Alpha refers to __________.
A
Statistical power
B
The probability of making a Type II error
C
The probability of making a Type I error
D
Effect size
alpha refers to probability of making type 1 error which tells the probability of rejecting the null hypothesis when it is true.
When the null hypothesis is true and you reject it, you make a type I error. The probability of making a type I error is α, which is the level of significance you set for your hypothesis test. Suppose for example, an α of 0.05 indicates that you are willing to accept a 5% chance that you are wrong when you reject the null hypothesis.
Correct option is C
Alpha refers to __________. A Statistical power B The probability of making a Type II error...
Compute the statistical power Type II error rate 0.25 sample size 100 alpha level 0.01
compute the statistical power: Type II error rate 0.25 sample size 100 and alpha level 0.01
If alpha is the probability of committing a Type I error and β is the probability of committing a Type II error in a hypothesis test, the power of the test is given by __________. A. (1 – β) B. β C. alpha D. 1 - alpha)
As the Type II error, β,of a statistical test increases, the power of the test _____________. increases decreases stays the same randomly fluctuates
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.
True or False? The probability of a Type I error (a) and Type (II) error (B) are complementary and total to 1. a. True b. False
If the type II error rate of a statistical hypothesis test is estimated to be .3, what would the statistical power of the test be? .5 .85 .70 .30
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...
Statistical inference brings to the scientific method an ability to know the probability of being correct (or incorrect) in reaching uncertain conclusions. A. In confidence interval estimation, the probability of being correct is the confidence level, 1 – alpha. B. In hypothesis testing, the probability of making a Type I error is the significance level, alpha C. The first statement above is true. D. Both statements above are true.
a smaller probability of type II error implies higher power of the test. true or false