Statistics 101: Sample Proportions

In this Statistics 101 video, we learn about the fundamentals of sample proportions. To support the channel and signup for your FREE trial to The Great Courses Plus visit here: ow.ly/doxR30njfZy
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Пікірлер: 52

  • @rbewoor
    @rbewoor5 жыл бұрын

    Brandon the way you present and explain these concepts, you are truly gifted! Your own clarity of concepts and the effort put in to make these dense concepts clear to the viewer are very obvious. Kudos sir!

  • @BrandonFoltz

    @BrandonFoltz

    5 жыл бұрын

    Thank you! :)

  • @j.anderson6503
    @j.anderson65035 жыл бұрын

    I've been using your videos to refresh my basic stats for my final dissertation defense in biostatistics. Thank you for these videos, they are fantastic!

  • @ariacube07
    @ariacube075 жыл бұрын

    i am binge-watching your videos for my statistics exam. wish me luck. and thank you for making such helpful and understandable statistics materials.

  • @kailashkarwa221
    @kailashkarwa2215 жыл бұрын

    Thanks for simplifying stats.Keep enlightening us.

  • @Shreyash709
    @Shreyash7095 жыл бұрын

    It's a really great video to understand. I believe lots of effort and knowledge is required to create such a type of tutorial. really thanks

  • @evanssabawo2499
    @evanssabawo24992 жыл бұрын

    Brandon you are explaining the concepts very clearly

  • @kashishjain78
    @kashishjain784 жыл бұрын

    11:18 how we substitute the value of population proportion p with sample proportion p-bar which is 0.567

  • @abdullahbabor4876

    @abdullahbabor4876

    4 жыл бұрын

    I am confused too!!

  • @prabhudaskamath1353
    @prabhudaskamath13534 жыл бұрын

    Thank you Brandon. You are the best

  • @tunahangumuskaya5356
    @tunahangumuskaya53565 жыл бұрын

    Hi Brandon, You can create your sampling distribution with only one sample because the rule of the approximation to normal is fine for this example. Am I right? or Can you create sampling distribution with only one sample in general? Thank you in advance.

  • @yonasgetachew3361
    @yonasgetachew33614 жыл бұрын

    thank you kindly, this was really helpful...

  • @adesomojujames4095
    @adesomojujames40958 ай бұрын

    thank you so much B, it is goign a long way in my python work

  • @AJ-et3vf
    @AJ-et3vf2 жыл бұрын

    awesome video! THank you!

  • @kinjalvora3352
    @kinjalvora33523 жыл бұрын

    Hi Brandon, so there are multiple ways of calculating Z-scores. If the sample is regular Z = x-xbar / standard deviation if it is a sampling distribution: Z = xbar - E(xbar) / (standard_deviation / sqrt(n)) if it is a sampling proportion: Z = pbar-E(pbar)/sqrt(p(1-p)/n) Can someone please explain when to use which one? what is the difference between sampling distribution and sampling proportion? Also how does one come with the formula for standard deviation as sqrt(p(1-p)/n)

  • @maajin3410
    @maajin34105 жыл бұрын

    14:38 the mean(at z=0) that was used, is that population proportion P ? I am a bit confused.. can some one help me with this?

  • @jaweriaraza1463
    @jaweriaraza1463 Жыл бұрын

    Best channel i found... best videos and playlist

  • @BrandonFoltz

    @BrandonFoltz

    Жыл бұрын

    Glad you enjoy it!

  • @cococnk388
    @cococnk388 Жыл бұрын

    You are the best sir

  • @fineschaumburg5211
    @fineschaumburg52114 жыл бұрын

    Dear Brandon, many thanks for all your fantastic videos! One question: in minute 11.01, when calculating the standard error, the formula demands to put in a value for "p" (population proportion), but instead you fill in the value 0.567, which was previously calculated as a value for "p bar" (sample proportion). Why is that so? Do you consider that "p" and "p-bar" are the same?

  • @vulnerablerummy

    @vulnerablerummy

    4 жыл бұрын

    i'm gonna assume they're the same for now since he only takes one sample proportion (one test to find E(p-bar)), whereas in previous videos on sample means, Mr. Brandon takes multiple samples (9 test to find E(x-bar)). add a grain of salt to that since this is only my hypothesis

  • @tallajayakumar5277

    @tallajayakumar5277

    3 жыл бұрын

    Hello, I've got the same doubt after rewatching the video I've got clarity. It's because population proportion is the expected value of the sample proportions E(p(bar)) = P. And E(p(bar)) is the average of the sample proportions that we take. So here E(p(bar)) = P = avg(all(p(bar))). there is only one p(bar). so P = p(bar)

  • @MuhammedShiharMZaid
    @MuhammedShiharMZaid5 жыл бұрын

    Thank you boss!

  • @manzoorwanigeo2335
    @manzoorwanigeo23355 жыл бұрын

    Very nice.. Thanks sir

  • @rbmian
    @rbmian5 жыл бұрын

    You literally saved my educational career, thank you.

  • @ericadhikari1598
    @ericadhikari159810 ай бұрын

    loved it

  • @swethakulkarni3563
    @swethakulkarni35634 жыл бұрын

    timestamp 16:43: Why 0.55 is on the left side of 0, since it is a positive number, can’t it be between 0 and 0.6572 ?

  • @vincenzo4259
    @vincenzo42592 жыл бұрын

    Thanks

  • @priyaadhikari2004
    @priyaadhikari20043 жыл бұрын

    is sample proportion & population proportion are same?

  • @kashishjain78
    @kashishjain784 жыл бұрын

    11:18, In calculating the standard error of proportion we need population proportion then why you are putting value of sample proportion

  • @adeyemiadeyanju2247
    @adeyemiadeyanju2247 Жыл бұрын

    Hi Brandon, thanks for this wonderful video but I'm a little confused in 10:19, i thought the formula for z-score is "z = (x-μ)/σ," are there different formulas in calculating z-score for standard error for mean and standard error for proportion ?

  • @mohdibrahim2173

    @mohdibrahim2173

    8 ай бұрын

    It's sampling distribution of sampling proportion standard error of mean is as standard deviation of sampling distribution. Maybe that is the reason of using standard error instead of standard deviation of population or sample

  • @mohdibrahim2173

    @mohdibrahim2173

    8 ай бұрын

    Standard error of mean and standard deviations of sampling distribution are same

  • @manzoorwanigeo2335
    @manzoorwanigeo23355 жыл бұрын

    How can we get a relationship when independent variable is qualitative in nature and dependent variable is in quantative

  • @BrandonFoltz

    @BrandonFoltz

    5 жыл бұрын

    Hello! A few ways, but easiest may be to set up dummy variables for the IVs and then use regression.

  • @StocksKingPRO
    @StocksKingPRO5 жыл бұрын

    Sorry, what are these tests you are running at 11:30 ? Before you said n/N and its relationship to 5%. Now you are saying stuff about np and n(1-p) and their relationship to 5%. Whats going on?

  • @wackojacko1997

    @wackojacko1997

    Жыл бұрын

    @BrandonFoltz -- I have the same question as the OP above. I assume that I'll find out why you are using 5 to determine if you can use the normal distribution in a prior video, but when I see it here in the video, I have no idea where it comes from. The 5% that Ethan mentions I think is just a test of significance and unrelated to the 5 mentioned at 11:30 (I think?).

  • @kufreibanga7980
    @kufreibanga79802 жыл бұрын

    Okay. So what if the proportion is not normally distributed

  • @laxmimishra6012
    @laxmimishra60122 жыл бұрын

    Thank you sir for such a beautiful knowledge 🙏

  • @Ilemaurice687

    @Ilemaurice687

    2 жыл бұрын

    Do u do statistics plz

  • @laxmimishra6012

    @laxmimishra6012

    2 жыл бұрын

    @@Ilemaurice687 Yes sir

  • @Ilemaurice687

    @Ilemaurice687

    2 жыл бұрын

    @@laxmimishra6012 help me plz i will send u questions plzz cant find someone

  • @Ilemaurice687

    @Ilemaurice687

    2 жыл бұрын

    These people dont even reply which have done videos on KZread they r not helping

  • @Ilemaurice687

    @Ilemaurice687

    2 жыл бұрын

    @@laxmimishra6012 plz if u can help me i will sen u some questions will you be able to help me pleaseee

  • @robertasalatioan
    @robertasalatioan4 жыл бұрын

    Best

  • @user-cy9zf4oz2i
    @user-cy9zf4oz2i5 ай бұрын

    "I think we forgot to mention that if the population proportion is known, we would have had to use it."