Please help with part d in bold below. In a certain survey, 519 people chose to respond to this question: "Should passwords be replaced with biometric security (fingerprints, etc)?" Among...

Please help with part d in bold below.

In a certain survey,

519

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

54%

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.

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

All of the conditions for testing a claim about a population proportion using the normal approximation method are satisfied, so the method can be used.

The sample observations are not a random sample, so a test about a population proportion using the normal approximating method cannot be used.

Your answer is correct.

The conditions

np≥5

and

nq≥5

are not satisfied, so a test about a population proportion using the normal approximation method cannot be used.

One of the conditions for a binomial distribution are not satisfied, so a test about a population proportion using the normal approximating method cannot be used.

b. 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?

This statement means that if the P-value is very low, the null hypothesis should be rejected.

Your answer is correct.

This statement means that if the P-value is very low, the null hypothesis should be accepted.

This statement means that if the P-value is very low, the alternative hypothesis should be rejected.

This statement means that if the P-value is not very low, the null hypothesis should be rejected.

c. 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?

This statement seems to suggest that with a low P-value, the null hypothesis has been proven or is supported, but this conclusion cannot be made.

This statement seems to suggest that with a high P-value, the alternative hypothesis has been proven or is supported, but this conclusion cannot be made.

This statement seems to suggest that with a high P-value, the alternative hypothesis has been rejected, but this conclusion cannot be made.

This statement seems to suggest that with a high P-value, the null hypothesis has been proven or is supported, but this conclusion cannot be made.

Your answer is correct.

d. 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 significance level with more than 2 decimal places has no meaning.

Choosing this specific of a significance level could give the impression that the significance level was chosen specifically to reach a desired conclusion.

Choosing a more specific significance level will make it more difficult to reject the null hypothesis.

Significance levels must always end in a 1 or a 5.

Jun 08, 2022

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Please help with part d in bold below. In a certain survey, 519 people chose to respond to this question: "Should passwords be replaced with biometric security (fingerprints, etc)?" Among...

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Please help with part d in bold below. In a certain​ survey, 519 people chose to respond to this​ question: "Should passwords be replaced with biometric security​ (fingerprints, etc)?" Among...

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Submit New Assignment

Please help with part d in bold below. In a certain survey, 519 people chose to respond to this question: "Should passwords be replaced with biometric security (fingerprints, etc)?" Among...