3. An experiment is required to estimate a process's process capability cp parameter to within ±20% of its true value with 95% confidence, i.e. a confidence interval for the population standard deviation of the following form is required: - P(ĉp(1 − 8) < cp < ĉp(1+8)) = 0.95 where cp will be determined from the sample data. Calculate the sample size for the experiment assuming that the distribution is normal.
3. An experiment is required to estimate a process's process capability cp parameter to within ±20% of its true value with 95% confidence, i.e. a confidence interval for the population standard deviation of the following form is required: - P(ĉp(1 − 8) < cp < ĉp(1+8)) = 0.95 where cp will be determined from the sample data. Calculate the sample size for the experiment assuming that the distribution is normal.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 13PPS
Question
![3. An experiment is required to estimate a process's process capability cp parameter to within ±20% of its
true value with 95% confidence, i.e. a confidence interval for the population standard deviation of the
following form is required:
-
P(ĉp(1 − 8) < cp < ĉp(1+8)) = 0.95
where cp will be determined from the sample data. Calculate the sample size for the experiment
assuming that the distribution is normal.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc7559a47-bb34-494d-9e33-22c98791555e%2Fa777df1b-98ff-448c-92e5-7f2f2a340f3b%2Fny0pqvl_processed.jpeg&w=3840&q=75)
Transcribed Image Text:3. An experiment is required to estimate a process's process capability cp parameter to within ±20% of its
true value with 95% confidence, i.e. a confidence interval for the population standard deviation of the
following form is required:
-
P(ĉp(1 − 8) < cp < ĉp(1+8)) = 0.95
where cp will be determined from the sample data. Calculate the sample size for the experiment
assuming that the distribution is normal.
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