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onlinestatbook
Добавлен 5 фев 2011
Видео
Chi Square: Chi Square Distribution
Просмотров 1,5 тыс.11 лет назад
Chi Square: Chi Square Distribution
Transformations: Tukey's Ladder of Powers
Просмотров 11 тыс.11 лет назад
Transformations: Tukey's Ladder of Powers
Transformations: Log Transformations
Просмотров 30 тыс.11 лет назад
Transformations: Log Transformations
Analysis of Variance: Within-Subjects ANOVA
Просмотров 11 тыс.11 лет назад
Analysis of Variance: Within-Subjects ANOVA
Analysis of Variance: Unequal Sample Sizes
Просмотров 38 тыс.11 лет назад
Analysis of Variance: Unequal Sample Sizes
Analysis of Variance: Tests Supplementing ANOVA
Просмотров 40111 лет назад
Analysis of Variance: Tests Supplementing ANOVA
Analysis of Variance: One-Factor ANOVA (Between-Subjects)
Просмотров 9 тыс.11 лет назад
Analysis of Variance: One-Factor ANOVA (Between-Subjects)
Analysis of Variance: Multi-Factor ANOVA (Between Subjects)
Просмотров 22 тыс.11 лет назад
Analysis of Variance: Multi-Factor ANOVA (Between Subjects)
Regression: Regression Toward the Mean
Просмотров 12 тыс.11 лет назад
Regression: Regression Toward the Mean
Regression: Introduction to Multiple Regression
Просмотров 4,5 тыс.11 лет назад
Regression: Introduction to Multiple Regression
Regression: Partitioning Sums of Squares
Просмотров 3 тыс.11 лет назад
Regression: Partitioning Sums of Squares
Regression: Introduction to Simple Linear Regression
Просмотров 1,7 тыс.11 лет назад
Regression: Introduction to Simple Linear Regression
Regression: Influential Observations
Просмотров 4,7 тыс.11 лет назад
Regression: Influential Observations
Regression: Inferential Statistics for b and r
Просмотров 1,1 тыс.11 лет назад
Regression: Inferential Statistics for b and r
Regression: Standard Error of the Estimate
Просмотров 52 тыс.11 лет назад
Regression: Standard Error of the Estimate
Logic of Hypothesis Testing: One- and Two-Tailed Tests
Просмотров 3,2 тыс.11 лет назад
Logic of Hypothesis Testing: One- and Two-Tailed Tests
Estimation: Confidence Interval on a Proportion
Просмотров 66611 лет назад
Estimation: Confidence Interval on a Proportion
What if we have different number of people in the two groups? How do I calculate this?
wrong formula. where is the degree of freedom in the denominator?
thank you so much!
has it changed to SE =1/sqrtn-2 instead of n-3
excellent!
Why not label the hinge and fences...
From about 3:14 to 4:10, the margin of error has mu_M when it should be sigma_M.
Sounds very technical. Not at all user friendly. Consider researchers who need to use this information, but are not statisticians or math people. This is not our primary language. It needs a more human explanation.
Excellent!!! I’m a stats nerd BUT it’s been forever since I needed to calculate a t-test!!! THANKS for the outstanding refresher!!!!!
I do not think that statistics may be the single most important subject matter I study.
Thank you. Best video
ok
if the n between the two samples is different, is it averaged as well when calculating the estimated standart error of the difference?
I would say, you take the weighted average as for the larger group you have more confidence that the sample-based variance is closer to the true population variance.
Still no voice over! Sigh...
Thank you! Using this for Psychology Statistics Class.
Adult men comprise with HIV in South Africa. In 2016, an estimated 104 000 [101 000-110 000] adult men acquired HIV, representing 39.2% of all adult infections in South Africa. There has been a 26% decline in new HIV infections among adult men since 2010.
better than starman for sure
rename disease X to covid-19 and make a new video , it will blow up
tremendous content onlinestatbook. I killed that thumbs up on your video. Continue to keep up the good work.
can someone please explain this properly and say what N, n, k, x is please
I attended an interview with FAANG for a data science position & I was asked these statistics questions I am still thinking if my answer is right or wrong. What is the right answer for this problem? Question: What is the base rate of conversion for mobile versus desktop sites? Total no of customers: 590381 Out of 590381, the Total no of customers that were converted: 701 These customers used mobile or desktop sites Total no of customers using mobile: 269400 No of customers that were converted using mobile: 507 Total no of customers using the desktop site: 320981 No of customers converted using the desktop site: 194 What is the base rate of conversion for mobile versus desktop sites? My answer was 0.18819599109131405 & 0.060439 after dividing 507/269400 & 194/320981, but the interviewer was not convinced.. If the base rate means should I divide 507 / 590381? (total) #faang #data #datascience #analytics #interview #dataanalytics
Yes the slides do not match with the narration
I was learning so much from the video, and he just had to remind me that Bill Gates has criminally more money than I do and will ever have. :'(''
Thanks
19 squared is equal to 361
Help full
please correct this video.
Thanks
thanks, I was kind of confused
Useful.
Basically I have more than 3 hours to study this and i just learned it because of this video. BRO THANKS A LOT U APPRECIATE IT
where can you categorise classifiable of student by state of birth
Sir my textbook said the formula denomiator is N-2
how we calculate y bar ?????????????
Sum/add all the numbers in the Y column Then count (not add) how many numbers are in the Y column (the mean) Assuming you’ve added all the numbers in Y column and it’s 1110 And you’ve counted the numbers in the Y column and it’s 5. Divide 1110 by 5 and you will get your Y bar. You use same method to find X bar.
I dropped this answer for students that might want it.
Thirty third comment
Excellent examples covered in very easy to understand manner. 👍👍
how to get Y prime ? The predicted Value, how do you get it.
Thank uvm Sir/Madam. STAY BLESSED!!!!!!
Logic of Hypothesis Testing | Part 2 By Prof (Dr.) Amarendra Mishra ruclips.net/video/mQLfAjhX94c/видео.html
Ooooh.... I see pascals triangle!
this is a great explanation although you need to know a bit of stats already
Great video, thank you for it. After a regression is performed and I have the estimate of the parameters (say a, b, and c), I would like to calculate some some call "the standard deviation" of the parameter for each parameter. It is allegedly a measure of how meaningful the parameter is. Any idea how I can calculate that? And, is that the same thing as the "bivariant"? - I hope you can help me - thanks
what the fuck happened to the comment section?
Great work ! Thanks 🙏🏻
I am curious about the history or origin of using the random variable Z in the standard normal distribution.
The Script is all here onlinestatbook.com/2/analysis_of_variance/within-subjects.html
This is a horrible example .
Poor explanation !
I want to understand how the table fisher's z-values is used.
:)