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When to know if the given probability is unusual, very unusual, or not unusual? Is there any range for percent or decimal value? Thanks!

When to know if the given probability is unusual, very unusual, or not unusual? Is there any range for percent or decimal value? Thanks!

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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When to know if the given probability is unusual, very unusual, or not unusual? Is there any range for percent or decimal value? Thanks!

Would it be unusual to get a sample mean of x = 4.5 or greater in a random sample of size n = 6 from this population? Getting a sample mean of 4.5 ounces or more happens in only about 0.71% of all possible samples of size 6 from this tree. This is very unusual! xx x x x x x kyvy
Transcribed Image Text:Would it be unusual to get a sample mean of x = 4.5 or greater in a random sample of size n = 6 from this population? Getting a sample mean of 4.5 ounces or more happens in only about 0.71% of all possible samples of size 6 from this tree. This is very unusual! xx x x x x x kyvy
Would it be unusual to get a sample mean for the lemons that was more than 1.2 ounces greater than the sample mean for the oranges? Getting a difference (L- O) in sample mean weights of more than 1.2 ounces happens in about 22.06% of all possible samples of 6 lemons and 6 oranges from these trees. This is not unusual. **Knowing what values of a statistic count as unusual is one of the most important reasons to study sampling distributions.
Transcribed Image Text:Would it be unusual to get a sample mean for the lemons that was more than 1.2 ounces greater than the sample mean for the oranges? Getting a difference (L- O) in sample mean weights of more than 1.2 ounces happens in about 22.06% of all possible samples of 6 lemons and 6 oranges from these trees. This is not unusual. **Knowing what values of a statistic count as unusual is one of the most important reasons to study sampling distributions.
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