Posted: Mon Jan 12. Due: Thu 1/29.
Solve Exercise 2.9.14: in the textbook. The problem asks to:
Solve Exercise 2.9.28. The problem asks to:
(Note that problem 2.9.30 has an online solution for you to see, if you are stuck and need some ideas.)
Solve Exercise 2.9.39. The problem asks to:
Solve Exercise 2.9.44. The problem asks to compare two boxplots from added data.
This problem is about visualization of distributions & interpretation of histograms.
In the workplace, depression is a leading cause of absenteeism and loss of productivity (Greenberg, et al. 1993). To assess the degree to which people suffer from depression, prior to receiving treatment, data were collected on the number of days that 105 patients were depressed prior to starting a new treatment. These data are displayed in the following table and histogram:
| Days | Count |
|---|---|
| [20–60] | 5 |
| [60–100] | 10 |
| [100–140] | 20 |
| [140–180] | 30 |
| [180–220] | 16 |
| [220–260] | 10 |
| [260–300] | 6 |
| [300–340] | 4 |
| [340–380] | 2 |
| [380–420] | 0 |
| [420–460] | 0 |
| [460–500] | 0 |
| [500–540] | 2 |
Using this same histogram of 105 patients, which of the following is most likely to be true? Explain your answer.
Using this same histogram of 105 patients, what percentage of patients had 220 or more days of depression? Explain your answer.