Now calculate np and nq forn = 20, p = 0.50, and q = 0.50. np = x (0.50) %3D ng = 20 We conclude that since ---Select--- p distribution. the requirements have been met to use the normal distribution for the Submit Skip_ (you cannot come back)
Now calculate np and nq forn = 20, p = 0.50, and q = 0.50. np = x (0.50) %3D ng = 20 We conclude that since ---Select--- p distribution. the requirements have been met to use the normal distribution for the Submit Skip_ (you cannot come back)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![at
Recall that to test a proportion, p, assuming all requirements are met, the z values will be calculated using the following formula,
where r is the number of successes, n is the number of trials, p = - is the sample statistic, p is the population probability of
%3D
success, and q = 1 - p represents the population probability of failure.
р - р
z =
pq
In order to use the normal distribution to estimate the p distribution, the number of trials n should be sufficiently large so that
both np > 5 and ng > 5. We will first check that these requirements are met.
We have a random sample of 20 binomial trials resulting in 9 successes and we wish to test the claim that the population
proportion of successes does not equal 0.50 using a significance level of 0.05. Therefore, we can define n, p, and q as follows.
n =
20
20
p = 0.50
0.50
q = 1 - p = 0.50
0.50
Step 2
Now calculate np and ng for n = 20, p = 0.50, and q = 0.50.
np =
X (0.50)
ng = 200
We conclude that since ---Select---
p distribution.
the requirements have been met to use the normal distribution for the
Submit
Skip (you cannot come back)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7bcb949c-9f78-4b8a-adc0-38284444cf4f%2Fd69b4354-c533-4deb-8900-9106cd43dc19%2F1vgtox_processed.png&w=3840&q=75)
Transcribed Image Text:at
Recall that to test a proportion, p, assuming all requirements are met, the z values will be calculated using the following formula,
where r is the number of successes, n is the number of trials, p = - is the sample statistic, p is the population probability of
%3D
success, and q = 1 - p represents the population probability of failure.
р - р
z =
pq
In order to use the normal distribution to estimate the p distribution, the number of trials n should be sufficiently large so that
both np > 5 and ng > 5. We will first check that these requirements are met.
We have a random sample of 20 binomial trials resulting in 9 successes and we wish to test the claim that the population
proportion of successes does not equal 0.50 using a significance level of 0.05. Therefore, we can define n, p, and q as follows.
n =
20
20
p = 0.50
0.50
q = 1 - p = 0.50
0.50
Step 2
Now calculate np and ng for n = 20, p = 0.50, and q = 0.50.
np =
X (0.50)
ng = 200
We conclude that since ---Select---
p distribution.
the requirements have been met to use the normal distribution for the
Submit
Skip (you cannot come back)
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