The dataset is 'Apple_Juice.csv', which is posted on Canvas. The 'Apple Juice' column contains the amount in ounces in each of 22 bottles taken as a simple random sample from the manufacturing assembly line. The filling machine is not precise which makes the content of juice vary from bottle to bottle. Each bottle's label states it contains 63 ounces of apple juice. The manufacturer requires the mean amount of juice in a bottle be 63.05 ounces to decrease the chance of a bottle being under the 63-ounce threshold by random chance. Given the manufacturer's concern about filling bottles, conduct a hypothesis test to determine the mean amount of a bottle may be less than the target of 63.05 ounces. 1. What is the parameter of interest in this study? 2. What is the population related to this study? 3. State the null hypothesis (HO) and the alternative hypothesis (H1) related to the objective of this study.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Apple Juice (oz)
64.05
64.01
63.98
63.95
64.05
63.99
64.05
63.97
64.03
64
63.95
64.1
63.97
64.01
64.01
63.98
63.95
64.06
64.08
64.02
63.94
64.01
Transcribed Image Text:Apple Juice (oz) 64.05 64.01 63.98 63.95 64.05 63.99 64.05 63.97 64.03 64 63.95 64.1 63.97 64.01 64.01 63.98 63.95 64.06 64.08 64.02 63.94 64.01
The dataset is 'Apple_Juice.csv', which is posted on Canvas. The 'Apple Juice' column contains the amount
in ounces in each of 22 bottles taken as a simple random sample from the manufacturing assembly line.
The filling machine is not precise which makes the content of juice vary from bottle to bottle. Each bottle's
label states it contains 63 ounces of apple juice.
The manufacturer requires the mean amount of juice in a bottle be 63.05 ounces to decrease the chance of
a bottle being under the 63-ounce threshold by random chance.
Given the manufacturer's concern about filling bottles, conduct a hypothesis test to determine the mean
amount of a bottle may be less than the target of 63.05 ounces.
1. What is the parameter of interest in this study?
2. What is the population related to this study?
3. State the null hypothesis (HO) and the alternative hypothesis (H1) related to the objective of this
study.
Transcribed Image Text:The dataset is 'Apple_Juice.csv', which is posted on Canvas. The 'Apple Juice' column contains the amount in ounces in each of 22 bottles taken as a simple random sample from the manufacturing assembly line. The filling machine is not precise which makes the content of juice vary from bottle to bottle. Each bottle's label states it contains 63 ounces of apple juice. The manufacturer requires the mean amount of juice in a bottle be 63.05 ounces to decrease the chance of a bottle being under the 63-ounce threshold by random chance. Given the manufacturer's concern about filling bottles, conduct a hypothesis test to determine the mean amount of a bottle may be less than the target of 63.05 ounces. 1. What is the parameter of interest in this study? 2. What is the population related to this study? 3. State the null hypothesis (HO) and the alternative hypothesis (H1) related to the objective of this study.
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