Is p less than .05? P-Value; Significance Testing; Hypothesis Testing; Reject Null Hypothesis

On this video we’ll take a seem atwhether you should record P is lower than .05 or P is higher than.05 in a given challenge. In speculation testing a customary query Ireceive as I mentioned earlier than is whether state P is not up to .05 orP is greater than .05. The answer to this question is it reallydepends. It is determined by whether the outcome are statistically giant ornot. Let’s go ahead and take a appear at this subsequent. So suppose that we ran astatistical experiment and we got results that were statistically large. Ifthis was once the case then we would reject the null speculation. So when the resultsare statistically gigantic we state P is lower than .05 or in otherwords after we reject the null hypothesis we state P is less than .05and this assumes that an alpha of 0.05 is used once we use an alpha .05that’s why we state P is less than 0.05 if we used an alpha .01and the experiment was once statistically huge then we might say P is lessthan .01 and for individuals who are interested we will get into thetechnical important points about why we state P is not up to .05 in simply afew moments.So in summary for statistically gigantic results wewant to state P is not up to .05. If, however, we obtainedresults that were not statistically giant, we might fail to reject thenull hypothesis. When the results will not be statistically big we state P isgreater than .05. So, in summary, for non significantresults we state P is larger than .05. Technically speakme the pvalue like once we state P is lower than .05 it indicates theprobability and that’s what P stands for chance of getting our results orresults much more extreme if the null hypothesis used to be actual.Once we say P isless than .05, we’re declaring that the probability ofgetting the results we acquired is lower than .05 or 5 percentage ifthe null speculation was once proper and this makes the results large as itoccurs not up to 5 percent of the time with the aid of threat by myself. So this is why westate, with giant results, that P is not up to .05, considering the fact that thechance or chance of getting such outcome is lower than 5 percentage.On the other hand getting non huge results shows that theprobability of getting the exact results we received is higher than.05 or five percentage if the null hypothesis was once proper.This is whywith non tremendous results we say P is higher than .05 considering that thechance of getting such outcome is greater than five percent. When you’vegotten this mistaken or been burdened about this earlier than do not be discouraged as thisis probably the most normal questions or relatively errors that I see made instatistics I get a lot of questions about this and a variety of individuals get itbackwards so just attempt to take into account here 4 tremendous results you want to sayP is not up to .05 and that is whilst you reject the null hypothesisso when you get statistically massive outcome you put P is less than .05 after which for non massive outcome you just put the opposite P isgreater than .05 and in this case this is when you fail to reject thenull or you receive the null as some individuals say and simply as a reminder if youwere to make use of alpha .01 then you might say P is not up to .01 or P is higher than .01 depending on whether or not you obtained significantor non colossal outcome, respectively.Okay that’s it; thanks for looking at..

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