In: Statistics and Probability
| Question 4: Using the compensation data, categorize the data into 13 categories, | ||||||
| beginning with $400,000 < x < $800,000, $800,000 < x < $1,200,000, etc. (6 pts.) | ||||||
| CEO Total Comp | Frequency | |||||
| 400,000 | ||||||
| 800,000 | ||||||
| 1,200,000 | ||||||
| 1,600,000 | ||||||
| 2,000,000 | ||||||
| 2,400,000 | ||||||
| 2,800,000 | ||||||
| 3,200,000 | ||||||
| 3,600,000 | ||||||
| 4,000,000 | ||||||
| 4,400,000 | ||||||
| 4,800,000 | ||||||
| 5,200,000 | ||||||
I cannot provide the DATA because it dont let me post the question otherwise you can use any data just show me the way to do it
make a new column for bins
| bins |
| 400000 |
| 800000 |
| 1200000 |
| 1600000 |
| 2000000 |
| 2400000 |
| 2800000 |
| 3200000 |
| 3600000 |
| 4000000 |
| 4400000 |
| 4800000 |
| 5200000 |
suppose data in in column A
go to data -. data analysis -> histogram

This will create
| bins | Frequency |
| 400000 | 5 |
| 800000 | 12 |
| 1200000 | 9 |
| 1600000 | 5 |
| 2000000 | 8 |
| 2400000 | 6 |
| 2800000 | 7 |
| 3200000 | 7 |
| 3600000 | 11 |
| 4000000 | 2 |
| 4400000 | 8 |
| 4800000 | 10 |
| 5200000 | 10 |
| More | 0 |
Note that I have 100 data points
hence the sum of frequency is 100