Question

Keeping it "Normal" 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 a table and count the number that came up heads. - Roll two dice and record the total. - Deal 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 - number of wins for baseball teams, scores in a golf tournament, weights of players on a football team, etc. - Find something on the Internet - www.census.gov for example. 2. 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. 3. Check the Normal model. Use the mean and 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.

Keeping it "Normal"

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 a table and count the number that came up heads.
- Roll two dice and record the total.
- Deal 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 - number of wins for baseball teams, scores in a golf tournament, weights of players on a football team, etc.
- Find something on the Internet - www.census.gov for example.

2. 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.

3. Check the Normal model.

Use the mean and 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.

Show more…

Keeping it "Normal"

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 a table and count the number that came up heads.
- Roll two dice and record the total.
- Deal 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 - number of wins for baseball teams, scores in a golf tournament, weights of players on a football team, etc.
- Find something on the Internet - www.census.gov for example.

2. 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.

3. Check the Normal model.

Use the mean and 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.

Added by Alissa M.

Elementary Statistics a Step by Step Approach

Allan G. Bluman 9th Edition

Instant Answer

Solved by Expert Alvar Garcia-Fernandez

12/18/2020

Step 1

Collect data: For this example, let's use the number of wins for baseball teams in the 2020 season. You can find this data on the internet, for example on the official Major League Baseball website or on sports statistics websites. Collect the number of wins for Show more…

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