State the null and alternative hypotheses for each of the situations
a. A quality control engineer is testing the battery life of a new smartphone. The company is
advertising that the battery lasts 24 hours on a full - charge, but the engineer suspects that the battery life is actually
less than that. They take a random sample of 50 of these phones to see if their average battery life is significantly less than 24 hours. Let μ represent the mean battery life for this population of phones.
b. healthcare providers saw that 48% of their members received their flu shot in recent years. The healthcare provider then tried a more aggressive advertising strategy in the following year hoping to increase the proportion. Afterward, the provider took a sample of members to test if the proportion who received their flu shot had changed according to their predictions.
a. The null and alternative hypotheses
Let μ represent the mean battery life for this population of phones.
Null hypothesis
i.e. the mean battery life for this population of phones is equal to 24 hours on a full - charge.
Alternative hypothesis
i.e. the mean battery life for this population of phones is less than 24 hours on a full - charge.
b. The null and alternative hypotheses
Let p represent the population proportion of members who received their flu shot.
Null hypothesis
i.e. the population proportion of members who received their flu shot is equal to 48%
Alternative hypothesis
i.e. the population proportion of members who received their flu shot is greater than 48%
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