14. Which of the following statements is correct? a. The probability of Type II error is...
14. Which of the following statements is correct?
a. The probability of Type II error is higher when a is .01 rather than .05.
b. The probability of Type I error is higher when a is .01 rather than .05.
c. The probability of Type I and Type II error is not dependent on the a level.
d. When you test a null hypothesis at a = .05, there is a 1 out
of 20 chance of committing a Type I and Type II error.
Homework Answers
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14. Which of the following statements is correct?
a. The probability of Type II error is...
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...
If your study had a power of .80, which of the following statements would be correct?...
If your study had a power of .80, which of the following statements would be correct? a. There is an 80% chance of committing a Type I error b. There is a 20% chance of committing a Type I error c. There is an 80% chance of finding a relationship or difference that actually exists in the real world. d. There is a .80 probability of correctly failing to reject a true 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...
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...
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...
Which of the following statements describe a Type II error? astion 11 yet swered rked out...
Which of the following statements describe a Type II error? astion 11 yet swered rked out of Flag estion Select one: a. Stating that there was an effect when actually there was no effect. O b. Stating that there was no effect when in fact there was an effect. c. Saying that a person is guilty as charged when in fact the person is innocent O d. A researcher rejects a true null hypothesis. RE ion 12 Confidence intervals are...
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.
State whether the following statements true or false, and Why? 1. The type I error and...
State whether the following statements true or false, and Why? 1. The type I error and type II error are related. A decrease in the probability of one generally results in an increase in the probability of the other. 2. The size of the critical region, and therefore the probability of committing a type I error, can always be reduced by adjusting the critical value(s). 3. An increase in the sample size n will reduce α and β simultaneously. 4....
Choose the correct definition of significance level from the list below. A significance level is Option...
Choose the correct definition of significance level from the
list below.
A significance level is
Option 1 and 5 are WRONG
Choose the correct definition of significance level from the list below A significance level is the probability of failing to reject the null hypothesis when the alternative hypothesis is true. the minimum acceptable chance of making a type I error. O the probability that an event occurred as a result of a causative factor rather than by chance. the...
In order to test whether a certain coin is fair, it is tossed ten times and the number of heads (X) is counted. Let p be the "head probability". We wish to test the null hypothesis: p = 0.5 ag...
In order to test whether a certain coin is fair, it is tossed ten times and the number of heads (X) is counted. Let p be the "head probability". We wish to test the null hypothesis: p = 0.5 against the alternative hypothesis: p > 0.5 at a significance level of 5%. (a) Suppose we will reject the null hypothesis when X is smaller than h. Find the value of h. (b) What is the probability of committing a type...
Which of the following statements describe a Type II error? astion 11 yet swered rked out of Flag estion Select one: a. Stating that there was an effect when actually there was no effect. O b. Stating that there was no effect when in fact there was an effect. c. Saying that a person is guilty as charged when in fact the person is innocent O d. A researcher rejects a true null hypothesis. RE ion 12 Confidence intervals are...
Choose the correct definition of significance level from the
list below.
A significance level is
Option 1 and 5 are WRONG
Choose the correct definition of significance level from the list below A significance level is the probability of failing to reject the null hypothesis when the alternative hypothesis is true. the minimum acceptable chance of making a type I error. O the probability that an event occurred as a result of a causative factor rather than by chance. the...
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