The basis for rejecting any null hypothesis is arbitrary. The res...

Question

The basis for rejecting any null hypothesis is arbitrary. The researcher can set more or less stringent standards by deciding to raise or lower the p value used to reject or not reject the hypothesis. In the case of the chi-square analysis of genetic crosses, would the use of a standard of p = 0.10 be more or less stringent about not rejecting the null hypothesis? Explain.

Accepted Answer

Hey everyone, let's take a look at this question together. The p value is the probability for a certain statistical model that the statistical summary would be either equal to or more extreme than the actually observed findings. If the null hypothesis or to hold if the p value is blank, the null hypothesis is rejected, let's recall what we know about the p value and how that value relates to the null hypothesis being accepted or rejected. So we can think of the P value which we know, the p value represents, the probability probability and it's the probability that something is either very likely to happen or if it happens by chance because it is accidental and this is in the case of the no hypothesis being true. And so for the significance level significance level, this has to do with that probability of rejecting the no hypothesis and so the p value and the significance value are both related in that we use the P value in relation to the significance level to determine whether or not we reject or accept the null hypothesis. So when the p value is greater than the significance level, significant level, you know, hypothesis is accepted. However, if the p value is less than or equal to the significance value, that no hypothesis is rejected because it means that the p value is statistically significant. So the null hypothesis should be rejected. So looking at our answer, if the p value is blank, the null hypothesis is rejected, which we know that if the p value is less than or equal to the significant value, it is rejected, which means that answer choices B and C. Are correct, So answer choice D. Is the correct answer to this question. Because we know that when the null hypothesis is true and lower or equal, P value indicates that there is very low probability that this finding was accidental, but if the P value is high, it means that the result was very likely, so it is not a significant finding. And so answer choice D. Is the correct answer. I hope you found this video to be helpful. Thank you and goodbye.

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