5. The following are the outputs from a TI-83 after a hypothesis test was performed on the calculator. Answer the questions relating to the hypothesis test performed. Assume that all tests are to be performed at the 5% significance level unless you are told otherwise. 1-PropZTest Would you reject H0 ? EXPLAIN why or wh not. prop<.052 Z = -1.429961766 %3D p = .076364042 p = . 04 n = 700 What were the null and alternative hypothesis for this test? What were the values of x and n used to calculate p?
5. The following are the outputs from a TI-83 after a hypothesis test was performed on the calculator. Answer the questions relating to the hypothesis test performed. Assume that all tests are to be performed at the 5% significance level unless you are told otherwise. 1-PropZTest Would you reject H0 ? EXPLAIN why or wh not. prop<.052 Z = -1.429961766 %3D p = .076364042 p = . 04 n = 700 What were the null and alternative hypothesis for this test? What were the values of x and n used to calculate p?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:The outputs from a TI-83 after performing a hypothesis test are shown below. Answer the following questions while assuming all tests are carried out at a 5% significance level unless stated otherwise.
**1-PropZTest:**
- Would you reject \(H_0\)? Explain why or why not.
- prop < 0.052
- z = -1.429961766
- p = 0.076364042
- \(\hat{p} = 0.04\)
- n = 700
- What were the null and alternative hypotheses for this test?
- What were the values of x and n used to calculate \(\hat{p}\)?
**T-Test:**
- Would you reject \(H_0\)? Explain why or why not.
- \(\mu > 100\)
- t = 3.666666667
- p = 2.5328946E-4
- \(\bar{x} = 111\)
- SX = 24
- n = 64
- What were the null and alternative hypotheses for this test?
- Find a 95% confidence interval for \(\mu\).
**Question:**
True or False? Explain your answer. It is not sufficient to just answer true or false.
- When performing a hypothesis test, if we get a p-value of 0.316, we have proven that the null hypothesis is true.
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