Chi-square distribution introduction | Probability and Statistics | Khan Academy

Chi-Square Distribution Introduction

Watch the next lesson: https://www.khanacademy.org/math/probability/statistics-inferential/chi-square/v/pearson-s-chi-square-test-goodness-of-fit?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics

Missed the previous lesson?
https://www.khanacademy.org/math/probability/statistics-inferential/hypothesis-testing-two-samples/v/hypothesis-test-comparing-population-proportions?utm_source=YT&utm_medium=Desc&utm_campaign=ProbabilityandStatistics

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11 replies
  1. Arcadius Fox
    Arcadius Fox says:

    How does this distribution approach standard normal distribution (mean = 0) as df increases if the mean is increasing? Isn't it just approaching a normal distribution (not standard normal)?

    Reply
  2. Jess Stuart
    Jess Stuart says:

    You forgot to normalize the new chi-squared distributions. You need to make sure the multiple integral ("volume") under the multivariate probability distribution is equal to 1.

    Reply
  3. JelinekFS
    JelinekFS says:

    Actually this introduction vid seems to be the only of your chi-square vids I´m having a hard time to understand haha. I guess I shouldn´t have skipped the basics.

    Reply
  4. Sumia The Angel
    Sumia The Angel says:

    This guy's classroom probably has more A's than an Energizer factory.

    ~Reus Vult Ave Sumia, Pegasus Breeder and Root Beer Connoisseur

    Reply
  5. kcozgrove
    kcozgrove says:

    the normal distribution is actually "standard normal" with (0,1) AND the degrees of freedom is N-1.  NOT 1.   If your gonna post stats stuff get it right

    Reply

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