A sample of 75 body temperatures has a mean of 98.3. Assume that σ is known to be 0.5 oF. Use a 0.05 significance level to test the claim that the mean body temperature of the population is equal to 98.5 oF, as is commonly believed. What is the value of test statistic for this testing? (Round off the answer upto 2 decimal places)

We are examining whether the mean body temperature of a population is equal to 98.5°F. We have a sample of 75 body temperatures with a mean of 98.3°F and a known population standard deviation of 0.5°F.

To perform this hypothesis test, we will use the z-test since we know the population standard deviation. The test statistic for a z-test is calculated using the formula: z = (sample mean - hypothesized mean) / (population standard deviation / sqrt(sample size)).

Using the given values, the test statistic can be computed as follows:

z = (98.3 - 98.5) / (0.5 / sqrt(75)).

By substituting the values into the formula and performing the calculations, we can find the test statistic. Remember to round the answer to two decimal places. The resulting value will indicate how many standard deviations the sample mean is away from the hypothesized mean, 98.5°F.

Learn more about sqrt here:

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