The null and alternative hypotheses for a population proportion, as well as the sample results, are given. Use StatKey or other technology to generate a randomization distribution and calculate a p-value. StatKey tip: Use "Test for a Single Proportion" and then "Edit Data" to enter the sample information. Hypotheses: Ho :p = 0.5 vs Ha :p< 0.5; 38 = 0.38 with n= 100 Sample data: p 100 Round the p-value to three decimal places. p-value =|
The null and alternative hypotheses for a population proportion, as well as the sample results, are given. Use StatKey or other technology to generate a randomization distribution and calculate a p-value. StatKey tip: Use "Test for a Single Proportion" and then "Edit Data" to enter the sample information. Hypotheses: Ho :p = 0.5 vs Ha :p< 0.5; 38 = 0.38 with n= 100 Sample data: p 100 Round the p-value to three decimal places. p-value =|
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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Question
The null and alternative hypotheses for a population proportion, as well as the sample results, are given. Use StatKey or other technology to generate a randomization distribution and calculate a p-value. StatKey tip: Use "Test for a Single Proportion" and then "Edit Data" to enter the sample information.
Hypotheses: H0:p=0.5 vs Ha:p<0.5;
Sample data: p^=38100=0.38 with n=100
Round the p-value to three decimal places.
![**Chapter 4, Section 2, Exercise 060**
The null and alternative hypotheses for a population proportion, as well as the sample results, are given. Use StatKey or other technology to generate a randomization distribution and calculate a *p*-value. StatKey tip: Use "Test for a Single Proportion" and then "Edit Data" to enter the sample information.
**Hypotheses:**
\( H_0 : p = 0.5 \) vs \( H_a : p < 0.5 \);
**Sample data:**
\[
\hat{p} = \frac{38}{100} = 0.38 \text{ with } n = 100
\]
Round the *p*-value to three decimal places.
\[
p\text{-value} = \underline{\hspace{3cm}}
\]
The absolute tolerance is +/-0.005
[Click if you would like to Show Work for this question: Open Show Work](#)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd9267796-9a8f-49b7-9ba7-5513dbcaa001%2Fec283823-39af-423f-939f-c4f29edfa91b%2Fgzx3b_processed.png&w=3840&q=75)
Transcribed Image Text:**Chapter 4, Section 2, Exercise 060**
The null and alternative hypotheses for a population proportion, as well as the sample results, are given. Use StatKey or other technology to generate a randomization distribution and calculate a *p*-value. StatKey tip: Use "Test for a Single Proportion" and then "Edit Data" to enter the sample information.
**Hypotheses:**
\( H_0 : p = 0.5 \) vs \( H_a : p < 0.5 \);
**Sample data:**
\[
\hat{p} = \frac{38}{100} = 0.38 \text{ with } n = 100
\]
Round the *p*-value to three decimal places.
\[
p\text{-value} = \underline{\hspace{3cm}}
\]
The absolute tolerance is +/-0.005
[Click if you would like to Show Work for this question: Open Show Work](#)
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