The best explanation I have watched on KZread very clear and precise, well done presentation.

You have a great narrative voice. And you teach very well. Thanks.

This video brought out a concept that the textbook did not. That is, how values of p close to 0 or 1 show skewness for smaller sample sizes compared to p=0.5. Excellent!

I should be paying part of my school tuition to you! Thanks to you I am more than 100% prepared for my exam!

Extremely well explained. Congrats! Couldn't be any better.

@jbstatistics

8 жыл бұрын

+Why Google, why? Thanks!

I like the way you deduce the standard deviation, make so much sense

@jbstatistics

6 жыл бұрын

I'm glad to be of help!

I hope you can come and teach at my college. You are well paced, without a monotone voice, and explain things so well.

brilliant expose, could not be better

Thank you so much for this!

awesome video! Thank you!

What distribution p-hat follows without normal approximation? Since p-hat is just a linear transformation of RV X (X following binomial distribution), what distribution transformed RV follows? We will need that when normal approximation is not appropriate.

I finally finally understood this. Thank you! :)

@jbstatistics

9 жыл бұрын

You are very welcome Darlene. I'm glad I could help!

@rachsteve3996

6 жыл бұрын

I too just one day before final stats exam 😂 lol thanks thanks thanks!!!!!!

The goat, thank you

employees in a factory can be divided into 3 strata according to department and asked attitudinal question which were to answer yes or n. it was suspected that there may be large differences for survey variables, a sample mean of employees were selected from each department and each individual answered YES or NO. we want to computed the sample mean proportion, variance and the standard error of the mean. what are you going to do

awesome video!

@jbstatistics

Жыл бұрын

Thanks!

You helped a 9th grade student. Congrats you're a genius!!

@JoaoVitorBRgomes

3 жыл бұрын

9th grade? gosh, so early

@wherethequietbeingsgo

3 ай бұрын

@@JoaoVitorBRgomes probably lives in a wealthy school district or is attending a college prep school

Very helpful video

Good explanation, thanks

@jbstatistics

7 жыл бұрын

You're welcome!

Thank you!

What is sample size in this context? Is it number of observations in a sample or the number of samples?

@jbstatistics

6 жыл бұрын

Whenever I use the term "sample size", I am referring to the number of observations in the sample.

thank you so much xxxx

@jbstatistics

6 жыл бұрын

You are very welcome!

I think we all owe you a beer.

THANK YOU!!!

@jbstatistics

6 жыл бұрын

You are welcome!

Rip to everyone cramming for methods externals 👁💧👄💧👁

Thanks...

9:29 leads to the summary

thanks

goooo year 12 methods gals

hi, your video is very informative and clear. but can you please explain what factor/factors makes the sampling distribution of p-hat approximately normal when n gets really big given a quite small or big value of p.

@achee12345

8 жыл бұрын

+Shawn Wu its the concept of central limit theorem

why do we need to sqare n @3:40

@jbstatistics

2 жыл бұрын

When a random variable is multiplied by a constant, the variance gets multiplied by the square of the constant. It comes out pretty quickly in the math: Var(cX) = E[(cX - mu_cX)^2] = E[(cX - c*mu_X)^2] = E[c^2(X - mu_X)^2] = c^2E[(X - mu_X)^2] = c^2 Var(X). (Yes, there are some steps here that would also require explanation/proof.)

Am from mzumbe universty i like

Sample proportion

2:40

Does the sampling distribution of proportions normally distributed?✨

@JoaoVitorBRgomes

3 жыл бұрын

if they are large enough

Marky Mark

jbstats FTW

can u please use smaller words.... my ADD ass cannot keep up...

@crushchr0nicles

3 жыл бұрын

I know this was 4 years ago but this is such a huge fucking mood

@musicIistener

3 жыл бұрын

chu good luck hero

@crushchr0nicles

3 жыл бұрын

Sage Delphi thanks, math makes me want to neck myself