You perform a statistical test and obtain a P-value of 0.08. You would typically conclude that you reject your null hypothesis. True False
P value or probability value represent the probability that the difference between expected and observed numbers is due to chance. P=0.05 is taken as cutoff value. P value above 0.05 is denotes that deviation is by chance (do not reject null hypothesis in this case) while a smaller value predict that deviation is not by chance and you can reject null hypothesis in this case.
As the given P value is 0.08 which is greater than 0.05 so we can not reject the null hypothesis. Provided statement is false.
You perform a statistical test and obtain a P-value of 0.08. You would typically conclude that...
On a certain portion of an experiment, a statistical test result yielded a p-value of 0.15. What can you conclude? If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 15% of the time, so the test is not statistically significant. 2(0.15) = 0.30 < 0.5; the test is not statistically significant. 0.15 > 0.05; the test is statistically significant. If the null hypothesis is true, one could expect...
QUESTION 21 A p value is the probability of obtaining the value of the test statistic or more extreme, if the null hypothesis is true. a. True b. False QUESTION 18 Type I error occurs when a. you reject a false null hypothesis b. you reject a true null hypothesis c. you fail to reject a false null hypothesis d. you fail to reject a true null hypothesis QUESTION 19 Type II error occurs when a. you reject a false...
If your level of statistical significance (alpha) is 0.05, and the p-value calculated from your data is p = 0.04, you reject the null hypothesis. (state your decision rule) A. True B. False
If, in a (two-tail) hypothesis test, the p-value is 0.1611, what is your statistical decision if you test the null hypothesis at the 0.09 level of significance? Choose the correct answer below? A. B. ° C. D. Since the p-value is less than α, do not reject Ho Since the p-value is greater than α, do not reject Ho. Since the p-value is less than α, reject Ho Since the p-value is greater than α, reject Ho
On a certain portion of an experiment, a statistical test result yielded a p-value of 0.21. What can you conclude? A. 2(0.21) = 0.42 < 0.5; the test is not statistically significant. B. If the null hypothesis is true, one could expect to get a test statistic at least as extreme as that observed 21% of the time, so the test is not statistically significant. C. 0.21 > 0.05; the test is statistically significant. D. If the null hypothesis is...
If we reject the null hypothesis, we conclude that: there is enough statistical evidence to infer that the alternative hypothesis is true. there is not enough statistical evidence to infer that the alternative hypothesis is true. there is enough statistical evidence to infer that the null hypothesis is true. there is not enough statistical evidence to infer that the null hypothesis is true.
If, in a one-tail hypothesis test, the p-value=0.5122 what is the statistical decision if the null hypothesis is tested at the 0.07 level of significance? What is the statistical decision? A) Since the p-value is less than α=0.07, do not reject H0. B) Since the p-value is greater than or equal to α=0.07, do not reject H0. C)Since the p-value is greater than or equal to α=0.07, reject H0. D) Since the p-value is less than α=0.07, reject H 0...
, in a (two-tail) hypothesis test, the p-value is 0.0758, what is your statistical decision if you test the null hypothesis at the 0.05 level of significance? Choose the correct answer below? Please Explain why because I am very confused with this chapter. Thanks! A. Since the p-value is less than alpha comma do not reject Upper H 0 . B. Since the p-value is less than alpha comma reject Upper H 0 . C. Since the p-value is greater...
A researcher calculates a statistical test and obtains a p value of .86. He decides to reject the null hypothesis. Is this decision correct, or has he committed a Type I or Type II error? Explain your answer.
O A. Because the p-value is less than a, we reject the null hypothesis and conclude that the average det load is equal to $17,000 O B. Because the p-vakus is greafer than a we fail to reject the nu ○ C. Because the p-value is greater than a we fail to reject the nul hypothesis and cannot co clude that he OD. Because the pvalue is lesse an Suppose that the Department of Education would like to test the...