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The assumptions: Each person being asked to is independent, true proportion not too close to 0 or 1. How and Why are these assumptions essential in concluding that the sample proportion follows a normal distribution?

What if the CI contains zero or one? From what I remember, it wouldn't be a statistically significant result then? I guess this is not possible when we're talking percentages, and is probably relevant only in the context of hypothesis testing? Is that correct? I DON'T LOVE statistics. It's too much assumption. Presumptuous "science".

The issue that I have with this video is, after thoroughly over explaining population, sample, sample proportion, sample deviation of sample proportion and sampling distribution, he didn't have enough space to do a written explanation on how he got his Confidence Intervals and Margin of Error; which is ironic, being a part of the videos title and the only reason I clicked play 😉

It would be nice if you state the Z critical value used in the 95% confidence, then it wouldn't be as confusing as for where you're getting the Confidence interval from.

Thank you so much! This last week of stats kicked my butt and I thought this was going to do the same. You really simplified this in a manner that was easy to understand.

that inference he made: that the true population proportion is within 2 sd of sample proportion cleared many questions for me. I was cofused before before watching this. thanks

I’m early

Second

i literally just finished stats yesterday. WHERE WAS THIS BE3EUFNDS

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what course is this from? on the website it only has high school statistics and it doesn't go into confidence intervals

So that standard error equation only works for 95% confidence interval correct?

The assumptions: Each person being asked to is independent, true proportion not too close to 0 or 1. How and Why are these assumptions essential in concluding that the sample proportion follows a normal distribution?

why dont u just do a simple version, you seriously overcomplicate it for those who are just trying to get a simple understanding.

Thank you again!

The handwriting in this video is phenomenal

Watching this just helped me pass a quiz that required a pass in order to not fail the entire unit. Thanks heaps, you're a legend!

at 9.14 , why did you calculate twice the standard error while adding and subracting from samlpe proportion ?

Too complicated for someone trying to understand for the first time

I bet 50% of this channel's success is due to this beautifully balanced handwriting

i'm so confused. how did u found 95%?

check you math its wrong it should be(0.49,0.59) not (0.44,0.64)

disregard that comment didn't watch until the end. Sorry.

Thank u

I still can't make sense of the basic statistical premise. It really doesn't make sense to me.

what were we doing in the whole video?

What if the CI contains zero or one? From what I remember, it wouldn't be a statistically significant result then? I guess this is not possible when we're talking percentages, and is probably relevant only in the context of hypothesis testing? Is that correct? I DON'T LOVE statistics. It's too much assumption. Presumptuous "science".

Good explaining once again. thanks!

Here because of dead week

The issue that I have with this video is, after thoroughly over explaining population, sample, sample proportion, sample deviation of sample proportion and sampling distribution, he didn't have enough space to do a written explanation on how he got his Confidence Intervals and Margin of Error; which is ironic, being a part of the videos title and the only reason I clicked play 😉

Good explanation

It would be nice if you state the Z critical value used in the 95% confidence, then it wouldn't be as confusing as for where you're getting the Confidence interval from.

i love your enthusiasm for maths! it keeps me interested and willing to learn more!

anyone else here for Ms. Trieu's class??

Many are saying this is too complicated for an intro, and maybe so. With that said, I found this to be an excellent example. Great job!

you a literal LIFE SAVER

Perfect explanation. i dont need to read boring books

I had fun while learning. Thanks!

Perfect! Helped me a lot

I want to ask why you don't need to times 1.96 which is the Z(a/2) to the margin of error?

And you didn't think it was important to explain where the Margin of Error value comes from even though it's in the title?

Wthhh how did he get 0.46 I’m lost

why did you not multiply the critical vale of z with it??

Having the word problem written out first would have been better for me, so I can see the problem

Going through it this way is lost me

Dude who uses a pie chart for a question about confidence intervals😂😂😂😂

Can you plz upload lecture on Theory of Estimation

Thank you so much! This last week of stats kicked my butt and I thought this was going to do the same. You really simplified this in a manner that was easy to understand.

where did he get the .46 for the SE?

that inference he made: that the true population proportion is within 2 sd of sample proportion cleared many questions for me. I was cofused before before watching this. thanks

Does anyone know what program he's using for drawing?

likely voters, cas America doesnt hv compulsory voting…

i got 5.5 out of 10 in my stat quiz all of my marks gained from this video

This guy is all over the place I need to make a video that streamlines the information rather than throwing out all these what if's to confuse people.

I am in love with Sal

Praise Jesus for Khan Academy

I'm confused…but generally Stats is confusing to me