In a certain survey,51people 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 usedB. All of the conditions for testing a claim about a population proportion using the normal approximation method are satisfied, so the method can be usc. One of the conditions for a binomial distribution are not satisfied, so a test about a population proportion using the normal approximating method cabe usedD. 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 withDIONrespondents, 55% said "yes." We want to test the claim that more than half of the population believes thatComplete 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 muA. This statement means that if the P-value is very low, the alternative hypothesis should be rejectedB. This statement means that if the P-value is not very low, the null hypothesis should be rejectedC. This statement means that if the P-value is very low, the null hypothesis should be rejectedD. This statement means that if the P-value is very low, the null hypothesis should be accepted.

Name: In a certain survey,51people chose to respond to this question: "Sho
Uploaded: 2024-03-20T07:07:12.000Z
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Description: In a certain survey,51people 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 beli

Question

In a certain​ survey,51people chose to respond to this​ question: &#34;Should passwords be replaced with biometric security​ (fingerprints, etc)?&#34; Among the​ respondents,55%said​ &#34;yes.&#34; 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: &#34;If the P is​ low, the null must​ go.&#34; What does this​ mean? Another memory trick commonly used is​ this: &#34;If the P is​ high, the null will​ fly.&#34; 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 usedB. All of the conditions for testing a claim about a population proportion using the normal approximation method are satisfied, so the method can be usc. One of the conditions for a binomial distribution are not satisfied, so a test about a population proportion using the normal approximating method cabe usedD. 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 withDIONrespondents, 55% said &#34;yes.&#34; We want to test the claim that more than half of the population believes thatComplete parts (a) through (d) below.b. It was stated that we can easily remember how to interpret P-values with this: &#34;If the P is low, the null muA. This statement means that if the P-value is very low, the alternative hypothesis should be rejectedB. This statement means that if the P-value is not very low, the null hypothesis should be rejectedC. This statement means that if the P-value is very low, the null hypothesis should be rejectedD. This statement means that if the P-value is very low, the null hypothesis should be accepted.

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