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- When defining the hypothesis, we present… a. None of the responses b. The null hypothesis only c. The alternative hypothesis only d. The null and alternative hypothesesType I and Type II Errors. Please discuss Type I and Type II errors. What are they? Discuss their relationship with hypothesis testing.When a true null hypothesis is rejected in a hypothesis test, the researcher or analyst hasA. committed a Type I errorB. committed a Type II errorC. made the correct decision.D. to perform the study again.
- 3)Suppose we are testing a null hypothesis against a two-sided alternative, then the alternative can be written as: A. E(Y) > μY,0 B. E(Y) = μY,0 C. ≠ μY,0 D. E(Y) ≠ μY,0When a true null hypothesis is rejected in a hypothesis test, the researcher or analyst hasA. committed a Type I errorB. committed a Type II errorC. made the correct decision.D. to perform the study again.asapIf a police officer wants to find whether the average speed of motorists a highway with speed limit of 55 , the null hypothesis is 55 . true false justify it
- what are the general steps in testing statistical hypothesisState whether you made a Type I error, a Type II error, or the correct conclusion. Children in your community have on average less than 5.2 books at home, and you fail to reject the hypothesis that they have greater than or equal to 5.2 books.What are the warnings of using the OLS approach to hypothesis testing? Discuss.
- I have data on the mean price charged for knee replacements (the variable is called, meancharge) at a sample of US hospitals. In STATA, I test whether mean price charge for knee replacement in the population is less than $42.500. The output is shown here. Which of the following statements is false? O. I cannot reject the null hypothesis at the 5% significance level. O. I cannot reject the null hypothesis at the 10% significance level. O. I reject the null hypothesis at the 10% significance level. O. I cannot reject the null hypothesis at the 1% significance level.7 Which of the following statements about Type I and Type II errors is correct: a Type I: Do not reject a false null hypothesis. Type II: Reject a true null hypothesis. b Type I: Reject a false null hypothesis. Type II: Reject a true null hypothesis. c Type I: Reject a true null hypothesis. Type II: Do not reject a false null hypothesis. d Type I: Reject a true alternative hypothesis. Type II: Do not reject a false alternative.State whether you made a Type I error, a Type II error, or the correct conclusion. b. Children in your community have on average greater than or equal to 5.2 books at home, and you reject the hypothesis that they have greater than or equal to 5.2 books.