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Analysis of Variance 3 -Hypothesis Test with F-Statistic
This is the last video in our probability and statistics subject! Now move on to our first video in Precalculus:
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Probability and statistics on Khan Academy: We dare you to go through a day in which you never consider or use probability. Did you check the weather forecast? Busted! Did you decide to go through the drive through lane vs walk in? Busted again! We are constantly creating hypotheses, making predictions, testing, and analyzing. Our lives are full of probabilities! Statistics is related to probability because much of the data we use when determining probable outcomes comes from our understanding of statistics. In these tutorials, we will cover a range of topics, some which include: independent events, dependent probability, combinatorics, hypothesis testing, descriptive statistics, random variables, probability distributions, regression, and inferential statistics. So buckle up and hop on for a wild ride. We bet you’re going to be challenged AND love it!
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You said to make detailed video on degrees of freedom, please make 😭, if you already have please share the link
thank youuuuuuuuu!!! after 14years I came here to say THANK YOU !
I understand ANOVA cuz of you. Thank you
Can I please ask sir if for the denominator df is not there on table like value of 13 but numerator df is 2 how do you find an answer for that one?
My university stat course doesn't go deep into the math like you do which I understand better when the math is said like how you do it. Can you recommend me any books that dive deep into the math and the "why" for every equation degrees of freedom and etc we use?
ok so if my f stat is 1112 what does that mean did i do wrong
This is not from the basics.
Because I am here to know why we reject the null hypothesis? What is basic for rejecting the null hypothesis? This video is just a process of conducting ANOVA.
Paying 30 Lakh for my degree, passing the course using free videos from Khan Academy
Thank you thank you thank you! I understand!!!
10^10,000,000 times better than the average math teacher in America.
Khan Academy should be nominated for Nobel Peace Prize
thanks a tonne for the video !
Don complicate simple thing!
This set of 3 videos was amazing. Completely understood ANOVA. Thank you so much.
What a clear explanation.its amazing!
This is pure gold. Thanks
Crystal clear explanation
this helped me how to analyze data for my research TT, thank you so much ( T n T )
The peeps in group 3 watched khan academy while they ate
I am very thankful to Khan Academy. I don't think I would've passed any of my courses without these lectures.
Brilliant video!! It actually helps me to understand the concept a lot better as our lecturer’s approach was too abstract for me to understand clearly I guess… Thanks for making this video!
Thx for saving my statistic. Keep it up the great work
This is fantastic!!! Wel explained.
how do we choose which significance level to use?
Great video! Although I've been taught completely different terminology. SST = sum of squares due to treatments (i.e. SSB), SSE = sum of squares error (SSW), TSS = sum of squares total (SST). This made figuring it out pretty confusing. Anyone else use this terminology where SST means SS due to treatments, rather than SS total? Thanks again Khan Academy.