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