Height and age: Are older men shorter than younger men? According to a national report, the mean height for U.S. men is 69.4 inches. In a sample of 304 men between the ages of 60 and 69, the mean height was =x68.8 inches. Public health officials want to determine whether the mean height μ for older men is less than the mean height of all adult men. Assume the population standard deviation to be =σ3.13. Use the =α0.05 level of significance and the P-value method with the TI-84 Plus calculator.Part 1 of 5(a) State the appropriate null and alternate hypotheses.:H0 =μ69.4:H1 <μ69.4This hypothesis test is a ▼left-tailed test.Part: 1 / 51 of 5 Parts CompletePart 2 of 5(b) Compute the value of the test statistic. Round the answer to two decimal places.z=
Question
Height and age: Are older men shorter than younger men? According to a national report, the mean height for U.S. men is 69.4 inches. In a sample of 304 men between the ages of 60 and 69, the mean height was =x68.8 inches. Public health officials want to determine whether the mean height μ for older men is less than the mean height of all adult men. Assume the population standard deviation to be =σ3.13. Use the =α0.05 level of significance and the P-value method with the TI-84 Plus calculator.Part 1 of 5(a) State the appropriate null and alternate hypotheses.:H0 =μ69.4:H1 <μ69.4This hypothesis test is a ▼left-tailed test.Part: 1 / 51 of 5 Parts CompletePart 2 of 5(b) Compute the value of the test statistic. Round the answer to two decimal places.z=
Solution
The null hypothesis (H0) is that the mean height of older men (μ) is equal to the mean height of all adult men, which is 69.4 inches. The alternative hypothesis (H1) is that the mean height of older men (μ) is less than the mean height of all adult men, which is 69.4 inches.
The test statistic (z) can be calculated using the formula:
z = (x̄ - μ) / (σ / √n)
where: x̄ = sample mean = 68.8 inches μ = population mean = 69.4 inches σ = population standard deviation = 3.13 n = sample size = 304
Substituting the values into the formula, we get:
z = (68.8 - 69.4) / (3.13 / √304)
After calculating the above expression, round the answer to two decimal places to get the value of the test statistic (z).
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