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
Which of the following statements about hypothesis testing are true? - A type 1 error occurs...
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,
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...
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...
| 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
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.
A Type II error occurs in hypothesis testing when we _____________________________. fail to reject the null hypothesis and the null hypothesis is not true reject the null hypothesis and the null hypothesis is true fail to reject the alternative hypothesis and the alternative hypothesis is not true reject the alternative hypothesis and the alternative hypothesis is true
Which of the following statements are true about the significance level a of a test? 1. It is the probability that we fail to reject Ho when it is false. II. It is the probability that we reject Ho when it is true. III. The probability for us to make a Type Il error is 1 - a. O ll only o Tonly O all are true O II and III O III only
QUESTION 1 A type Il error occurs if we fail to reject the null hypothesis when it is false. True False QUESTION 2
Determine whether the following statements are true or false. If the statement is false, then explain why the statement is false or rewrite the statement so that it is true. A Type I error in a hypothesis test occurs when we fail to reject the null hypothesis when the null hypothesis is actually false. A Type II error occurs when we reject the null hypothesis when the null hypothesis is actually true.