Use the methods we've discussed in class to tell a story about a dataset of interest to you. On blackboard, submit your writeup with tables and figures in a pdf document, your dataset as a CSV or XSLX file, your R script or other code in a runnable format or as an addendum to your writeup. The assignment should be roughly 5-10 pages including tables and figures. You are encouraged to work in groups of 3 or fewer. Submit one assignment per group. As always feel free to reach out via email if you have any questions. See the Excel sheet for a walkthrough of the computations. 1. Motivation a. Follow the method proposed in the hypothesis testing slides. Start by asking a question about the world, and proposing a hypothesis in the form of "does X affect Y?" so "an increase (or decrease) in X should lead to an increase (or decrease) in Y." (The increase and decrease do not need to match.) 2. Acquiring and accessing data a. Find a dataset related to the hypothesis you posed in the previous question. Choose a dataset that interests you. Download and open it in your statistical software. Explain any transformations or changes you make to your data, if any. You will need at least 3 variables. The textbook has some decent datasets available. The Federal Reserve Economics Database (FRED) has many economics related datasets. Yahoo Finance has easily accessible stock data. Zillow and realtor.com have real estate and home-value data. Data. gov has all sorts of data provided by US government agencies. The OECD, UN and IMF have good datasets on other countries. Also, many foreign countries have their own statistics organizations, e.g. Statistics Canada, or the UK national statistics office. The Brooklyn library also has access to many other useful datasets including Mergent Online for company financial data