art 2: Hypothesis Test for the Population Proportion - Required Manual Tasks • Define your concern of interest drawing upon your variables in your dataset. • Conceptualize your null and alternate hypotheses based on your testing concept. a. Apply 1 one-sided test (upper-tail or lower-tail) and 1 two-sided test concepts for the  population proportion at 1%, 5%, or 10% levels of significance (choose one of them) by stating the appropriate decision rule.  b. Calculate p-value for each of your tests and perform testing for your same hypotheses  with p-value solution. Comment on how p-value changes for 1%, 5%, and 10%  significance levels (for all three). **Here in order to apply normal distribution approximation, you should be careful  about verifying np(1-p) > 5 as a rule of thumb.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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art 2: Hypothesis Test for the Population Proportion
- Required Manual Tasks
• Define your concern of interest drawing upon your variables in your dataset.
• Conceptualize your null and alternate hypotheses based on your testing concept.
a. Apply 1 one-sided test (upper-tail or lower-tail) and 1 two-sided test concepts for the 
population proportion at 1%, 5%, or 10% levels of significance (choose one of them)
by stating the appropriate decision rule. 
b. Calculate p-value for each of your tests and perform testing for your same hypotheses 
with p-value solution. Comment on how p-value changes for 1%, 5%, and 10% 
significance levels (for all three).
**Here in order to apply normal distribution approximation, you should be careful 
about verifying np(1-p) > 5 as a rule of thumb.
c. Make a confidence interval estimation for the population proportion based on 90%, 
95% and 99% confidence levels and make interpretations for all three

 

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