Quality control staff wish to estimate what proportion p of the resistors made in their factory are being scrapped due to defects. They observe a random sample of n = 750 resistors from the production line and calculate the sample proportion of scrapped resistors to be pˆ = 0.016. Use this information and the statistical tables provided in the statistics table to determine an approximate range a such that the sample proportion pˆ from a sample of this size will lie within a of p with confidence level 99%, that is, such that Pr(|pˆ − p| < a) =
Quality control staff wish to estimate what proportion p of the resistors made in their factory are being scrapped due to defects. They observe a random sample of n = 750 resistors from the production line and calculate the sample proportion of scrapped resistors to be pˆ = 0.016. Use this information and the statistical tables provided in the statistics table to determine an approximate range a such that the sample proportion pˆ from a sample of this size will lie within a of p with confidence level 99%, that is, such that Pr(|pˆ − p| < a) =
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Quality control staff wish to estimate what proportion p of the resistors made in their factory are being scrapped due to defects. They observe a random sample of n = 750 resistors from the production line and calculate the sample proportion of scrapped resistors to be pˆ = 0.016.
Use this information and the statistical tables provided in the statistics table to determine an approximate
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