Clean and straightforward. Very clear presentation. For those of us watching on a phone, heavier lines/curves and bolder (But not larger) print would make for much easier viewing. But it is generally readable as is. Thanks.
Well, that statement is not correct. It's really how you define t(1-alpha). Either P(t-t(1-alpha)=1-alpha is true. Totally depends on how you define it. I've seen both definitions.
Many thanks for watching. I have videos on the Dirichlet Distribution and of course the Multivariate Normal Distribution. Don't forget to subscribe and let others know about this channel.
Clean and straightforward. Very clear presentation. For those of us watching on a phone, heavier lines/curves and bolder (But not larger) print would make for much easier viewing. But it is generally readable as is. Thanks.
Many thanks for watching and your constructive criticisms. Much appreciated. Don't forget to subscribe and let others know about this channel.
@@statisticsmatt I was one of your early subscribers!
Many thanks for subscribing!! I should have recognized your username!
Is P(t -t(1-alpha)) =1- alpha , where t is distributed as t distribution with n-1 degrees of freedom and alpha is the level of significance
if i'm understanding your question. that's correct.
@@statisticsmatt well it's actually P(t-t(1-alpha)=1-alpha
Well, that statement is not correct. It's really how you define t(1-alpha). Either P(t-t(1-alpha)=1-alpha is true. Totally depends on how you define it. I've seen both definitions.
@@statisticsmatt (1-alpha)th quantile of t distribution
Thank you
You're so welcome. Many thanks for watching!
Thx
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cool
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Not relevant, i know you have derived bivariate poisson previously. Is there anything for n dependent variables like multivariate poisson?
Many thanks for watching. I have videos on the Dirichlet Distribution and of course the Multivariate Normal Distribution. Don't forget to subscribe and let others know about this channel.