Відео

Thank you for a FANTASTIC video!

So if your mean is somehow equal or roughly equal to the mean, then it’s a normal distribution right?

why we didnt we follow the nrmal steps for NPP where i-0.5/n ? which brings to second question why did we add 1 although most videos chart NPP without adding 1 to the sample ? thank you so much . apologies if i am lost / confused

Thank you, this was super helpful!

EXECLLENT! Thank you

Thank you Sir

Thank you!

Thanks so much for this video, Joe. I hope you make new videos soon. God bless! :)

At what stage shoud we run a normality test ?

can we get your notes around 18:59 time stamp when you reviewed?

My doubt is that do we have to check normality for every question in the questionnaire or it is overall data.

19:16 So they “have a really good chance to be normal”, but that doesn’t mean that we have proven that the distribution is normal, correct?

Hi, Great video! I really feel I am learning about how to check for normality! Question: What should we look for with kurtosis for checking for normality? Thanks.

Thanks for the video. It is pretty sad excel does not have an Anderson-Darling test for normality built in. I’m a retired guy and miss Minitab.

ty dude

Hi Joe, My Mode: is # N/A however all my cells have values

thanks man! appreciate your efforts!

wonderful, many thanks it is important to know why we finding out the normality in a data distribution, and this video answers that

This was amazing! Thank you Joe

Thanks, AWESOME tutorial.

you saved me. thank you!

I am from Brazil, thanks for your class and congratulation for your skills.

All, my first example has an intercept of 992.99 (around 3:31 time point). I wrote the R^2 value instead. That was my mistake.

Hello Joe, Thanks for such useful videos in your channel. Please upload a video on constructing a QQ plot for weibull and gumbel distribution.

0:40 sweety-girls.online

0:26 sexy-milfs.online

Hello, You ended up using 63 for the mean rather than the 64, but the calculations still follow through with 63