Answer :
At the 0.05 significance level, we do not have sufficient evidence to conclude that the true mean body temperature is different from 98.6°F.
State the hypotheses:
- Null hypothesis (H0): μ = 98.6°F
- Alternative hypothesis (H1): μ ≠ 98.6°F
Calculate the sample mean (x), sample standard deviation (s), and sample size (n):
- Sample data: 98.2, 98.2, 99.0, 96.9, 98.5, 98.9, 97.7, 99.1, 98.7, 97.9
- n = 10, x = (98.2 + 98.2 + 99.0 + 96.9 + 98.5 + 98.9 + 97.7 + 99.1 + 98.7 + 97.9) / 10 = 98.31°F
- s = 0.684°F
Compute the test statistic:
Since the population standard deviation is unknown, we use the t-distribution. The test statistic is calculated as:
t = (x - μ) / (s/√n) = (98.31 - 98.6) / (0.684/√10) = -1.354
Determine the critical value (tcritical) for a two-tailed test at α = 0.05 and 9 degrees of freedom (n - 1):
From the t-distribution table, tcritical ≈ ±2.262
Compare the test statistic to the critical value:
Since -1.354 lies between -2.262 and 2.262, we fail to reject the null hypothesis.