Source files: [https://github.com/djlofland/DATA606_F2019/tree/master/Homework2]

**Stats scores**. (2.33, p.Â 78) Below are the final exam scores of twenty introductory statistics students.

57, 66, 69, 71, 72, 73, 74, 77, 78, 78, 79, 79, 81, 81, 82, 83, 83, 88, 89, 94

Create a box plot of the distribution of these scores. The five number summary provided below may be useful.

```
scores <- c(57, 66, 69, 71, 72, 73, 74, 77, 78, 78, 79, 79, 81, 81, 82, 83, 83, 88, 89, 94)
boxplot(scores, ylab='Stats Scores', main="Box plot of Stats Scores")
```

**Mix-and-match**. (2.10, p.Â 57) Describe the distribution in the histograms below and match them to the box plots.

a: Normal, b: Uniform and c: Right Skewed

a => 2, b => 3 and c => 1

**Distributions and appropriate statistics, Part II**. (2.16, p.Â 59) For each of the following, state whether you expect the distribution to be symmetric, right skewed, or left skewed. Also specify whether the mean or median would best represent a typical observation in the data, and whether the variability of observations would be best represented using the standard deviation or IQR. Explain your reasoning.

- Housing prices in a country where 25% of the houses cost below $350,000, 50% of the houses cost below $450,000, 75% of the houses cost below $1,000,000 and there are a meaningful number of houses that cost more than $6,000,000.

Right Skewed- The majority of the pric distribution is on the left with a longtail of high prices to the right. UsemedianandIQRto reduce the influence of the high priced homes.

- Housing prices in a country where 25% of the houses cost below $300,000, 50% of the houses cost below $600,000, 75% of the houses cost below $900,000 and very few houses that cost more than $1,200,000.

Symmetric, usemeanandstandard deviationsince there are few outliers, we expect mean and median to be similar.

- Number of alcoholic drinks consumed by college students in a given week. Assume that most of these students donâ€™t drink since they are under 21 years old, and only a few drink excessively.

Right skewedand usemedianandIQRto reduce influence of outliers to the right.

Note: I might segment this sample into separate drinkers vs non-drinkers, then look just at the drinkers distribution. I suspect it will also be right skewed where most drinkers only have a few drink and there are a few outliers that binge. However, once we remove the 0 drinks, this probaly better represents the real distribution we are interested in. I would again usemedianandIQRto remove the influce of bingers on this distribution.

- Annual salaries of the employees at a Fortune 500 company where only a few high level executives earn much higher salaries than the all other employees.

If outliers are included then its an extremely

right skewed. I would use themedianto remove influnce of the few outliers and useIQRto described the distribution.

Note: If we removed the outliers and the remaining distribution were closer to normal, then we could consider usingmeanandSD

**Heart transplants.** (2.26, p.Â 76) The Stanford University Heart Transplant Study was conducted to determine whether an experimental heart transplant program increased lifespan. Each patient entering the program was designated an official heart transplant candidate, meaning that he was gravely ill and would most likely benefit from a new heart. Some patients got a transplant and some did not. The variable *transplant* indicates which group the patients were in; patients in the treatment group got a transplant and those in the control group did not. Of the 34 patients in the control group, 30 died. Of the 69 people in the treatment group, 45 died. Another variable called *survived* was used to indicate whether or not the patient was alive at the end of the study.