---
title: "Lab 3"
author: "Name here"
output: html_document
---

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](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.
