A. The sample observations are not a random sample, so a test about a population proportion using the normal approximating method cannot be used B. All of the conditions for testing a claim about a population proportion using the normal approximation method are satisfied, so the method can be us c. One of the conditions for a binomial distribution are not satisfied, so a test about a population proportion using the normal approximating method ca be used D. The conditions np2 5 and nq 2 5 are not satisfied, so a test about a population proportion using the normal approximation method cannot be used In a certain survey, ST peopie chose lo Tespona to tNis question. Should passwords be repiaced with DION respondents, 55% said "yes." We want to test the claim that more than half of the population believes that Complete parts (a) through (d) below. b. It was stated that we can easily remember how to interpret P-values with this: "If the P is low, the null mu A. This statement means that if the P-value is very low, the alternative hypothesis should be rejected B. This statement means that if the P-value is not very low, the null hypothesis should be rejected C. This statement means that if the P-value is very low, the null hypothesis should be rejected D. This statement means that if the P-value is very low, the null hypothesis should be accepted.

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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In a certain survey,

people chose to respond to this question: "Should passwords be replaced with biometric security (fingerprints, etc)?" Among the respondents,

55%

said "yes." We want to test the claim that more than half of the population believes that passwords should be replaced with biometric security. Complete parts (a) through (d) below.

Are any of the three requirements violated? Can a test about a population proportion using the normal approximation method be used?

It was stated that we can easily remember how to interpret P-values with this: "If the P is low, the null must go." What does this mean?

Another memory trick commonly used is this: "If the P is high, the null will fly." Given that a hypothesis test never results in a conclusion of proving or supporting a null hypothesis, how is this memory trick misleading?

Common significance levels are 0.01 and 0.05. Why would it be unwise to use a significance level with a number like 0.0483?

A. The sample observations are not a random sample, so a test about a population proportion using the normal approximating method cannot be used
B. All of the conditions for testing a claim about a population proportion using the normal approximation method are satisfied, so the method can be us
c. One of the conditions for a binomial distribution are not satisfied, so a test about a population proportion using the normal approximating method ca
be used
D. The conditions np2 5 and nq 2 5 are not satisfied, so a test about a population proportion using the normal approximation method cannot be used

In a certain survey, ST peopie chose lo Tespona to tNis question. Should passwords be repiaced with
DION
respondents, 55% said "yes." We want to test the claim that more than half of the population believes that
Complete parts (a) through (d) below.
b. It was stated that we can easily remember how to interpret P-values with this: "If the P is low, the null mu
A. This statement means that if the P-value is very low, the alternative hypothesis should be rejected
B. This statement means that if the P-value is not very low, the null hypothesis should be rejected
C. This statement means that if the P-value is very low, the null hypothesis should be rejected
D. This statement means that if the P-value is very low, the null hypothesis should be accepted.

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