Calculate Z Score and show that its mean and standard deviation is 0 and 1 respectively

[@beboldbored2099]

The formula for Standard deviation used here is quite different. Its £(x- x(bar))squared divided by n-1 and then to find its square root. You just divided it with n.

[@pashe204]

I noticed the same and was wondering why the calculation didn't do n-1 =6-1=5

[@Amrithakhil]

Yeahh..correct ..even me noted that

[@jeylviearandez1368]

i all so noticed that calculation

[@societyupdates]

We use this dividing by n-1 approach when we have scores from a particular group of people and we want to estimate what the variance would be for the larger group of people whom these individuals represent. The variance and standard deviations given in research articles are usually figure using n-1 approach. But here for better understanding of standard deviations as definitional formula simple 'n' is used.

[@Kiranyadav216-a6m]

Actually, there are two things N & N-1 . n is used for the ungrouped data and n-1 for the grouped data. That's why he divided by n only :)

[@pinkskyfury_9016]

You make it so easy. Thank you so much, Sir!

[@balaskanthasivagnanam8006]

Your explanation is excellent. I really appreciate your teaching method and enjoyed. Thank you very much sir

[@AyuJessieM]

thank you very much Sir, your explanation is very crystal clear

[@quietstorm3697]

Mr. Anil Kumar I just want to say thank for your video :)

[@lakshithaudugama5019]

Thank you sir. Your vedio help to my academic

[@dalianamanda]

This was super and how can we calculate stanine?

[@bikiramchiary2747]

Thank you, it has helped me a lot

[@omprakashtiwari9492]

Sir I have seen formula for SD=(x-xbar/n-1)^0.5 but you use in denominator only n, which formula for SD, one should be followed

[@demitrixx5709]

I think you use n in the denominator if the scores are from a population. You use n-1 if the scores are from a sample.

[@sweetytiwana9534]

Thank you so much sir!

[@wrylish]

for the ungrouped data, do the mean and standard deviation values are always 0 and 1 respectively?
I have a academic problem here, and the mean and SD are not stated.

[@jenniferdaly2438]

can you add the formulas here so I can copy and paste them when showing work

[@josephaderigha4834]

Thanks Sir your the best...
This video has helped me alot and am highly grateful sir..

[@amnachoudry3862]

can u make a video on how to find the IQR and median for group data and how to make its box and whisker graph?

[@MathematicsTutor]

Thanks a lot. Will sure make one tomorrow. Here is one for you. Let me know if that works. th-cam.com/video/egGyi9QJCQ4/w-d-xo.html
Let me know if that works. Thanks

[@Pinkgirlnica]

sir what if the mean of the z score is not zero what would be the method to get the mean and standard deviation of the z scores

[@demitrixx5709]

Can a mean from the z scores be a zero? Despite having another set of given raw scores different from your sample here sir? I was wondering since I solved mine and its also zero.

[@randomvedios3836]

THANK YOU SO MUCH SIR.

[@mallninja9805]

You _showed_ z-bar is 0 but how to _prove_ z-bar is 0?

[@henriettagibsonii3545]

Thank you, clear as day.

[@allenafrancheska]

Thank you ❤️

[@VickyYadav-uh5uw]

Thanks

[@imkhan79]

Excellent

[@kimutaiemmanuel2755]

Thanks alot

[@SunitaSharma-ff6vh]

Help me to convert raw score to sten score

[@theeditlover1253]

thx for sharing your knowledge Sir, is it possible to calculate Z-Score within the range of -50 to +50?
If so kindly share video

[@anojangnaneswaran1022]

bro your video is nice but please cut mistakes and upload

[@MathematicsTutor]

I hope the method is clear. Will take a similar example later. Thanks

[@marygraceamoraparsons4515]

Why some people use square root of 76/N- 1?

[@MathematicsTutor]

N-1 is used when we take a small sample.
n is used when the sample is very large or we consider the population.
Thanks

[@agapeage3748]

@@MathematicsTutor That's confusing, I've always known it's N-1, using N only changes the result

[@villanuevajeraldd.7521]

the formyla for variance us wrong