A manufacturing company regularly conducts quality control checks at specified periods on the products it manufactures. Historically, the failure rate for LED Ilight bulbs that the company manufactures is 17%. Suppose a random sample of 10 LED light bulbs is selected. Complete parts (a) through (d) below. The probability that none of the LED light bulbs are defective is 0.1552 (Type an integer or a decimal. Round to four decimal places as needed.) b. What is the probability that exactly one of the LED light bulbs is defective? The probability that exactly one of the LED light bulbs is defective is 0.3177. (Type an integer or a decimal. Round to four decimal places as needed.) c. What is the probability that three or fewer of the LED light bulbs are defective? The probability that three or fewer of the LED light bulbs are defective is 0.9258 (Type an integer or a decimal. Round to four decimal places as needed.) d. What is the probability that four or more of the LED light bulbs are defective? The probability that four or more of the LED light bulbs are defective is ||

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.