Normal Distribution & Standard Normal Explained (Z-table)- (Continuous Probability Distribution)

[@PhilosMasterClass]

Exam Questions on STATISTICS with guided solutions: th-cam.com/video/9Hh0Vu8Lr8s/w-d-xo.html

[@MSRecapped]

Yo bro your explanation is really 😎 cool.
Done learning the topic without my slides

[@PhilosMasterClass]

Wow, nice.

[@ceciliaankomah6730]

This tutorial has really helped me a lot 🥰. God bless you 🙏🙏

[@PhilosMasterClass]

We are glad it helps. Amen.
You can also let others benefit by sharing the link with them.
God bless you also. Amen

[@MisheckKanyanga-x2k]

Remarkable explanation ever. Amazing God bless you sir probability made easy😍😍

[@PhilosMasterClass]

@@MisheckKanyanga-x2k I am glad the explanation helps. Amen

[@MisheckKanyanga-x2k]

This is awesomely amazing sir God bless you. This one is the best explanation ever 😍😍

[@PhilosMasterClass]

@@MisheckKanyanga-x2k Amen

[@ewuraadjoadoku5373]

This tutorial really helps

[@PhilosMasterClass]

We are glad it helps.

[@duahprempeh4974]

Thank you ❤

[@PhilosMasterClass]

You're welcome 😊

[@SHARLETNETSHIENDEULU]

Can you please leave a link where you explain how to use the other Ztable

[@michaelamoah-yirenkyi]

Thanks Boss 😊

[@PhilosMasterClass]

Any time

[@Eldersokodua2945]

God bless your

[@PhilosMasterClass]

Nevame 🙏

[@edwinboateng8272]

Hello please you said the curve never touches the x axis but when you were showing the mean and standard deviation, the curve was directly moving on the x axis, I'm confused there..it's on the 4th minute, you can check to confirm

[@PhilosMasterClass]

okay.
That shouldn't be a problem please. It is a mere drawing. The most important thing is do not let is cut the x-axis to form intercept.
What matters is you should know that one of the characteristics of the curve is that it is asymptotic, which simply means it approaches the x-axis and does not touch it completely, and does not cut the line too. That is why we call it continuous distribution.

[@winifredafriyie566]

Thanks boss

[@joshuaoni7841]

Thank you so much.

[@PhilosMasterClass]

Anytime Sir.

[@Deeeeeee2010]

Thank you

[@ayonbiswas6165]

take love, sir

[@UncleDollertv]

Wofa Philos nie

[@VictorLaare]

😮y