When doing hypothesis testing in the real world • A. the researcher knows when the effects are real, but does not know when they are not real. • B. the researcher rarely knows the population parameters • C. the researcher knows when he or she has made a Type I error. • D. the researcher knows when he or she has made a Type II error.
For doing the hypothesis testing in the real world under a given level of significance the researcher can know the probability of making a type I or type I error but not know when they have made it.
in the real world they rarely know the population parameters because the population concerned is very large and it is nearly impossible to sample the whole population.
So option B is correct.
When doing hypothesis testing in the real world • A. the researcher knows when the effects...
In hypothesis testing, if the null hypothesis has NOT been rejected when the alternative hypothesis is true, a. a Type II error has been committed b. a Type I error has been committed c. the correct decision has been made d. either a Type I or Type II error has been committed
A researcher claims that 45% of students drop out of college. She conducts a hypothesis test and rejects the null hypothesis. What type of error could have been committed here? A. Power of the test B. Type II C. There are never errors in hypothesis testing D. Type I
The term "error" is used two different ways in hypothesis testing: 1) Type I error (or Type II) and 2) standard error. What can a researcher do to influence the size of the standard error? Does this action have any effect on the probability of a Type I error? What can a researcher do to influence the probability of a Type I error? (4 points)
1. In testing hypotheses, the researcher initially assumes that the alternative hypothesis is true and uses the sample data to reject it. True False 2. The first step in testing a hypothesis is to establish a true null hypothesis and a false alternative hypothesis. True False 6. The power curve provides the probability of Correctly accepting the null hypothesis Incorrectly accepting the null hypothesis Correctly rejecting the alternative hypothesis Correctly rejecting the null hypothesis 7. Suppose that Ho: μ ≤...
Assignment #9 Hypothesis Testing Briefly explain in your own words the advantage of using an alpha level (a) .01 versus an a .05. In general, what is the disadvantage of using a smaller alpha level? 9.1 9.2 Discuss in your own words the errors that can be made in hypothesis testing. What is a type I error? Why might it occur? What is a type Il error? How does it happen? а. b. The term error is used in two...
You are testing the null hypothesis µ=150 versus the two tailed alternative. You reject the null hypothesis in favor of the alternative hypothesis. If in reality, µ does equal 150, you have made a : A. Correct Decision B. Type II Error C. Type I Error
1) After a scientist conducts research and reaches a conclusion about the null hypothesis, is there any way for the scientist to know if he/she has made either a Type I or Type II error? If there is a way for the scientist to know, explain what that is and how it will show the scientist if he/she made either type of error. If there is NOT a way for the scientist to know, explain why not. NOTE: When giving...
6. Which of the following statements about hypothesis testing are true? • A type I error occurs if H, is rejected when it is true. • A type II error occurs if He is rejected when it is true. • The power of a test is the probability of failing to reject H, when it is false.
ESAND ABUSES 1 Uses Hypothesis Testing Hypothesis testing is important in many different fields because it gives a scientific procedure for assessing the validity of a claim about a population. Some of the concepts in hypothesis testing are intuitive, but some are not. For instance, the American Journal of Clinical Nutrition suggests that eating dark chocolate can help prevent heart disease. A random sample of healthy volunteers were assigned to eat 3.5 ounces of dark chocolate each day for 15...
If in reality (i.e., nature) the null is true, but the research rejects the null hypothesis, the researcher has made a _____________. a. Type I Error b. Type II Error c. Correct conclusion and Power has been found d. Potentially correct conclusion