Hi Erich, I have gone through each video of Hypothesis testing and they are really help full and well explained. Need your one more help. I would like you to help me and upload one more video on Repairable system analysis using both parametric growth curve and non parametric growth curve.
Hi Erich, how to find the Hypothesized mean?? is it the mean already given in the problem or you have to find the average of the given data which will then be considered as the hypothesized mean???
Hi John. The test statistic tells you essentially the same thing as the P-value tells you. There are two ways to judge the results of a hypothesis test. You can compare the test statistic to the critical value: (test statistic closer to zero than critical value means fail to reject the null, test statistic further from zero than the critical value means reject the null.) Or you can compare the P-value to the significance: (P-value greater than significance means fail to reject the null, P-value less than the significance means reject the null.) It is really two ways to do the same thing.
This video is super old but if you’re reading this you are legend. Helped me pass my last STATS assignment
Hi John. Glad this helped you.
Hi Erich, I have gone through each video of Hypothesis testing and they are really help full and well explained. Need your one more help. I would like you to help me and upload one more video on Repairable system analysis using both parametric growth curve and non parametric growth curve.
These videos are great, thank you for helping me pass stats lol
I'm thrilled it helps you with the class.
Thank you for these tutorials
You're very welcome.
Hi Erich, how to find the Hypothesized mean?? is it the mean already given in the problem or you have to find the average of the given data which will then be considered as the hypothesized mean???
Excellent
Thank you.
how do I find normalization of data step by step
I don't exactly understand what your question means.
What does the Test Statistic (t-value) tell us in this example?
Hi John. The test statistic tells you essentially the same thing as the P-value tells you. There are two ways to judge the results of a hypothesis test. You can compare the test statistic to the critical value: (test statistic closer to zero than critical value means fail to reject the null, test statistic further from zero than the critical value means reject the null.) Or you can compare the P-value to the significance: (P-value greater than significance means fail to reject the null, P-value less than the significance means reject the null.) It is really two ways to do the same thing.