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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