Correct option "True"
Explanation:
In the hypothesis testing we have two type of hypothesis onece is null hypohtesis and another is alternernet hypohtesis
Ho ; Its represenet null hypothesis
Ha ; its represent alternet hypothesis
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
Type I error is: A. Deciding the null hypothesis is true when it is false B. Deciding the alternative hypothesis is true when it is true C. Deciding the null hypothesis is false when it is true D. Deciding the alternative hypothesis is true when it is false E. All of the above F. None of the above Type Il error is: A. Deciding the alternative hypothesis is true when it is true B. Deciding the alternative hypothesis is false...
Question 1 (1 point) If the null hypothesis is rejected, we conclude that H1 is true. True False Question 2 (1.25 points) If the null hypothesis is not rejected, we conclude that Ho is true. True False
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...
True or false. If the p-value is 6%, then we reject the null hypothesis and accept the alternative hypothesis at a significance level of 10% but not at a significance level of 5%. True or false?
TRUE or FALSE: Our null hypothesis for a linear correlation hypothesis test is always that there is no linear correlation.
6. True or False? The null hypothesis indicates that there is no difference while the alternative hypothesis indicates that there is a difference between the means of two groups.
A Type II error occurs when when a false null hypothesis is rejected. true or false?
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.
not rejecting the null hypothesis means that the assigned value under the null is the true population value. true or false