Question 1. True
Question 2. False. Because note that failure to reject H0 does not mean the null hypothesis is true. There is no formal outcome that says “accept H0.” It only means that we do not have sufficient evidence to support H1.
Question 1 (1 point) If the null hypothesis is rejected, we conclude that H1 is true....
If a null hypothesis is rejected at a significance level of 1%, then we should say that it was rejected at 1%. Reporting that the null was also rejected at the 5% level of significance is unnecessary and unwise. True or false?
A type I error is where we reject a true null hypothesis (Ho). a. True b. False A type II error is where we fail to reject a false null hypothesis (Ho). a. True b. False A claim may go in either in the Ho (null hypothesis) or Ha (H1, alternate hypothesis) depending on the key words in the statistical word problem. a. True b. False
If a null hypothesis is rejected at a significance level of 1%, then we should say that it was rejected at 1%. Reporting that the null was also rejected at the 5% level of significance is unnecessary and unwise. True False The p-value equals alpha, the level of significance of the hypothesis test. True False THE NEXT QUESTIONS ARE BASED ON THE FOLLOWING INFORMATION: Let X1, X2, X3, and X4 be a random sample of observations from a population with...
Question 1: True or False (2 points each) a) ANOVA tests the null hypothesis that the sample means are all equal. b) A strong case for causation is made in an observational study. c) In rejecting the null-hypothesis, one can conclude that all the means are different from each other d) One-way ANOVA can be used only when there are fewer than five means to be compared. e) The null hypothesis for the Levene’s test for homogeneity of variance is...
If we reject the null hypothesis, we conclude that: there is enough statistical evidence to infer that the alternative hypothesis is true. there is not enough statistical evidence to infer that the alternative hypothesis is true. there is enough statistical evidence to infer that the null hypothesis is true. there is not enough statistical evidence to infer that the null hypothesis is true.
If the null hypothesis is rejected when the null hypothesis is true, what type of error, if any, has been made? Type I error Type II error Correct decision Type error
A Type II error occurs when when a false null hypothesis is rejected. true or false?
If the null hypothesis is rejected when the null hypothesis is true, what type of error, if any, has been made? O O O O Correct decision Type Il error Type I error Type error Click to select your answer.
α is the probability of a Type I error, which occurs when we accept the alternative H1 when the null hypothesis Ho is true. True False A Type II error occurs when when a false null hypothesis is rejected. True False If a null hypothesis is rejected at the 5% significance level but not at the 1% significance level, then the p-value of the test is less than 1%. True False The power of a test is the probability of...
If a null hypothesis is rejected at the 0.10 significance level but not at the 0.05 significance level, then the p-value of the test is between 0.05 and 0.10. True or false?