Question

Asked Nov 12, 2019

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In a certain survey,

51

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?

Step 1

Hello there! there are more than three subparts in the question. According to our policies we cannot answer more than three sub parts in one question. So please find the solution for a, b and c parts of the question. If you have doubts in remaining part of the question kindly make a new request, mentioning the part in which you need help.

Given data

Sample size n = 51...

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