Answer Happy

The American Red Cross says that 45% of the U.S. population has Type O blood, 40% Type A, 11% Type B, and 4% Type AB. A random sample of 300 donors at a blood bank yielded the following results: A B 127 17 Blood Type O AB # of people 111 ( ) > 45 ) Conduct a Chi-Square goodness-of-fit test to test the claim that the blood donors distribution follows that of what is reported by the Red Cross. Use a significance level of 0.05 and the p-value to make your decision. Fill in the blanks to show the work involved in the test. Ho: The blood donors distribution does follow that of reported by Red Cross; in other words, P(type 0) = 0.45, P(type A) = 0.40, P(type B) = 0.11 and P(type AB) = 0.04 HA: The blood donors distribution does not follow that of reported by Red Cross (i.e., at least one proportion different than what is listed in the null)

Blank #1: Compute the expected values of each cell in the table (what should go in the () for each). Give the four expected values as a list of four items with a comma separating each and no extra spaces. Order them same as the types: O,A,B,AB. Blank #2: Report the test statistic to two decimal places. Blank #3: Report the p-value to four decimal places Blank #4: Give the test decision: (reject or do not reject) H0 Blank #5: Evidence (favors or does not favor) that the blood donors distribution does not follow that reported by the Red Cross