In a certain survey, 508 people chose to respond to this question: "Should passwords be replaced with biometric security (fingerprints, etc)?" Among the respondents, 53% said "yes." We want to test...


In a certain survey, 508 people chose to respond to this question:

Extracted text: In a certain survey, 508 people chose to respond to this question: "Should passwords be replaced with biometric security (fingerprints, etc)?" Among the respondents, 53% 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. %3D a. Are any of the three requirements violated? Can a test about a population proportion using the normal approximation method be used? O A. The conditions np 25 and nq 25 are not satisfied, so a test about a population proportion using the normal approximation method cannot be used. O B. The sample observations are not a random sample, so a test about a population proportion using the normal approximating method cannot be used. O C. 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. O D. 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. 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? O A. This statement means that if the P-value is very low, the null hypothesis should be rejected. B. This statement means that if the P-value is very low, the null hypothesis should be accepted. C. This statement means that if the P-value is very low, the alternative hypothesis should be rejected. O D. 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? O A. 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. O B. 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. O C. 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. O D. This statement seems to suggest that with a high P-value, the alternative hypothesis has been rejected, but this conclusion cannot be made. 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? O A. Significance levels must always end in a 1 or a 5. Click to select your answer. MacBook Pro 吕0 O00 O00O 888 esc %23 %24 de 4. 6. 9. Y. F G K D. w/
O B. This statement means that if the P-value is very low, the null hypothesis should be accepted.<br>OC. This statement means that if the P-value is very low, the alternative hypothesis should be rejected.<br>D. This statement means that if the P-value is not very low, the null hypothesis should be rejected.<br>C. Another memory trick commonly used is this:

Extracted text: O B. This statement means that if the P-value is very low, the null hypothesis should be accepted. OC. This statement means that if the P-value is very low, the alternative hypothesis should be rejected. D. 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? O A. 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. B. 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. OC. 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. O D. This statement seems to suggest that with a high P-value, the alternative hypothesis has been rejected, but this conclusion cannot be made. 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? O A. Significance levels must always end in a 1 or a 5. OB. Choosing this specific of a significance level could give the impression that the significance level was chosen specifically to reach a desired conclusion. O C. Choosing a more specific significance level will make it more difficult to reject the null hypothesis. O D. A significance level with more than 2 decimal places has no meaning. Click to select your answer. MacBook Pro 888 esc %23 %24 R. Y. A H. K V. 36 MOSISO M. ST
Jun 02, 2022
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