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Author Question: How does the standard normal distribution differ from a nonstandard normal distribution? Why is it ... (Read 53 times)

leilurhhh

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on: Jul 25, 2018
How does the standard normal distribution differ from a nonstandard normal distribution? Why is it necessary to standardize in order to find percentages for nonstandard normal variables?
 
  What will be an ideal response?

Question 2

Suppose that a data set has a minimum value of 28 and a maximum value of 73 and that you want 5 classes. Explain how to find the class width for this frequency distribution. What happens if you mistakenly use a class width of 9 instead of 10?
 
  What will be an ideal response?


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kbennett34

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Reply #1 on: Jul 25, 2018
Answer to Question 1

Answers will vary. Possible answer: The standard normal distribution has a mean of 0 and a standard deviation of 1 while a nonstandard normal distribution can have any mean and standard deviation. It is necessary to standardize nonstandard normal distributions because a table of areas is available for the standard normal distribution but not for other normal distributions.

Answer to Question 2

Answers can vary. Possible answer: Each of the five classes should have the same width, and there are 46 values (including the minimum of 28 and the maximum of


leilurhhh

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Reply 2 on: Jul 25, 2018
Wow, this really help

at

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Reply 3 on: Yesterday
Great answer, keep it coming :)

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