An oncologist is interested in determining the proportion of cancer patients with initial diagnoses in Stage I, Stage II, or Stage II. He believes that proportions should be uniformly (equally)...

1. Is n hypothesis proportions equal or not equal 2. The expected # of pts in Stage 3 is 12,21 or 15 3. If the test static (x^2) is 4.13, then the p value foe the test is A) .10>p>.05: not significant B) .15>0>.10: not significant C) .15>p>.10; not significant

Extracted text: An oncologist is interested in determining the proportion of cancer patients with initial diagnoses in Stage I, Stage II, or Stage II. He believes that proportions should be uniformly (equally) distributed across each stage. A random sample of n = 45 patients was obtained and the initial diagnosis stage was determined. The observed counts are presented in the table below. NOTE: BE SURE TO VIEW THE COMPLETE TABLE WITH ALL THREE CATEGORIES (Stage l, II, III) Stage I Stage II Stage II Number of 10 14 21 patients Answer the following questions: 1. The null hypothesis is: [Select ] 2. The expected number of patients in Stage III is: [Select] 3. The chi-square (x) component for patients in Stage III is: [Select ] 4. If the test statistic (x) is 4.13 then the p-value for this test is: [ Select ]