Suppose that the true mean,µ1, of an incoming lot of steel bars is 9,050.What is the probability that the quality control inspector will not reject the bars as being what he thinks is the true mean of 9,000 psi,where 9000 is µ0 ? What is the probability of making a type II (beta) error ? Shade this area in on your diagram .The number of observations in the sample is 169.The population standard deviation, σ,is 260 psi.Choose a confidence interval of 98%.What is the probability of not making a type II error, the Power of the Test ? Can you continue on and do a type I,α, error hypothesis test ? Why or why not? This is a Two tail test- H0:µ0=9000 H1: µ0 ≠ 9000

MATLAB: An Introduction with Applications
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"Suppose that the true mean1, of an incoming lot of steel bars is  9,050.What is the probability that the quality control inspector will not reject the bars as being what he thinks is the true mean of 9,000 psi,where 9000 is µ0 ? What is the probability of making a type II (beta) error ? Shade  this area in on your  diagram .The number of observations in the sample is 169.The population standard deviation, σ,is 260 psi.Choose a confidence interval of  98%.What is the probability of not making a type II error, the Power of the Test ? Can you continue on and do a type I,α, error hypothesis test ? Why or why not?

This is a  Two tail test-

H00=9000

H1: µ0 ≠ 9000

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