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snowicefox17 snowicefox17
wrote...
Posts: 524
4 years ago
A manufacturer claims that the mean amount of juice in its bottles is 16.1 ounces. A consumer advocacy group wants to perform a hypothesis test to determine whether the mean amount is actually less than this. The hypotheses are:
H0: μ = 16.1 ounces
Ha: μ < 16.1 ounces
Identify the Type I error.

▸ Reject the claim that mean amount is 16.1 ounces when in fact the mean amount is 16.1 ounces.

▸ Fail to reject the claim that mean amount is 16.1 ounces when in fact the mean amount is 16.1 ounces.

▸ Reject the claim that mean amount is 16.1 ounces when in fact the mean amount is less than


▸ Fail to reject the claim that mean amount is 16.1 ounces when in fact the mean amount is less than 16.1 ounces.
Textbook 
Statistical Reasoning for Everyday Life

Statistical Reasoning for Everyday Life


Edition: 5th
Authors:
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ShaeTime3ShaeTime3
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Posts: 368
4 years ago
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snowicefox17 Author
wrote...

4 years ago
Thanks for your help!!
wrote...

Yesterday
Good timing, thanks!
wrote...

2 hours ago
this is exactly what I needed
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