Red Blood Cell Count: A simple random sample of 40 adult males is obtained, and the red blood cell count (in cells per microliter) is measure for each of them, with these results: n = 40 and x-bar = 4.932 million cells per microliter, s = 0.504 million cells per microliter. Use a 0.01 significance level to test the claim that the sample is from a population with a mean less than 5.4 million cells per microliter, which is often used as the upper limit of the range of normal values. Does the result suggest that each of the 40 males has a red blood cell count below 5.4 million cells per microliter? (Assume that this data comes from a normal distribution and the σ is known. : µ:µSignificance Level=ZTest=p-value=Critical Value=Fail to reject or Reject the

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Description: Red Blood Cell Count: A simple random sample of 40 adult males is obtained, and the red blood cell count (in cells per microliter) is measure for each of them, with these results: n = 40 and x-bar = 4.932 million cells per microliter, s = 0.504 milli

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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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Red Blood Cell Count: A simple random sample of 40 adult males is obtained, and the red blood cell count (in cells per microliter) is measure for each of them, with these results: n = 40 and x-bar = 4.932 million cells per microliter, s = 0.504 million cells per microliter. Use a 0.01 significance level to test the claim that the sample is from a population with a mean less than 5.4 million cells per microliter, which is often used as the upper limit of the range of normal values. Does the result suggest that each of the 40 males has a red blood cell count below 5.4 million cells per microliter? (Assume that this data comes from a normal distribution and the σ is known.

: µ

:µ

Significance Level=

Z_Test=

p-value=

Critical Value=

Fail to reject or Reject the

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