Question

In: Statistics and Probability

1. A Type I error occurs when we: A. reject a true null hypothesis B. reject...

1. A Type I error occurs when we:
A. reject a true null hypothesis
B. reject a false null hypothesis
C. do not reject a false null hypothesis
D. do not reject a true null hypothesis

2. Whenever the null hypothesis is not rejected, the alternative hypothesis:
A. is true
B. must be modified
C. is rejected
D. is not rejected

Solutions

Expert Solution

1) Option-A) reject a true null hypothesis

2) Option-C) is rejected

                                                                                                                                                        

orchestra answered 2 years ago
Next > < Previous

Related Solutions

QUESTION 1 A Type II error occurs when we ________. reject the null hypothesis when it...
QUESTION 1 A Type II error occurs when we ________. reject the null hypothesis when it is actually true reject the null hypothesis when it is actually false do not reject the null hypothesis when it is actually false do not reject the null hypothesis when it is actually true QUESTION 2 A lower level of significance makes it harder to reject the null hypothesis. True False QUESTION 3 A professional sports organization is going to implement a test for...
When we reject a null hypothesis, we are certain that the alternative hypothesis is true. True...
When we reject a null hypothesis, we are certain that the alternative hypothesis is true. True or False
True or False section. When we reject the null hypothesis, we have proven the alternative hypothesis...
True or False section. When we reject the null hypothesis, we have proven the alternative hypothesis to be true. There are only two possible conclusions in a hypothesis test: reject or fail to reject the alternative hypothesis. A Type I error is made when a true null hypothesis is rejected. A Type II error is made when we fail to reject a true null hypothesis. The level of significance is the probability of making a Type II error. The probability...
A Type 1 error is defined as: Rejecting a False Null Hypothesis Rejecting a True Null...
A Type 1 error is defined as: Rejecting a False Null Hypothesis Rejecting a True Null Hypothesis Failing to Reject a False Null Hypothesis Failing to Reject a True Null Hypothesis b.) The probability for which a Type 1 error may occur in a hypothesis test is referred to as: Z-value Test Statistic Critical Value Level of Significance c.) A researcher conducts a hypothesis test to evaluate the effect of a treatment. The hypothesis test produces a z-score of z...
when describing Type I error under composite null hypothesis, the å usually we select the maximum...
when describing Type I error under composite null hypothesis, the å usually we select the maximum of the probabilities, can anyone explain this concept for me? here is an example given: Test H0: µ ≤ µ0 v.s. H1: µ > µ0, then the Type I error is described as å= max Pr[reject H0 | µ≤µ0] = Pr[reject H0 | µ=µ0] how is this the maximum of the probabilities?
In hypothesis testing, we can reject a. the null hypothesis. b. the alternative hypothesis. c. both...
In hypothesis testing, we can reject a. the null hypothesis. b. the alternative hypothesis. c. both the null and the alternative hypotheses. d. neither the null and the alternative hypotheses.
22.) We never conclude that null hypothesis is true. a) True b) False 23.) When we...
22.) We never conclude that null hypothesis is true. a) True b) False 23.) When we reject a null hypothesis, we are certain that the alternative hypothesis is true. a) True b) False 24) If a null hypothesis is rejected with a significance level of 0.05, it is also rejected with a significance level of 0.01? a) True b) False c) it might be either 25) If a null hypothesis is rejected with a significance level of 0.01, it is...
True or False A. In hypothesis testing, if you fail to reject the null hypothesis, then...
True or False A. In hypothesis testing, if you fail to reject the null hypothesis, then you have proven the null hypothesis to be true. B. If you are more concerned about a type I error than a type II error in a hypothesis test, it would be better to use ∝= .01 than ∝= .10. C. If you have complete information for a population (from a census), it would be unnecessary and inappropriate to carry out a hypothesis test...
How do we determine if we reject or fail to reject a null hypothesis? What are...
How do we determine if we reject or fail to reject a null hypothesis? What are the key pieces needed when writing a conclusion?
How do we determine if we reject or fail to reject a null hypothesis? What are...
How do we determine if we reject or fail to reject a null hypothesis? What are the key pieces needed when writing a conclusion?
ADVERTISEMENT
Subjects
ADVERTISEMENT
Latest Questions
ADVERTISEMENT