A manufacturer claims that the average capacity of a certain type of battery your company consumes is at least 140 ampere-hours. Quality control unit wishes to test the credibility of the manufacturer's claim and measures the capacity of 20 batteries from a recently produced batch. The results, in ampere-hours, are as follows: 137.4 140.0 138.8 139.1 144.4 139.2 141,8 137.3 133.5 138.2 141.1 139.7 136.7 136.3 135.6 138.0 140.9 140.6 136.7 134.1 Using the 0.05 level of significance, Interpret the results of the manufacturer's hypothesis. Is there enough evidence that the manufacturer's hypothesis is being overstated? You are asked to summarize the statistical data you have been investigating in a method that can be understood by non-technical colleagues.

A First Course in Probability (10th Edition)
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Chapter1: Combinatorial Analysis
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A manufacturer claims that the average capacity of a certain type of battery your company
consumes is at least 140 ampere-hours. Quality control unit wishes to test the credibility of the
manufacturer's claim and measures the capacity of 20 batteries from a recently produced
batch. The results, in ampere-hours, are as follows:
137.4 140.0 138.8 139.1 144.4 139.2 141.8 137.3 133.5 138.2
141.1 139.7 136.7 136.3 135.6 138.0 140.9 140.6 136.7 134.1
Using the 0.05 level of significance, Interpret the results of the manufacturer's hypothesis. Is there
enough evidence that the manufacturer's hypothesis is being overstated?
You are asked to summarize the statistical data you have been investigating in a method that
can be understood by non-technical colleagues.
Transcribed Image Text:A manufacturer claims that the average capacity of a certain type of battery your company consumes is at least 140 ampere-hours. Quality control unit wishes to test the credibility of the manufacturer's claim and measures the capacity of 20 batteries from a recently produced batch. The results, in ampere-hours, are as follows: 137.4 140.0 138.8 139.1 144.4 139.2 141.8 137.3 133.5 138.2 141.1 139.7 136.7 136.3 135.6 138.0 140.9 140.6 136.7 134.1 Using the 0.05 level of significance, Interpret the results of the manufacturer's hypothesis. Is there enough evidence that the manufacturer's hypothesis is being overstated? You are asked to summarize the statistical data you have been investigating in a method that can be understood by non-technical colleagues.
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