Introduction to Hypothesis testing for Normal distribution | ExamSolutions

Introduction to Hypothesis testing for Normal distribution
In this tutorial, we learn how to conduct a hypothesis test for normal distribution using p values method with 6 simple steps.
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Пікірлер: 47

  • @chersymale
    @chersymale2 жыл бұрын

    Spent an hour reading the notes and trying to figure this out, then I searched for it on KZread, found this awesome video and understood it in less than 15 minutes. Thanks for the great video!

  • @sim5099
    @sim50993 жыл бұрын

    I have an exam in a few hours and this happens to be one of the topics covered, thanks for clarity!

  • @c.1304
    @c.13043 жыл бұрын

    Thank you for making this! I finally get when to reject/accept the null hypothesis

  • @flo6865
    @flo68653 жыл бұрын

    Thanks for the straightforward explanation and including the calculator!

  • @eri4232
    @eri42322 жыл бұрын

    thank you so much!! your explanation was amazing compared to the other videos I watched, you saved me here

  • @hannahclarke9902
    @hannahclarke99022 жыл бұрын

    I have an A level in two days and needed a quick recap :') ur a legend dude thank u

  • @geraldidzakwan8666
    @geraldidzakwan866611 ай бұрын

    I just understand what p-value is about from this video, thanks a ton!

  • @samad5125
    @samad51253 жыл бұрын

    Great video man I was waiting for this topic for soo long

  • @jasminedaniels9503
    @jasminedaniels95033 жыл бұрын

    Great video and revision-thank you tons :)

  • @jaigoyal2794
    @jaigoyal27942 жыл бұрын

    Thanks a lot - really helpful!

  • @austinchan4575
    @austinchan4575 Жыл бұрын

    Thank you so much, you teach better than my teacher does!

  • @Louise-vk6gl
    @Louise-vk6gl3 жыл бұрын

    Very useful, thank you!

  • @davescruby30
    @davescruby302 жыл бұрын

    really useful video, thanks

  • @kiwihour333
    @kiwihour3332 жыл бұрын

    If it is a 2 tailed test then use the P(xbar > or < value) based on whether or not xbar is less than or greater than u. (less than u, means P(xbar < value) and opposite for greater than u)

  • @tomcowen376
    @tomcowen3762 жыл бұрын

    been trying to understand this for hours, finally clicked because of this

  • @rahatkhan919
    @rahatkhan9197 ай бұрын

    Very good video, clear explanation. Thank you.

  • @IDGOCH
    @IDGOCHАй бұрын

    Thank you so much.

  • @erandyakithmini3613
    @erandyakithmini36133 жыл бұрын

    thank you very much .....

  • @aalexandra._
    @aalexandra._ Жыл бұрын

    Thank you!!!!

  • @helintaha1849
    @helintaha18492 жыл бұрын

    THANK YOU

  • @thesuitedsaltshaker8388
    @thesuitedsaltshaker8388 Жыл бұрын

    thank you sm

  • @Euanker
    @Euanker2 жыл бұрын

    Tysm

  • @rajakumaran9933
    @rajakumaran99333 жыл бұрын

    excellnt

  • @freddierobinson9587
    @freddierobinson95872 жыл бұрын

    is it written X bar N(mean, (standard deviation)squared, divide by n) or is the squared squaring both the standard deviation and the n ? so (standard deviation/ n ) squared. Thank you in advance

  • @freddierobinson9587

    @freddierobinson9587

    2 жыл бұрын

    I get it now , dont worry :)

  • @MrLProductionsOfficial
    @MrLProductionsOfficial3 жыл бұрын

    Stats final in 3 days for A-Level Math course in one year. Really need to pass this to get an A*. I think this has helped, thank you.

  • @tiegan7158
    @tiegan71583 жыл бұрын

    It's hard to tell if the xbar ~ N(mu, 6²/n) or if the 6 is sigma

  • @ExamSolutions_Maths

    @ExamSolutions_Maths

    3 жыл бұрын

    It's a sigma not 6

  • @a.nelprober4971
    @a.nelprober4971 Жыл бұрын

    What happened to Stuart sidders

  • @jacobsuresh3743
    @jacobsuresh37433 жыл бұрын

    nice one bro btw u added a david moyes interview to the normal distribution playlist

  • @ExamSolutions_Maths

    @ExamSolutions_Maths

    3 жыл бұрын

    Thanks for the heads up bud.

  • @fahrenheit2101
    @fahrenheit21013 жыл бұрын

    Why is the sample mean distribution's variance divided by the number of samples?

  • @ExamSolutions_Maths

    @ExamSolutions_Maths

    2 жыл бұрын

    YOu can see the proof in this video kzread.info/dash/bejne/fpd5w9yJZJyYZrg.html

  • @jaaaaah762
    @jaaaaah7622 жыл бұрын

    GOAT

  • @benstokes3760
    @benstokes37603 жыл бұрын

    Nice vid. This is a different person speaking tho right compared to the OG exam solutions?

  • @ExamSolutions_Maths

    @ExamSolutions_Maths

    3 жыл бұрын

    Thanks Ben. Yep different guy. I'm Michael. The OG has now retired.

  • @jasonnwokeji4107

    @jasonnwokeji4107

    3 жыл бұрын

    @@ExamSolutions_Maths i want to personally thank him for his service!!

  • @omarkhan1970
    @omarkhan19702 жыл бұрын

    Is this suitable for the CIE exam board for A level

  • @ExamSolutions_Maths

    @ExamSolutions_Maths

    2 жыл бұрын

    For the CIE exam board, you'll need to know how to conduct hypothesis testing for Binomial and Poisson Distributions.

  • @brettncube4564
    @brettncube45643 жыл бұрын

    under which conditions does one resort to t-dist?

  • @Hello_there_obi
    @Hello_there_obi3 ай бұрын

    Big mistake to politicise maths. Keep it neutral 🤦🏻

  • @ExamSolutions_Maths

    @ExamSolutions_Maths

    3 ай бұрын

    Oh dear

  • @Hello_there_obi

    @Hello_there_obi

    3 ай бұрын

    @@ExamSolutions_Maths just saying. Politics don’t belong in the classroom. Unless it’s a politics class lol. But even then you can’t show overt bias 🤷🏻

  • @offixial_jj3573

    @offixial_jj3573

    2 ай бұрын

    I think it is fair to politicise maths especially for normal distribution as it makes it easier to understand. Analogies are useful and maths is used everywhere.

  • @offixial_jj3573

    @offixial_jj3573

    2 ай бұрын

    Though , it would've been better to use another analogy (not coronavirus) as this topic can be sensitive to some people... just saying, but you did use other examples too anyway. Thanks examsolutions for your content, I have been making use of your channel as my exams are coming up, it has been helpful.

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