WebWhich of the following statements about p-value is true? A. If the p-value is less than 0.05, you reject the null hypothesis. B. If the p-value is less than 0.05, you accept the null hypothesis. C. If the p-value is more than 0.05, you reject the null hypothesis. D. If the p-value is more than 0.05, you accept the alternate hypothesis. Web6 mrt. 2024 · A p -value less than 0.05 (typically ≤ 0.05) is statistically significant. It indicates strong evidence against the null hypothesis, as there is less than a 5% …
Hypothesis testing: do we reject if the p-value is the exact same as ...
WebIn null-hypothesis significance testing, the p-value is the probability of obtaining test results at least as extreme as the result actually observed, under the assumption that the null hypothesis is correct. A very small p-value means that such an extreme observed outcome would be very unlikely under the null hypothesis. Reporting p-values of statistical tests is … Web7 jun. 2024 · What if the p-value is greater than 0.05 in Anova? If the overall ANOVA has a P value greater than 0.05, then the Scheffe’s test won’t find any significant post tests. In this case, performing post tests following an overall nonsignificant ANOVA is a waste of time but won’t lead to invalid conclusions. it executive profile summary
How Do You Know When To Reject Or Fail To Reject …
Web7 nov. 2024 · Assuming you selected your alpha risk to be 0.05, you will reject the null if the p-value is less than 0.05. That allows you to claim that your data is statistically different from a normal distribution. On the other hand, if your p-value is higher than 0.05, you can state that your data is not statistically different from a normal distribution. Web7 dec. 2024 · A p-value less than 0.05 (typically ≤ 0.05) is statistically significant. It indicates strong evidence against the null hypothesis, as there is less than a 5\% probability the null is correct (and the results are random). Therefore, we reject the null hypothesis, and accept the alternative hypothesis. Web26 dec. 2014 · The null hypothesis of the Jarque-Bera test is a joint hypothesis of the skewness being zero and the excess kurtosis being zero. With a p -value > 0.05, one would usually say that the data are consistent with having skewness and excess kurtosis zero. A high p -value is expected here because you use normally distributed random numbers. it executive summary example