A quality inspector picks a sample of 15 items at random from a manufacturing process known to produce 10% defective items. Let X be the number of defective items found in the random sample of 15 items. Assume that the condition of each item is independent of that of each of the other items in the sample. The probability distribution of X is provided in the excel file. Use simulation to generate 500 values of this random variable X. A) Use simulation to generate 500 values of this random variable X. B) Calculate the mean and standard deviation of the simulated values. How do they compare to the mean and standard deviation of the given probability distribution?  Use excel to help please and attach... Previous writer did not include part A in excel Note: These probabilities were generated by a binomial distribution,. For now, you can just take these probabilities as given. Number of defective items in a random sample of 15 items           # of defectives Probability       0 0.2059       1 0.3432       2 0.2669       3 0.1285       4 0.0428       5 0.0105       6 0.0019       7 0.0003       8 0.0000       9 0.0000       10 0.0000       11 0.0000       12 0.0000       13 0.0000       14 0.0000       15 0.0000

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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A quality inspector picks a sample of 15 items at random from a manufacturing process known to produce 10% defective items. Let X be the number of defective items found in the random sample of 15 items. Assume that the condition of each item is independent of that of each of the other items in the sample. The probability distribution of X is provided in the excel file. Use simulation to generate 500 values of this random variable X.

A) Use simulation to generate 500 values of this random variable X.

B) Calculate the mean and standard deviation of the simulated values. How do they compare to the mean and standard deviation of the given probability distribution? 

Use excel to help please and attach... Previous writer did not include part A in excel

Note: These probabilities were generated by a binomial distribution,. For now, you can just take these probabilities as given.

Number of defective items in a random sample of 15 items
         
# of defectives Probability      
0 0.2059      
1 0.3432      
2 0.2669      
3 0.1285      
4 0.0428      
5 0.0105      
6 0.0019      
7 0.0003      
8 0.0000      
9 0.0000      
10 0.0000      
11 0.0000      
12 0.0000      
13 0.0000      
14 0.0000      
15 0.0000
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