.0 |
| Person 38 | 0 | 0 | 36 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 4200 | 4.0 |
| Person 39 | 0 | 1 | 34 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 40000 | 21.1 |
| Person 40 | 1 | 0 | 40 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 40000 | 30.3 |
| Person 41 | 1 | 0 | 31 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 40000 | 30.3 |
| Person 42 | 1 | 1 | 29 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | ||
| Person 43 | 0 | 0 | 39 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 93000 | 37.2 |
| Person 44 | 0 | 0 | 26 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | ||||
| Person 45 | 1 | 0 | 24 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 35000 | 17.5 |
| Person 46 | 1 | 1 | 40 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 25700 | 22.3 |
| Person 47 | 0 | 0 | 32 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 59000 | 23.6 |
| Person 48 | 0 | 0 | 35 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 15000 | |
| Person 49 | 1 | 0 | 26 | 1 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 18000 | |
| Person 50 | 1 | 1 | 30 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | ||
| Mean of Sample (2 decimal places): | 0.28 | |||||||||||||
| Standard Deviation of Sample (2 dec places): | 0.45 |
| Table 2: Answers to Problem 2 | |
| 1) What percent of the sample is female? | 0% |
| 2) What percent is black? | 0% |
| 3) What is the UE rate for the sample? | 0% |
| 4) What is the E rate of the sample? | 0% |
| 5) What is the average hourly wage of workers? | $0 |
| 6) What is the poverty rate? | 0% |
| 7) What is the disability prevalence? | 0% |
| 8) Why are some missing a wage? | |
| 9) Why are some missing UE information? | |
| 10) What is the average age of the sample? |