When analyzing the accuracy of a machine classifier for cancer tissues, 16 of the 500 random samples were mis-classified. Use the data to test the hypotheses at 5% level of significance.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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1. When analyzing the accuracy of a machine
classifier for cancer tissues, 16 of the 500
random samples were mis-classified. Use the
data to test the hypotheses at 5% level of
significance.
H0: p = 0.04
H1: p + 0.04
Use the P-value method & show all computations and
relevant information (test statistics, critical value,
degree of freedom, etc.)
In Ques #1, determine the probability of the
following error:
Pr ( mis-classification error is below 3%,
3.
when the mis-classification error is 4% )
Transcribed Image Text:1. When analyzing the accuracy of a machine classifier for cancer tissues, 16 of the 500 random samples were mis-classified. Use the data to test the hypotheses at 5% level of significance. H0: p = 0.04 H1: p + 0.04 Use the P-value method & show all computations and relevant information (test statistics, critical value, degree of freedom, etc.) In Ques #1, determine the probability of the following error: Pr ( mis-classification error is below 3%, 3. when the mis-classification error is 4% )
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