Suppose a cancer treatment successfully cures the disease in 67% of cases. An oncologist is developing a new treatment that they feel will cure this cancer at a higher rate. To test the hypothesis...


Suppose a cancer treatment successfully cures the disease in 67% of cases. An oncologist is developing a<br>new treatment that they feel will cure this cancer at a higher rate.<br>To test the hypothesis that the new treatment is more successful than the previous treatment, a random<br>sample of 20 people is collected.<br>• If the number of people in the sample that are cured is less than 16, we will not reject the null<br>hypothesis that p<br>Otherwise, we will conclude that p > 0.67.<br>0.67.<br>Round all answers to 4 decimals.<br>1. Calculate a =<br>P(Type I Error) assuming that p<br>0.67. Use the Binomial Distribution.<br>2. Calculate B = P(Type II Error) for the alternative p = 0.82. Use the Binomial Distribution.<br>3. Find the power of the test for the alternative p<br>0.82. Use the Binomial Distribution.<br>

Extracted text: Suppose a cancer treatment successfully cures the disease in 67% of cases. An oncologist is developing a new treatment that they feel will cure this cancer at a higher rate. To test the hypothesis that the new treatment is more successful than the previous treatment, a random sample of 20 people is collected. • If the number of people in the sample that are cured is less than 16, we will not reject the null hypothesis that p Otherwise, we will conclude that p > 0.67. 0.67. Round all answers to 4 decimals. 1. Calculate a = P(Type I Error) assuming that p 0.67. Use the Binomial Distribution. 2. Calculate B = P(Type II Error) for the alternative p = 0.82. Use the Binomial Distribution. 3. Find the power of the test for the alternative p 0.82. Use the Binomial Distribution.

Jun 08, 2022
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