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Researchers for a company that manufactures batteries want to test the hypothesis that the mean battery life of their new battery is greater than the known mean battery life of their older version. The researchers selected random samples of 32 of the new batteries, subjected the batteries to continuous use, and determined the mean and standard deviation of the battery lives in the sample. Which of the following is an appropriate test for the researchers' hypothesis?

a. A one-sample z-test for a population mean.
b. A one-sample t-test for a population mean.
c. A one-sample z-test for a population proportion.
d. A matched-pairs t-test for a mean difference
e. A two-sample t-test for a difference between means

Answer :

Itzbunnyyygo

(b) one-sample t-test for a population mean

ur welcome :D

Parraingo

The most appropriate test to be used here would be a b. A one-sample t-test for a population mean.

Reasons to use one-sample t-test for a population mean.

One sample t-test is used when one wants to compare the mean of a population to another mean for statistical difference which is what the researchers hope to do here in comparing the mean battery life of a new battery to an old one.

A population mean will also be used because the population standard deviation is not given.

In conclusion, option B is correct.

Find out more on sample t-tests at https://brainly.com/question/6501190.

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