When a null hypothesis can be rejected by an extreme result in one direction only, a two-tail test is appropriate. a) True b) False
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When a null hypothesis can be rejected by an extreme result in one direction only, a two-tail test is appropriate.
a) True
b) False
Step by step
Solved in 2 steps
- a) Carefully define the null and alternative hypotheses of the ?2 test of the above table. b) Find the missing values ‘*’, ‘**’, ‘***’ ??, ??? c) What is the conclusion of this test? Give reasons for your answer.Which set of numbers would correspond to a hypothesis test with the greatest power? Cohen's d = 0.6 & n = 500 O Cohen's d = 0.6 & n = 50 O Cohen's d = 0.5 & n = 50 O Cohen's d = 0.5 & n = 5001 - find the p-value 2 - reject or fail to reject null hypothesis?
- Part C, D and E please, Thank You! D) What is the null hypothesis? E) Reject the null hypothesis because the P-value is greater than the significant level, a Reject the null hypthosesis because the P-value is less than or equal to the significant level, a Fail to reject the null hypothesis because the P-value is greater than or equal to the significant level, a Fail to reject the null hypothesis because the P-Value is greater than the significant level, aIN A TWO TAIL TEST FOR THE POPU;ATION MEAN IF THE NULL HYPOTHESIS IS REJECTED WHEN THE ALTERNATIVE IS TRU , THEN:2 A type I error occurs when a false null hypothesis is not rejected. Select one: True False
- 19. A campaign team for a candidate running for local office uses a random survey. They are interested in using a hypothesis test to see if there is strong evidence that their candidate will obtain more than 50% of the vote and win the election. Which of the following descriptions would represent a Type I error? d) e) a) b) c) The campaign team rejects the null hypothesis and concludes that the candidate will win more than 50% of the vote, but then the candidate loses the election. The campaign team fails to reject the null hypothesis and concludes that there is not enough evidence to conclude that their candidate has more than 50% of the vote, but then the candidate wins the election. The campaign team fails to reject the null hypothesis and concludes that the candidate will win more than 50% of the vote, but then the candidate loses the election. The campaign team rejects the null hypothesis and concludes that there is not enough evidence to conclude that their candidate has more…In Bloomington, they randomly sampled 260 female voters, and 190 male voters. They collected data on the respondent's opinion on an environmental bond issue. We want to know whether there is good evidence that one's gender influences whether a person is for or against the bond issue. Use α = 0.05. For Bond Issue Against Bond Issue Total 52 260 17 190 69 450 Men Women Total a) What is the correct null hypothesis? O Ho: P₁ P2 P3 P4 O Ho: P₁ P2 = P3 P4 O Ho: Gender and Bond Issue Attitudes are Independent. O Ho: Gender and Bond Issue Attitudes are dependent. b) Fill in the expected values, round answers to 1 decimal place. For Bond Issue Against Bond Issue Expected Values Men Women c) Chi Square Test Statistic = 208 173 381 Degree's of Freedom = d) The p-value = 1 decimal place 3 decimal places e) What is the correct conclusion? O Because the p-value is greater than alpha, we reject the Ho. There is statistical evidence that attitudes on the bond issue are dependent on gender. O Because…What is also the rejection criteria?
- 1- Type II error occurs when a false null hypothesis is not rejected Select one: True FalseA scientist has read that the mean birth weight, u, of babies born at full term is 7.5 pounds. The scientist, believing that u is different from this value, plans to perform a statistical test. She selects a random sample of birth weights of babies born at full term and finds the mean of the sample to be 7.9 pounds and the standard deviation to be 1.6 pounds. Based on this information, answer the questions below.All test of hypothesis are based on the assumptions that A. The null hypothesis is true B. The observed difference is important c. The null hypothesis is false and should be rejected D. Type l errors are more serious than type ll errors E. None of the above
