Models

A Normal model can be a useful tool for interpreting what data have to say sometimes. Your task here is to check the usefulness of such a model for data you collect or create. There are three phases in completing this task:

1. Collect Data

You need a data set with 30-50 values. Find something you are interested in. Use existing data, or create some yourself. Need an idea?

• Put 10 pennies in a glass, put your hand over the top, shake well, then dump them out on the table and count the number that came up heads.
• Roll two dice and record the table
• Deal the cards from a well-shuffled deck one at a time. Count the
  number of cards you have to turn over until you find an ace.
• Use some data from another class - a science experiment, perhaps.
• Look something up in an almanac. For example, there are lots of tables of data about states crime rates, population density, median income, etc.
• Use some sports statistics Ð number of wins for baseball teams,, scored in a golf tournament, weights of players on a football team, etc.
• Find something on the Internet - www.census.gov for example

1. Describe the Data
   Write a brief but thorough description of your data. Start with the W’s and remember to include visual, numerical and verbal descriptions.
2. Check the Normal model

Use the mean and the standard deviation of your data to create a Normal model. Compare this model to the distribution that you found and explain why you think the model is or is not useful.

Price: $11.5

Solution: The downloadable solution consists of 7 pages, 450 words and 4 charts.
Deliverable: Word Document