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Of those women who are diagnosed to have early stage breast cancer, one-third eventually die of the disease. Suppose a screening program for the
Of those women who are diagnosed to have early stage breast cancer, one-third eventually die of the disease. Suppose a screening program for the early detection of breast cancer was started in order to increase the survival rate p of those diagnosed to have the disease. A random sample of 200 women was selected from among those who were screened by the program and who were diagnosed to have the disease. Let x represent the number of those in the sample who survive the disease. OH: p (a) (b) (c) l!! USE SALT If you wish to determine whether the community screening program has been effective, state the alternative hypothesis that should be tested. State the null hypothesis. If 190 women in the sample of 200 survive the disease, can you conclude that the community screening program was effective? Test using a = 0.05. Find the test statistic and the rejection region. (Round your answers to two decimal places. If the test is one-tailed, enter NONE for the unused region.) test statistic rejection region State your conclusion and explain the practical conclusions from your test. is rejected. There is sufficient evidence to indicate that p is greater than is rejected. There is insufficient evidence to indicate that p IS greater than . The screening program seems to increase the survival rate. . The screening program does not seem to increase the survival rate. is not rejected. There is sufficient evidence to indicate that p is greater than is not rejected. There is insufficient evidence to indicate that p is greater than Find the p-value for the test. (Round answer to four decimal places. p-val ue = Interpret the p-value. Since the p-value is greater than 0.10, the results are not statistically significant. . The screening program seems to increase the survival rate. . The screening program does not seem to increase the survival rate. Since the p-value is between 0.05 and 0.10, the results are tending toward statistical significance. Since the p-value is between 0.01 and 0.05, the results are statistically significant. Since the p-value is less than 0.01, the results are highly significant.
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