{"id":139,"date":"2018-03-12T12:13:00","date_gmt":"2018-03-12T11:13:00","guid":{"rendered":"https:\/\/kindsonthegenius.com\/blog\/2018\/03\/12\/kolmogorov-smirnov-goodness-of-fit-test\/"},"modified":"2020-11-05T14:03:38","modified_gmt":"2020-11-05T13:03:38","slug":"kolmogorov-smirnov-goodness-of-fit-test","status":"publish","type":"post","link":"https:\/\/kindsonthegenius.com\/blog\/kolmogorov-smirnov-goodness-of-fit-test\/","title":{"rendered":"Kolmogorov-Smirnov Goodness of Fit Test"},"content":{"rendered":"
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In this lesson, we are going to discuss the Kolmogorov-Smirnov Goodness of Fit test, how and when to perform it.
Remember that the Kolmogorov-Smirnov Goodness of Fit test is one of the non-parametric tests<\/a> discussed previously. See What are Non-Parametric Tests<\/a><\/p>\n

Content<\/b>
Here we are going to cover<\/p>\n

    \n
  1. What is Kolmogorov-Smrmov Test<\/a><\/li>\n
  2. When to use the K-S Test<\/a> <\/li>\n
  3. How to Perform the Kolmogorov-Smirmov Test<\/a><\/li>\n
  4. Komogorove-Smirnov Test P-Value Table<\/a><\/li>\n
  5. Pros and Cons of the Kolmogorov-Smirnov Test<\/a><\/li>\n
  6. Final Notes<\/a><\/li>\n<\/ol>\n

    <\/ins>
    <\/p>\n

    1. What is the Kolmogorov-Smirnov Test(K-S Test)?<\/h2>\n

    <\/b><\/p>\n

    \n

    The K-S Goodness of Fit Test is a non-parametric test that compares a given data with a known distribution and helps you determine if they have the same distribution.
    The K-S test does not assume any particular distribution.<\/p>\n

    <\/p>\n

    2. When to Apply the K-S Test<\/h2>\n

    <\/b><\/p>\n

    \n

    The K-S test is applied to test the normality of your data to see if it comes from a normally-distributed population.
    It is also used in     Analyis of Variance(ANOVA)<\/a> to check the assumption of normality.
    In summary, the K-S test can be used to answer the following questions:<\/p>\n