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rd.com/webapps/discussionboard/do/message?action-list messages&icourse; id- 66897 18inav-discussion board entry&uconf; id- 48 18 days ago Elsayed Mogahed Discussion of Week 10 (on line students only) You are hotly debating a statistical issue with your girl friend Shawna at a cocktail party. You are interpreting the outcome of a particular study you have read for your statistics class. The results of the study report p 0.025 when evaluating Ho. Shawna claims that the probability value of 0.025 is the probability that chance is the correct explanation of the results. You disagree. Who is correct? Assume no error in calculations or p value. Discuss. Reply Carrie Farkas 4 days ago REi Piscussion of Week 10 (on line students only)Explanation / Answer
The P-value approach involves determining "likely" or "unlikely" by determining the probability — assuming the null hypothesis were true — of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed. If the P-value is small, say less than (or equal to) ?, then it is "unlikely." And, if the P-value is large, say more than ?, then it is "likely."
A small p-value (typically ? 0.05) indicates strong evidence against the null hypothesis, so one can reject the null hypothesis.
Since P-value = 0.025 , so H0 is supposed to be rejected, and not a correct explanation of results.
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