Please show your work, so I can understand. 2. State the null and alternative hypotheses and identify which represents the claim.3. Determine the type of test that you should use: left-tailed, right-tailed, or two-tailed. Explain your reasoning.4. Conduct the test, showing all calculations and whether you reject or accept the null hypothesis. Explain what theresult means. (example in chapter 7)5. Discuss your thoughts on the decision in part d. What is your conclusion, based on the test results? Body Temperature (F°) of 106 Healthy Adults98.6 98.6 98.0 98.0 99.0 98.4 98.4 98.4 98.4 98.6 98.698.8 98.6 97.0 97.0 98.8 97.698.5 97.3 98.7 97.4 98.9 98.699.6 98.798.0 97.896.9 97.698.8 98.797.7 98.8 98.0 98.0 98.399.5 97.5 97.3 97.6 98.298.6 97.2 98.4 98.6 98.297.8 99.0 96.5 97.6 98.098.0 97.5 97.6 98.2 98.599.4 98.4 98.699.4 98.2 98.0 98.698.0 98.4 98.6 98.697.1 97.9 98.4 97.397.8 98.0 97.197.498.498.598.6 98.3 98.7 98.8 99.198.698.7 98.599.2 97.897.998.8 98.098.9 98.4 98.6 97.197.9 98.897.4 98.098.7 97.6 98.298.0 98.4 97.8 98.497.0

Answered: 2. State the null and alternative…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Question

Please show your work, so I can understand.

2. State the null and alternative hypotheses and identify which represents the claim.
3. Determine the type of test that you should use: left-tailed, right-tailed, or two-tailed. Explain your reasoning.
4. Conduct the test, showing all calculations and whether you reject or accept the null hypothesis. Explain what the
result means. (example in chapter 7)
5. Discuss your thoughts on the decision in part d. What is your conclusion, based on the test results?

Body Temperature (F°) of 106 Healthy Adults
98.6 98.6 98.0 98.0 99.0 98.4 98.4 98.4 98.4 98.6 98.6
98.8 98.6 97.0 97.0 98.8 97.6
98.5 97.3 98.7 97.4 98.9 98.6
99.6 98.7
98.0 97.8
96.9 97.6
98.8 98.7
97.7 98.8 98.0 98.0 98.3
99.5 97.5 97.3 97.6 98.2
98.6 97.2 98.4 98.6 98.2
97.8 99.0 96.5 97.6 98.0
98.0 97.5 97.6 98.2 98.5
99.4 98.4 98.6
99.4 98.2 98.0 98.6
98.0 98.4 98.6 98.6
97.1 97.9 98.4 97.3
97.8 98.0 97.1
97.4
98.4
98.5
98.6 98.3 98.7 98.8 99.1
98.6
98.7 98.5
99.2 97.8
97.9
98.8 98.0
98.9 98.4 98.6 97.1
97.9 98.8
97.4 98.0
98.7 97.6 98.2
98.0 98.4 97.8 98.4
97.0

Expert Solution

Step 1

One sample t-test: One sample t-test is used to test the significance difference between population mean(hypothesized value) and sample mean. The t-test statistic is appropriate method when the population standard deviation is unknown. Then, the t-test statistic is defined as

$t = \frac{\bar{x} - μ}{\frac{s}{\sqrt{n}}}$

where x-bar is the sample mean

μ is the population mean

s is the sample standard deviation and

n is sample size.

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