In hypothesis testing, why it is more appropriate to use "Fail to reject to Ho" instead of "Accept Ho"?
In hypothesis testing, why it is more appropriate to use "Fail to reject to Ho" instead...
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
In a hypothesis test, α is the probability that we fail to reject Ho when Ho is false. True or false?
1. What are null hypothesis and alternative hypothesis? 2. Inastatisticaltest,wehavethechoiceofatwo-tailedtest,aleft- tailed test, or a right-tailed test. Which hypothesis is the determining factor for choosing the direction of the test? (In other words, how would you decide it) 3. Forthesamesampledataandnullhypothesis,howdoesthe P-value for a two-tailed test compare to that for a one-tailed test? 4. Using P-value method, how would you reject or fail to reject the null hypothesis? (what is the decision criteria?) How does level of significance matter to the hypothesis...
Determine whether to reject or fail to reject Ho at the level of significance of a) a 0.04 and b)a-005 Ho H 102, Ha H102, and P- 0.0411 a) Do you reject or fail to reject Ho at the 0.04 level of significance? O A. Fail to reject Ho because P> 0.04. O B. Reject Ho because P>004 C. Reject Ho because P < 0 04 O D. Fail to reject Ho because P c0.04 b) Do you reject or...
Question 1 (1.5 points) Decide in each case wether to reject Ho or fail to reject Ho. P-value = .05 Level of significance = 0.01 P-value = 0.02 Level of significance = 0.01 P-value = 0.04 Level of significance = 0.1 P-value = 0.002 Level of significance = 0.05 Fail to reject the null hypothesis Reject the null hypothesis P-value = P-value = .05 Level of significance = 0.01 P-value = 0.02 Level of significance = 0.01 Fail to reject...
In hypothesis testing, what is the POWER of the test? A The probability to reject a true null. B The probability to fail to reject a true null. C The probability to reject a false null. D The probability to fail to reject a false null.
The P-value for a hypothesis test is shown. Use the P-value to decide whether to reject H when the level of significance is (a) a= 0.01, (b) a 0.05, and (c) a0.10. P 0.0749 (a) Do you reject or fail to reject Ho at the 0.01 level of significance? O A. Reject H because the P-value, 0.0749, is greater than a=0.01 O B. Fail to reject Ho because the P-value, 0.0749, is less than a = 0.01 O C. Reject...
Given Ho: -25, Ha: #25, and P-0033. Do you reject or fail to reject Ho at the 0.01 level of significance? O A. fail to reject Ho O B. not sufficient information to decide O c. reject Ho
Given Ho: -25, Ha: #25, and P-0033. Do you reject or fail to reject Ho at the 0.01 level of significance? O A. fail to reject Ho O B. not sufficient information to decide O c. reject Ho
What are the two decisions that researchers can make in hypothesis testing? accept or reject the null hypothesis retain or reject the null hypothesis all of the above
A type I error is where we reject a true null hypothesis (Ho). a. True b. False A type II error is where we fail to reject a false null hypothesis (Ho). a. True b. False A claim may go in either in the Ho (null hypothesis) or Ha (H1, alternate hypothesis) depending on the key words in the statistical word problem. a. True b. False