Based on the topic you selected, you must use Data.gov or Census.gov to locate and download a dataset that is related to your new product or service. Sometimes these datasets contain a great deal of raw data, so you will need to use Tableau Prep to extract and analyze it before using it to begin building data visualizations.In a 3-4 page paper, you must:Provide the source of your dataset, along with the URL and description, and explain why this dataset best suits your Business Intelligence plan.Provide snapshots of your extraction and analysis using Tableau Prep. This should include any filters, column renaming, data format changes, and so on.Provide snapshots of any NULL value filters, if your data contains NULL values.Your submission must include:Your Microsoft Word document with at least 5 screenshots and descriptions of your extraction and analysis steps.Your original dataset in .csv or .xlsx file format.A Tableau Prep flow file in .tfl format.

A company is looking at the results of a marketing survey and trying to establish whether men and women value the product differently. They have data on the willingness to pay for the product for 50 men and 50 women.Design a hypothesis test of whether or not the mean willingness to pay for the product is different for men and women.Which, if any, is more important to minimize in this case, the type I or type II error? Why?How does the choice of the critical value affect the tradeoff between the type I and type II error? 1-2 pages with two references. it is a discussion question