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A janitor at a large office building believes that his supply of light bulbs has too many defective bulbs. The janitor's null hypothesis is that the supply of light bulbs has a defect rate of p=0.07 (the light bulb manufacturer defect rate). Suppose he does a hypothesis test with a significance level of 0.05. Symbolically, the null and alternative hypothesis are as follows Ho: p=0.07 and H₂: p>0.07. The janitor calculates a p-value for the hypothesis test of approximately 0.087. Choose the correct interpretation for the p-value. OA. The p-value tells us that the true population rate of defective light bulbs is approximately 0.087. OB. The p-value tells us that the probability of concluding that the defect rate is equal to 0.07, when in fact it is greater than 0.07, is approximately 0.087. OC. The p-value tells us that if the defect rate is 0.07, then the probability that the janitor will have 27 defective light bulbs out of 300 is approximately 0.087. At a significance level of 0.05, this would not be an unusua outcome. OD. None of these

A janitor at a large office building believes that his supply of light bulbs has too many defective bulbs. The janitor's null hypothesis is that the supply of light bulbs has a defect rate of p=0.07 (the light bulb manufacturer defect rate). Suppose he does a hypothesis test with a significance level of 0.05. Symbolically, the null and alternative hypothesis are as follows Ho: p=0.07 and H₂: p>0.07. The janitor calculates a p-value for the hypothesis test of approximately 0.087. Choose the correct interpretation for the p-value. OA. The p-value tells us that the true population rate of defective light bulbs is approximately 0.087. OB. The p-value tells us that the probability of concluding that the defect rate is equal to 0.07, when in fact it is greater than 0.07, is approximately 0.087. OC. The p-value tells us that if the defect rate is 0.07, then the probability that the janitor will have 27 defective light bulbs out of 300 is approximately 0.087. At a significance level of 0.05, this would not be an unusua outcome. OD. None of these

MATLAB: An Introduction with Applications
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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A janitor at a large office building believes that his supply of light bulbs has too many defective bulbs. The janitor's null hypothesis is that the supply of light bulbs has a defect rate of p = 0.07 (the light bulb manufacturer's stated defect rate). Suppose he does a hypothesis test with a significance level of 0.05. Symbolically, the null and alternative hypothesis are as follows Ho: p=0.07 and Ha: p > 0.07. The janitor calculates a p-value for the hypothesis test of approximately 0.087. Choose the correct interpretation for the p-value. O A. The p-value tells us that the true population rate of defective light bulbs is approximately 0.087. O B. The p-value tells us that the probability of concluding that the defect rate is equal to 0.07, when in fact it is greater than 0.07, is approximately 0.087. O C. outcome. The p-value tells us that the defect rate is 0.07, then the probability that the janitor will have 27 defective light bulbs out of 300 is approximately 0.087. At a significance level of 0.05, this would not be an unusual OD. None of these
Transcribed Image Text:A janitor at a large office building believes that his supply of light bulbs has too many defective bulbs. The janitor's null hypothesis is that the supply of light bulbs has a defect rate of p = 0.07 (the light bulb manufacturer's stated defect rate). Suppose he does a hypothesis test with a significance level of 0.05. Symbolically, the null and alternative hypothesis are as follows Ho: p=0.07 and Ha: p > 0.07. The janitor calculates a p-value for the hypothesis test of approximately 0.087. Choose the correct interpretation for the p-value. O A. The p-value tells us that the true population rate of defective light bulbs is approximately 0.087. O B. The p-value tells us that the probability of concluding that the defect rate is equal to 0.07, when in fact it is greater than 0.07, is approximately 0.087. O C. outcome. The p-value tells us that the defect rate is 0.07, then the probability that the janitor will have 27 defective light bulbs out of 300 is approximately 0.087. At a significance level of 0.05, this would not be an unusual OD. None of these
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