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...
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
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. Explain a Type II error and power in context of choosing a smaller level of significance. b. Explain a Type II error and power in context of a greater difference between the null hypothesis claim and the true value of the population parameter.
Question 15 1 pts A while a effect error refers to finding an effect when there really is no effect error refers to not finding an effect when there really is an Type I; Type 11 Type II; Type Type I; Type III Type III; Type II
When a false null hypothesis is not rejected, a.we commit a type i error b. we choose the wrong alpha c. we commit a type ii error d. we commit a type ii error e.we rely on the p value to see the probability of the null hypothesis being correct
please show your work...................... 14. a. Probability of making a Type I error b. Probability of making a Type Il error c. Probability of rejecting Ho when you are supposed to d. Probability of not rejecting Ho when you shouldn't. Which of the following probabilities is equal to the significance level a? 15. If we reject the null hypothesis when it is false, then we have committed a. a Type ll error b. a Type l error both a Type...
Which of the following will increase the power of a significance test? (A) Increase the Type II Error probability (B) Increase the significance level alpha (C) Select a value for the alternative hypothesis closer to the value of the null hypothesis (D) Decrease the sample size. (E) Reject the null hypothesis only if the P-value is smaller than the level of significance.
QUESTION 5 The power of the statistical test is zero (0) when the mean is 52, the sample size is 25, and the standard deviation is 2, and the probability of committing Type II error when P is one (1) (previous problem). True False 5 5