ANOVA: Crash Course Statistics #33
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Date: 2022-04-04
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Comments and reviews: 10
Taymia
Even though I've taken an entire semester worth of classes on statistics, these videos are actually even more confusing. You guys focus too much on keeping the videos short and end up explaining nothing at all. there is information and you make a few good points but its nothing one cant get from a regular math website. the visuals are a waste and it all seems pretty forced and like youre just reading off a screen.
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Even though I've taken an entire semester worth of classes on statistics, these videos are actually even more confusing. You guys focus too much on keeping the videos short and end up explaining nothing at all. there is information and you make a few good points but its nothing one cant get from a regular math website. the visuals are a waste and it all seems pretty forced and like youre just reading off a screen.
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toni
Using ordinal data is a bad example with the cocoa bean type. You cant use the mean as a measure of central tendency when it has no meaning i. e. what is the average of strongly agree and disagree? Also really bad idea to teach doing multiple t-tests as it increasing the Type I error, and defeats the whole point of ANOVA. Would have been better to show Tukey- HSD to determine which means are different.
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Using ordinal data is a bad example with the cocoa bean type. You cant use the mean as a measure of central tendency when it has no meaning i. e. what is the average of strongly agree and disagree? Also really bad idea to teach doing multiple t-tests as it increasing the Type I error, and defeats the whole point of ANOVA. Would have been better to show Tukey- HSD to determine which means are different.
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FLlama
Great video, although I wouldn-t recommend running three t-tests after the ANOVA without first applying the Bonferroni correction! This is using an alpha level of 0. 05/the number of comparisons you-re making (in this case 3. Use this corrected alpha level to determine significance, otherwise you may run into family-wise problems and make a type 1 error
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Great video, although I wouldn-t recommend running three t-tests after the ANOVA without first applying the Bonferroni correction! This is using an alpha level of 0. 05/the number of comparisons you-re making (in this case 3. Use this corrected alpha level to determine significance, otherwise you may run into family-wise problems and make a type 1 error
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Kieran
Is there any situation where an F test would say not statistically significant but a T test would? The fact that you said a failed F test means a relationship -probably- doesn't exist seems to imply that it can. What would you do in that case?
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Is there any situation where an F test would say not statistically significant but a T test would? The fact that you said a failed F test means a relationship -probably- doesn't exist seems to imply that it can. What would you do in that case?
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San
Hey, I love these series, it's helping me through a semester of Corona-Statistics.
I just think I might have found a mistake at 10: 57 for the model sum of squares, because the sum should go from i=1 to k, instead of to n as the figure says.
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Hey, I love these series, it's helping me through a semester of Corona-Statistics.
I just think I might have found a mistake at 10: 57 for the model sum of squares, because the sum should go from i=1 to k, instead of to n as the figure says.
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Desanka
You make statistics so understandable and not as abstract! I am not so scared of t-tests, z-tests, F-tests and ANOVA anymore! Why do most statistics teachers make it seem so scary? Statistics is great! (esp for curious minds like myself -_-)
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You make statistics so understandable and not as abstract! I am not so scared of t-tests, z-tests, F-tests and ANOVA anymore! Why do most statistics teachers make it seem so scary? Statistics is great! (esp for curious minds like myself -_-)
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The
I love Indiana, my family is from there. I-m hype. Love u guys. Thanks for your help. You guys literally help me in every class I have. I go to college online. CTU online. Thanks guys for real.
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I love Indiana, my family is from there. I-m hype. Love u guys. Thanks for your help. You guys literally help me in every class I have. I go to college online. CTU online. Thanks guys for real.
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MasterofPlay7
So if the mean of one or more groups (are skewed by outlier or missing values, is anova's result between the groups still valid? Since the parameters for anova is the variances
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So if the mean of one or more groups (are skewed by outlier or missing values, is anova's result between the groups still valid? Since the parameters for anova is the variances
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Tamzagha4ever
If we can know exactly the statistical significance between different groups by using t tests for every 2 groups, why even bother with the f-test in the first place lol?
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If we can know exactly the statistical significance between different groups by using t tests for every 2 groups, why even bother with the f-test in the first place lol?
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Юлия
There was one big mistake. never talk about chocolate in maths -
I was not able to think about calculations but chocolate.
Overall was pretty clear: )
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There was one big mistake. never talk about chocolate in maths -
I was not able to think about calculations but chocolate.
Overall was pretty clear: )
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