Before the start of the Winter Olympics, it was expected that the percentages of medals awarded to the top contenders to be as follows. $Before the start of the Winter Olympics, it was expected that the percentages of medals awarded to the top contenders to be as follows. Midway through the Olympics, of the 120 medals awarded, the following distribution was observed. We want to test to see if there is a significant difference between the expected and actual awards given. a.Compute the test statistic. b.Using the p-value approach, test to see if there is a significant difference between the expected and the actual values. Let \alpha = .05. c.At 95% confidence, test for a significant difference using the critical value approach.$
Midway through the Olympics, of the 120 medals awarded, the following distribution was observed. $Before the start of the Winter Olympics, it was expected that the percentages of medals awarded to the top contenders to be as follows. Midway through the Olympics, of the 120 medals awarded, the following distribution was observed. We want to test to see if there is a significant difference between the expected and actual awards given. a.Compute the test statistic. b.Using the p-value approach, test to see if there is a significant difference between the expected and the actual values. Let \alpha = .05. c.At 95% confidence, test for a significant difference using the critical value approach.$ We want to test to see if there is a significant difference between the expected and actual awards given.
a.Compute the test statistic.
b.Using the p-value approach, test to see if there is a significant difference between the expected and the actual values. Let

\alpha

= .05.
c.At 95% confidence, test for a significant difference using the critical value approach.

The Following Table Shows the Results of a Study on Smoking

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Correct Answer:Verifieda. Ho: P1 = P1 = P1Ha: N...View AnswerUnlock this answer nowGet Access to more Verified Answers free of chargeView Full Answer For Free

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a. H_o: P₁ = P₁ = P₁
H_a: N...
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