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Author Question: In assessing the normality of a data set, why is it easier to interpret a normal probability plot ... (Read 67 times)

Deast7027

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on: Jul 25, 2018
In assessing the normality of a data set, why is it easier to interpret a normal probability plot than it is to interpret a histogram?
 
  What will be an ideal response?

Question 2

A severe drought affected several western states for 3 years. A Christmas tree farmer is worried about the drought's effect on the size of his trees.
 
  To decide whether the growth of the trees has been retarded, the farmer decides to take a sample of the heights of 25 trees. Typically trees of this age have a mean height of 65 inches with a standard deviation of 9 inches. Assuming the distribution is bell shaped, where do you expect middle 95 of the tree heights to fall?
  A) between 47 and 83 inches tall B) over 56 inches tall
  C) between 38 and 92 inches tall D) between 56 and 74 inches tall


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yotaSR5

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

Because it is easier to recognize a straight line than it is to recognize the shape of a bell curve.

Answer to Question 2

A


Deast7027

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Reply 2 on: Jul 25, 2018
Great answer, keep it coming :)

dawsa925

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Reply 3 on: Yesterday
Wow, this really help

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