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.
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
A mode of #N/A means you have all unique values so hence no mode. The good thing is that for checking normality you want to focus on the mean roughly equal to the median.
I run a normality test if I am about to run a hypothesis test that needs it as an assumption. Also, if we have normality, then probability rules are clearer.
@@joesienaprof9128 hey thanks. I was also wondering when you should assume that the mean and the median are relatively close or far apart. I have got some doubtful cases.. Is there a percentage or something?
@@pixelsbritt3634 the short answer is it depends on the situation. This video shows us a quick check on normality. If I really want to check I would run a ChiSquare or a Wilks Shapiro. Those are harder to explain so when we first learn about normality, we use these rules. The best thing to do is to have a few of these quick checks to work and that is a nice starting point. I would also make sure the boxplot is "normal" looking for a visual check.
wonderful, many thanks it is important to know why we finding out the normality in a data distribution, and this video answers that
Thank you for a FANTASTIC video!
This was amazing! Thank you Joe
I am from Brazil, thanks for your class and congratulation for your skills.
Thanks so much for this video, Joe. I hope you make new videos soon. God bless! :)
Hello Joe, Thanks for such useful videos in your channel. Please upload a video on constructing a QQ plot for weibull and gumbel distribution.
Thanks, AWESOME tutorial.
Thank you, this was super helpful!
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.
you saved me. thank you!
can we get your notes around 18:59 time stamp when you reviewed?
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.
Agreed. It would be nice for more advanced functionality but that is why we teach R Studio once we get past a first course in statistics.
Thank you Sir
ty dude
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
EXECLLENT! Thank you
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?
Correct.
Hi Joe, My Mode: is # N/A however all my cells have values
A mode of #N/A means you have all unique values so hence no mode. The good thing is that for checking normality you want to focus on the mean roughly equal to the median.
At what stage shoud we run a normality test ?
I run a normality test if I am about to run a hypothesis test that needs it as an assumption. Also, if we have normality, then probability rules are clearer.
Hello, im getting an error: #NUM! when i'm calculating the NORM.S.INV part. Do you know how i can fix this?
I am thinking you must have a value that is greater than 1. NORM.S.INV only works for values that represent probabilities. I hope this helps.
@@joesienaprof9128 hey thanks. I was also wondering when you should assume that the mean and the median are relatively close or far apart. I have got some doubtful cases.. Is there a percentage or something?
@@pixelsbritt3634 the short answer is it depends on the situation. This video shows us a quick check on normality. If I really want to check I would run a ChiSquare or a Wilks Shapiro. Those are harder to explain so when we first learn about normality, we use these rules. The best thing to do is to have a few of these quick checks to work and that is a nice starting point. I would also make sure the boxplot is "normal" looking for a visual check.