Please use D2L to turn in both the HTML output and your R Markdown file in. Use a dataset containing homes in the Seattle, WA area http://www.math.montana.edu/ahoegh/teaching/stat408/datasets/SeattleHousing.csv for this lab

### Q1. (16 pts)

#### a. (4 pts)

Compute \(Prob[Price > 600,000]\)

#### b. (4 pts)

Compute \(Prob[Price > 600,000, Waterfront =1]\)

#### c. (4 pts)

Compute \(Prob[Price > 600,000|Waterfront = 1]\)

#### d. (4 pts)

Are the results for a - c different? Why is this the case?

## Q2 (12 pts)

#### a. (4 pts)

Using this dataset, summarize or visualize the distribution for home price.

#### b. (4 pts)

Now, summarize or visualize the distribution for home price, given that Waterfront = 1 (the house is a waterfront property)

#### b. (4 pts)

Regardless of what approach you used for 2a-2b. Compare and contrast approaches that used the mean price for each situation versus one that plots the distribution and talks about the entire set of outcomes.