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 =...


1. When analyzing the accuracy of a machine<br>classifier for cancer tissues, 16 of the 500<br>random samples were mis-classified. Use the<br>data to test the hypotheses at 5% level of<br>significance.<br>H0: p = 0.04<br>H1: p + 0.04<br>Use the P-value method & show all computations and<br>relevant information (test statistics, critical value,<br>degree of freedom, etc.)<br>In Ques #1, determine the probability of the<br>following error:<br>Pr ( mis-classification error is below 3%,<br>3.<br>when the mis-classification error is 4% )<br>

Extracted 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% )

Jun 02, 2022
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