3: In a 1868 paper, German physician Carl Wunderlich reported based on over a million body temperature readings that the mean body temperature for healthy adults is 98.6° F. However, it is now commonly believed that the mean body temperature of a healthy adult is less than what was reported in that paper. To test this hypothesis a researcher measures the following body temperatures from a random sample of healthy adults. 98.2, 98.4, 98.7, 98.7, 97.7, 98.4, 98.5, 97.8 =): (a) Find the 5% critical value. (b) Find the value of the test statistic. (c) Work through this example on R, and then use R to find the p-value for the relevant hypothesis test. (d) Since the sample size is less than 30, the above analysis requires that the population follows a normal distribuiton. What method could be used to check this assumption? critical value (correct to 3 decimals) (d): Select What method? test statistic (correct to 4 decimals) p-value (A) One-sample z-test for a population mean. (B) Draw a Normal QQ plot, and see if the points fall close to a straight line. (C) check to see if the answer in (a) is less than the answer in (b). (D) Draw a Normal QQ plot, and see if the points are bell-shaped (like the normal curve). (E) Check to see if the p-value in (c) above is less than the a value. (F) Check to see if the p-value in (c) above is greater than .10. (G) One-sample t-test for a population mean. (H) check to see if the answer in (a) is greater than or equal to the answer in (b).

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Problem #3: In a 1868 paper, German physician Carl Wunderlich reported based on over a million body temperature readings
that the mean body temperature for healthy adults is 98.6° F. However, it is now commonly believed that the
mean body temperature of a healthy adult is less than what was reported in that paper. To test this hypothesis a
researcher measures the following body temperatures from a random sample of healthy adults.
98.2, 98.4, 98.7, 98.7, 97.7, 98.4, 98.5, 97.8
Problem #3(a):
Problem #3(b):
Problem #3(c):
(a) Find the 5% critical value.
(b) Find the value of the test statistic.
(c)
Work through this example on R, and then use R to find the p-value for the relevant hypothesis test.
(d) Since the sample size is less than 30, the above analysis requires that the population follows a normal
distribuiton. What method could be used to check this assumption?
critical value (correct to 3 decimals)
test statistic (correct to 4 decimals)
Problem #3(d): Select What method?
p-value
(A) One-sample z-test for a population mean.
(B) Draw a Normal QQ plot, and see if the points fall close to a straight line.
(C) check to see if the answer in (a) is less than the answer in (b).
(D) Draw a Normal QQ plot, and see if the points are bell-shaped (like the normal curve).
(E) Check to see if the p-value in (c) above is less than the a value.
(F) Check to see if the p-value in (c) above is greater than .10. (G) One-sample t-test for a population mean.
(H) check to see if the answer in (a) is greater than or equal to the answer in (b).
Transcribed Image Text:Problem #3: In a 1868 paper, German physician Carl Wunderlich reported based on over a million body temperature readings that the mean body temperature for healthy adults is 98.6° F. However, it is now commonly believed that the mean body temperature of a healthy adult is less than what was reported in that paper. To test this hypothesis a researcher measures the following body temperatures from a random sample of healthy adults. 98.2, 98.4, 98.7, 98.7, 97.7, 98.4, 98.5, 97.8 Problem #3(a): Problem #3(b): Problem #3(c): (a) Find the 5% critical value. (b) Find the value of the test statistic. (c) Work through this example on R, and then use R to find the p-value for the relevant hypothesis test. (d) Since the sample size is less than 30, the above analysis requires that the population follows a normal distribuiton. What method could be used to check this assumption? critical value (correct to 3 decimals) test statistic (correct to 4 decimals) Problem #3(d): Select What method? p-value (A) One-sample z-test for a population mean. (B) Draw a Normal QQ plot, and see if the points fall close to a straight line. (C) check to see if the answer in (a) is less than the answer in (b). (D) Draw a Normal QQ plot, and see if the points are bell-shaped (like the normal curve). (E) Check to see if the p-value in (c) above is less than the a value. (F) Check to see if the p-value in (c) above is greater than .10. (G) One-sample t-test for a population mean. (H) check to see if the answer in (a) is greater than or equal to the answer in (b).
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