Question

In: Statistics and Probability

You are on a research team that is investigating the mean temperature of adult humans. The...

You are on a research team that is investigating the mean temperature of adult humans. The commonly accepted claim is that the mean temperature is about 98.6 degrees F. You want to show that this claim is false. How would you write the null and alternative hypothesis?

Now assume that you have a sample of 35 adults and their mean temperature is 97.8 and the standard deviation of the temperatures is 0.8 Complete the test with alpha = 0.01

  1. What is the p-value and why? How did you calculate that?
  2. What is the 95% confidence interval based on this sample?
  3. Complete the test with critical values and provide the answer ( reject or not)?
  4. Complete the test with p-value (reject or not)?
  5. Do you reject or not reject the claim, the null or the alternative and why? Is it always like this?
  6. What is your conclusion??? Is your conclusion related to the null, the alternative of the claim and why? Is it always like this?

Solutions

Expert Solution

Given that the commonly accepted claim is that the mean temperature is about = 98.6 degrees F.

So, based on the claim the hypotheses are:

Based on the hypothesis it will be a two-tailed test.

assuming that we have a sample of n = 35 adults and their mean temperature is = 97.8 and the standard deviation of the temperatures is s = 0.8.

Since the sample size is greater than 30 and taken from a large population hence it is assumed that it is normally distributed, but since the population, the standard deviation is not known we will be using t-distribution to test the hypothesis.

Rejection region:

Based on the significance level the critical values for the two-tailed test are calculated by excel formula for T-distribution which is =T.INV.2T(0.01,34) , where 30 is the degree of freedom which is calculated as n-1 = 35-1 =34 which results in tc = +/-2.73.

P-value approach:

Reject the Ho if P-value <0.01

So. reject Ho if t-calculated is greater than 2.73 or less than -2.73

Test Statistic:

P-value:

The P-value is again calculated by excel formula for T-distribution which is =T.DIST.2T(5.916,34)

this results in P-value <0.01

Decision:

Since P-value <0.01 and t<-tc hence we reject the null hypothesis.

Conclusion:

Since we can reject the null hypothesis hence we conclude that there is sufficient evidence to warrant the claim.


Related Solutions

It is commonly believed that the mean body temperature of a healthy adult is 98.6∘F98.6∘F. You...
It is commonly believed that the mean body temperature of a healthy adult is 98.6∘F98.6∘F. You are not entirely convinced. You believe that it is not 98.6∘F98.6∘F. You collected data using 51 healthy people and found that they had a mean body temperature of 98.2∘F98.2∘F with a standard deviation of 1.18∘F1.18∘F. Use a 0.05 significance level to test the claim that the mean body temperature of a healthy adult is not 98.6∘F98.6∘F. a) Identify the null and alternative hypotheses? b)...
It is commonly believed that the mean body temperature of a healthy adult is 98.6 F....
It is commonly believed that the mean body temperature of a healthy adult is 98.6 F. You are not entirely convinced. You collected data using 43 healthy people and found that they had a mean body temperature of 98.21 F with a standard deviation of 1.14 F. Use a 0.05 significance level to test the claim that the mean body temperature of a healthy adult is not 98.6 F. Please do not use a table, use calculator.
Consider the following hypothesis test. The null hypothesis is "The mean body temperature for humans is...
Consider the following hypothesis test. The null hypothesis is "The mean body temperature for humans is 98.6 degrees Farenheit." and the alternative hypothesis is "The mean body temperature for humans differs from 98.6 degrees Farenheit." Answer the following questions. a. "The mean body temperature for humans in fact is 98.6 degrees Farenheit but the result of the sampling lead to the conclusion that the mean body temprature for humans differ from 98.6 degrees Farenheit" is a A. correct decision B....
Carl Reinhold August Wunderlich reported that the mean temperature of humans is 98.6F. To test this...
Carl Reinhold August Wunderlich reported that the mean temperature of humans is 98.6F. To test this long-held belief about the average body temperature, medical researchers measured the temperature of 36 randomly selected healthy adults. The sample data resulted in a sample mean of 98.2F and a sample standard deviation of 0.6F. Assuming that the population is normal, test whether the mean temperature of humans is different from 98.6F at the 5% significance level. To gain full credit, you should provide...
A data set includes 107 body temperatures of healthy adult humans having a mean of 98.7degreesF...
A data set includes 107 body temperatures of healthy adult humans having a mean of 98.7degreesF and a standard deviation of 0.72degreesF. Construct a 99​% confidence interval estimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6degreesF as the mean body​ temperature? Click here to view a t distribution table. LOADING... Click here to view page 1 of the standard normal distribution table. LOADING... Click here to view page 2...
A data set includes 106 body temperatures of healthy adult humans having a mean of 98.9...
A data set includes 106 body temperatures of healthy adult humans having a mean of 98.9 degrees and a standard deviation of 0.63 degrees. Construct a 99​% confidence interval estimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6 degrees as the mean body​ temperature? What is the confidence interval estimate of the population mean μ​?
A data set includes 103 body temperatures of healthy adult humans having a mean of 98.9...
A data set includes 103 body temperatures of healthy adult humans having a mean of 98.9 F and a standard deviation of 0.67 F. Construct a 99​% confidence interval estimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6F as the mean body​ temperature? What is the confidence interval estimate of the population mean ​?
A data set includes 106 body temperatures of healthy adult humans having a mean of 98.9degreesF...
A data set includes 106 body temperatures of healthy adult humans having a mean of 98.9degreesF and a standard deviation of 0.62degreesF. Construct a 99​% confidence interval estimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6degreesF as the mean body​ temperature? Click here to view a t distribution table. LOADING... Click here to view page 1 of the standard normal distribution table. LOADING... Click here to view page 2...
7. A data set includes 108 body temperatures of healthy adult humans having a mean of...
7. A data set includes 108 body temperatures of healthy adult humans having a mean of 98.3 F° and a standard deviation of 0.69 F°. Construct a 99​% confidence interval estimate of the mean body temperature of all healthy humans. What does the sample suggest about the use of 98.6 F° as the mean body​ temperature? What is the confidence interval estimate of the population mean µ​? ____F°<µ<____ F° ​(Round to three decimal places as​ needed.) What does this suggest...
(12 pts) Imagine that you are part of an international medical team. You are investigating a...
(12 pts) Imagine that you are part of an international medical team. You are investigating a strange virus that has broken out in the US. You have samples of the virus from January when it was first detected and samples taken from patients in May. The virus uses a specific protein to attach to a receptor on lung cells and infect the people. You notice the that the attachment protein in the January samples has a different amino acid sequence...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT