The term "error" is used two different ways in hypothesis testing: 1) Type I error (or...
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...
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.
6. Which of the following statements about hypothesis testing are true? • A type I error occurs if His rejected when it is true. • A type II error occurs if H, is reject ed 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...
Which of the following is the error term (denominator) used to compute a t-value in an independent samples t-test. Standard error of mean computed based on population standard deviation Standard error of mean difference computed based on standard deviation of mean difference between the two sets of associated scores Standard error of mean computed based on pooled standard deviation of the two samples Standard error of mean computed based on sample standard deviation Any research question that can be answered...
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 ≤...
1. Which of the following statements are not generally true? a. A type I error is usually more serious than a type II error. b. A type II error is usually more serious than a type I error. c. A test with significance level is one for which the type I error probability is controlled at the specified level. d. When an experiment and a sample size are fixed, then decreasing the size of the rejection region to obtain...
1. True or False? In hypothesis testing analysis, a type II error occurs if the null hypothesis H0 is accepted when it is true. 2. True or False? When population is not normal, sampling distribution of ¯x , for a large sample size is normally distributed, irrespective of the shape of the population.
Question 1 1 pts In classical hypothesis testing, what happens to the probability of Type II Error as we increase the significance level of the test (a)? P(Type II Error) Decreases P(Type II Error) Increases P(Type II Error) Stays the Same
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.