6. Which of the following statements about hypothesis testing are true? • A type I error...

Question

Question

6. Which of the following statements about hypothesis testing are true? • A type I error occurs if H, is rejected when it is

math Statistics-And-Probability

Add a comment Improve this question Transcribed image text

Answer 1

Answer #1

Solution:.

A type 1 error occurs if H0 is rejected when it is true.

This is the correct statement.

Since, The testing of hypothesis, we reject H0. when it is true, its a type 1 error occurs.

Add a comment

Answer 2

Similar Homework Help Questions

6. Which of the following statements about hypothesis testing are true? • A type I error...

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,
Which of the following statements about hypothesis testing are true? - A type 1 error occurs...

Which of the following statements about hypothesis testing are true? - A type 1 error occurs if is rejected when it is true - A type 2 error occurs if is rejected when it is true - The power of a test is probability of failing to reject when it is false We were unable to transcribe this imageWe were unable to transcribe this imageWe were unable to transcribe this image
Which of the following is a TRUE statement about hypothesis testing? The probability of a Type...

Which of the following is a TRUE statement about hypothesis testing? The probability of a Type I error plus the probability of a Type II error always equals one. The power of a test concerns its ability to detect a null hypothesis. If there is sufficient evidence to reject a null hypothesis at the 5% level, then there is sufficient evidence to reject it at the 10% level. Whether to use a one-sided or a two-sided test is typically decided...

α is the probability of a Type I error, which occurs when we accept the alternative...

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...
| A type I error occurs when: a true hypothesis is rejected a true hypothesis is...

| A type I error occurs when: a true hypothesis is rejected a true hypothesis is not rejected a false hypothesis is rejected a false hypothesis is not rejected
a Which of the following statements is most appropriate for describing the Null &nbsp

a Which of the following statements is most appropriate for describing the Null Hypothesis? i. The experimental treatment does not affect the outcome of the experiment. ii. The experimental treatment does affect the outcome. iii. The Null Hypothesis is the research hypothesis. iv. None of the above statements are correct. _____ b. In a Hypothesis Test, a Type 2 Error (a false negative) occurs when: i. Reject a false null hypothesis ...

1. Which of the following statements are not generally true? a. A type I error is...

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...
Which of the following statements is FALSE? a.) The power of a hypothesis test is the...

Which of the following statements is FALSE? a.) The power of a hypothesis test is the probability of not making a Type II error. b.) Alpha (α) is equal to the probability of making a Type I error. c.) The probability of rejecting the null hypothesis when the null hypothesis is true is called a Type I Error. d.) A smaller sample size would increase the effectiveness of a hypothesis test.
Which of the following statements is true about the P-value? A. It is the probability of...

Which of the following statements is true about the P-value? A. It is the probability of committing type I error and it is the smallest significant level at which a null hypothesis would be rejected B. It is the probability of committing type I error and it is the largest significant level at which a null hypothesis would be rejected C. It is the probability of committing type II error and it is the smallest significant level at which a...

In hypothesis testing, which of the following results in a type I error? Rejecting a true...

In hypothesis testing, which of the following results in a type I error? Rejecting a true null hypothesis Rejecting a true alternative hypothesis Rejecting a false null hypothesis Rejecting a false alternative hypothesis

6. Which of the following statements about hypothesis testing are true? • A type I error...

Homework Answers