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...
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
A hypothesis testing: H0: p=0.49 HA: p<0.49. We conduct a survey with sample size n=171 and have pˆ=0.39. With α=0.05, do you reject or fail to reject the Null hypothesis? Enter 1 if you "reject the Null hypothesis" and 0 if you "fail to reject the null hypothesis".Note:1- Enter either 0 or 1 in the box. The box does not accept text as an answer. Your answer should be either 0 or 1 and no other answers will be accepted.
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
Provide an appropriate response. Find the P-value for the hypothesis test with the standardized test statistic z. Decide whether to reject H o for the level of significance a. Two-tailed test z= 1.95 a = 0.05 0.0512; fail to reject Ho 0.0256; reject Ho 0.9744; fail to reject Ho 0.0512; reject Ho QUESTIO 8 points Save Answer Provide an appropriate response. Find the P-value for the hypothesis test with the standardized test statistic z. Decide whether to reject H o...