I was going crazy staring at my Stats book in class for 30 min. Left early. Went home. Took a nap. Woke up. Watched this video. Finished my homework. You put my professor to shame.
I'm sure your instructor is just as good as me, if not better. Perhaps you simply didn't get enough sleep the night before your class. I encourage all students to attend their classes and ask questions if you don't understand. Don't be shy.
Oh my god you made me understand!!! My professor is just really bad at teaching, he only goes over slide shows, doen't do any problems, and our only grades is five tests and I didn't do well on the last two tests, I wish I found your videos sooner.
Thank you for publishing this video! I FINALLY understand. I read the two chapters in our book, had three lectures on this subject and in less than 10 minutes you were able to explain it and I understand it. Thank you very much!
This is legit. I've been taking an online statistics course and have been struggling until I found your videos. You're like the Morgan Freeman of statistics: I could listen to your voice for hours.
This was recorded 10 years ago but it's still relevant and very helpful. I spent 4 days trying to understand the basics of hypothesis testing, but I failed to find videos. Most videos are so advanced. Thank you so much for this simple yet effective insight into the rules and approach of the hypothesis.
I searched all of the day, and you save my life. I couldn't find any source for the traditional method. Tnx for this video; I subscribe to your channel and follow all courses and videos.
Thank you so much for explaining this concept in such simple terms. I have studied statistics in college and also at university but none of the teachers explained it as you did. You are the best teacher of statistics I ever came across. May God bless you.
I am so happy that I got an A in statistics! Learning this concept along with the others was so much fun in my class, and I can't wait to do even more as a finance major! With this video, you helped me make hypothesis testing not seem so scary at all, and I am such an expert on it now along with the rest of statistics! You rock!
Wow! I've viewed a dozen or more vids about hypothesis testing and none have ever dealt with the distinction between the "traditional" method vs. a "p-value" method. I never realized that distinction existed. A number of other concepts also became a revelation here. Bravo! Well done! Thanks for your superb pedagogy!
It took me 3 days to find a video that actually explained this normally and not mix in p-values or cut off after t tests or critical were found and didn't explain if reject or fail to reject. So THANK YOU SO MUCH.
Who are you? you, you just explained it like my professor do, but in incredibly more understanding way and great voice. I really want to know every nuts and bolts or every piece of details in statistics and now you showed me how I thank you sir!
Finally, critical values make some sense to me! Best video I've watched so far on the topic. I love how you explain things. And you have such a lovely voice! Thanks for helping me make sense of CVs.
my textbook was so convoluted and confusing, I am so thankful for you and your markers and the way you explained this concept so simply and eloquently. Many manyyyy thanks. I hope you are prospering in life
Excellent video. The visualization with the graphs was something that was strangely missing from my statistics lectures, very helpful for understanding rejection regions.
You have saved me! I am taking Statistics online with MyMathLab and it is so hard to follow the videos on that because of the overload of information, but your explanations are so easy for me to understand and apply. Thank you so much!
The video was helpful. I loved the way that the Alternative Hypothesis and the Critical Values were explained. Thank you for helping me understand Statistics!!!
Thank you so much for this! For my stats homework I was assigned a series of problems and for some of them I had to use p-value method and for others I had to use the traditional method and your two videos on both topics really really helped. If I manage to get an A on my quiz tomorrow it'll be because of you :)
Thaaaaank youuu sir! we have an upcoming exam about this one and I am so glad to found this video. You really explain it in a very simple way. You're such a great teacher. 😊😃
you look up the alpha value in your t-table or z table. I have a z table row listed as the infinity symbol on my t-table. In this case, alpha is given as 0.10. Look on your table and look for 0.10 in top row, from there go all the way down the corresponding column to z and it will give you a number: 1.2816. since the critical value is the LEFT tail, it is -1.28.
Thank You, it made my brain click. It was amazing to finally understand it. Its better than reading the math textbook, which looks like a different language at times lol !
From the table of t-distribution when the degree of freedom is infinite and the critical value is below the mean "lower boundary" it become negative 1.28
Really good.I think you should mention as well that we are talking about the sampling distribution of the sample means cause it gets confusing sometimes with the population distribution.
because the distribution is symmetrical. 0 lies in the center, and values to the left of it, are negative, and the right of it, positive. it's like a mirror see, on the other side it would just be "1.28".
Look at Table A, and find the closest number to ".10 " in this case it would be Row "-1.2" column ".08" which is the same as -1.28. That would be the Z value
Teddy Fan If you look very closely on the z-table for .4000, which is calculated after doing .5000-.10, you look very closely on the z-table for numbers that round up to the number .4000. If you see more than one answer after looking your critical value up backwards, you can go with either one as long as it does round up to .4000.
Since he was using alpha = 0.1 and the shaded area was on the left side of zero (meaning negatives only), looking at the Z table of 0.1 gives you a critical value of -1.28. If he was doing a right tail test, it would be positive 1.28.
Amazing concise video better explained than my teachers, Quick question however, if your test statistic was the critical value point, then you would reject Ho right?
The book by Jay L. Devore is what my stats class uses, and it is the biggest waste of paper and ink I've ever seen. You did a great job explaining this topic, I wonder could you do a video on what P-hat is(compared to little p), and what is q, is it 1-p? Possibly, what big Xbar compared to little xbar is, and how they relate to hypothesis testing?
