The following are the result of the survey made by the quality control department in a certain company that manufactures watches. The number of defective parts produced by the company has been identified. A random sample of 120 watches was used. Number of Defective Part Number of Watches 50 1 36 2 14 3 13 4 17 a. Assign probability for each number of defective part/s. b. What is the probability that a watch produced has more than 1 defective part? c. What is the probability of producing a perfect watch? d. Compute the expected number of defective parts a watch can have, e. Find the variance and standard deviation of the data.

College Algebra
10th Edition
ISBN:9781337282291
Author:Ron Larson
Publisher:Ron Larson
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 4ECP: Show that the probability of drawing a club at random from a standard deck of 52 playing cards is...
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The following are the result of the survey made by the quality control department in a certain company
that manufactures watches. The number of defective parts produced by the company has been identified.
A random sample of 120 watches was used.
Number of Defective Part
Number of Watches
50
1
36
2
14
3
13
4
17
a. Assign probability for each number of defective part/s.
b. What is the probability that a watch produced has more than 1 defective part?
c. What is the probability of producing a perfect watch?
d. Compute the expected number of defective parts a watch can have,
e. Find the variance and standard deviation of the data.
Transcribed Image Text:The following are the result of the survey made by the quality control department in a certain company that manufactures watches. The number of defective parts produced by the company has been identified. A random sample of 120 watches was used. Number of Defective Part Number of Watches 50 1 36 2 14 3 13 4 17 a. Assign probability for each number of defective part/s. b. What is the probability that a watch produced has more than 1 defective part? c. What is the probability of producing a perfect watch? d. Compute the expected number of defective parts a watch can have, e. Find the variance and standard deviation of the data.
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