6. Data set 3 in Appendix B includes a sample of 106 body temperatures with a mean of 98.20°F and a standard deviation of 0.62°F. Use a 0.05 significance level to test the claim that the mean body temperature of the population is equal to 98.6°F, as is commonly believed. **Use the critical value method only.** Is there sufficient evidence to conclude that the common belief is wrong?
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6 F (H0: μ = 98.6). The alternative hypothesis would be that the mean body temperature of the population is not equal to 98.6 F (H1: μ ≠ 98.6). Show more…
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A sample of 106 body temperatures was found to have a mean of 98.20℉ and a standard deviation of 0.62℉. Use a 0.05 significance level to test the claim that the mean body temperature of the population is equal to 98.6℉, as is commonly believed. Is there sufficient evidence to conclude that the common belief is wrong?
Marc L.
Human Body Temperature: A sample of 115 body temperatures with a mean of 98.20°F and a standard deviation of 0.62°F. Use a 0.05 significance level to test the claim that the mean body temperature of the population is equal to 97.6°F, as is commonly believed. Is there sufficient evidence to conclude that the common belief is wrong?
Madhur L.
Either use technology to find the P-value or use Table A-3 to find a range of values for the $P$-value. technology. Use a $0.05$ significance level. Identify the null and alternative hypotheses, test statistic, P-value (or range of P-values), or critical value(s), and state the final conclusion that addresses the original claim. Data Set 3 “Body Temperatures” in Appendix B includes 93 body temperatures measured at 12 am on day 1 of a study, and the accompanying XLSTAT display results from using those data to test the claim that the mean body temperature is equal to $98.6°F$ . Conduct the hypothesis test using these results.
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