A manufacturer of light bulbs may want to be reasonably certain that less than 3% of the bulbs are defective. Suppose 300 bulbs are randomly selected from a very large shipment. Each tested and 10 defective bulbs are found. Does this provide sufficient evidence for the manufacturer to conclude that the fraction defective in the entire shipment is less than 0.03? The correct conclusion at 1% significance level if the test statistic value is 0.3384, is: A. Fail to accept the null hypothesis, the fraction defective in the entire shipment is at least 0.03. B. Do not reject null hypothesis, the fraction defective in the entire shipment is at least 0.03. C. Do not reject null hypothesis, the fraction defective in the entire shipment is less than 0.03. D. Fail to accept the null hypothesis, the fraction defective in the entire shipment is less than 0.03.
A manufacturer of light bulbs may want to be reasonably certain that less than 3% of the bulbs are defective. Suppose 300 bulbs are randomly selected from a very large shipment. Each tested and 10 defective bulbs are found. Does this provide sufficient evidence for the manufacturer to conclude that the fraction defective in the entire shipment is less than 0.03? The correct conclusion at 1% significance level if the test statistic value is 0.3384, is: A. Fail to accept the null hypothesis, the fraction defective in the entire shipment is at least 0.03. B. Do not reject null hypothesis, the fraction defective in the entire shipment is at least 0.03. C. Do not reject null hypothesis, the fraction defective in the entire shipment is less than 0.03. D. Fail to accept the null hypothesis, the fraction defective in the entire shipment is less than 0.03.
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 manufacturer of light bulbs may want to be reasonably certain that less than 3% of the bulbs are defective. Suppose 300 bulbs are randomly selected from a very large shipment. Each tested and 10 defective bulbs are found. Does this provide sufficient evidence for the manufacturer to conclude that the fraction defective in the entire shipment is less than 0.03? The correct conclusion at 1% significance level if the test statistic value is 0.3384, is:
- A. Fail to accept the null hypothesis, the fraction defective in the entire shipment is at least 0.03.
- B. Do not reject null hypothesis, the fraction defective in the entire shipment is at least 0.03.
- C. Do not reject null hypothesis, the fraction defective in the entire shipment is less than 0.03.
- D. Fail to accept the null hypothesis, the fraction defective in the entire shipment is less than 0.03.
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