How do you use a K-S table?

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The critical value of D for samples where n1=n2 and is ≤ 40, the K-S table for two sample case is used. When n1 and/or n2 > 40 then the K-S table for large samples of two sample test should be used. The null hypothesis is accepted if the calculated value is less than the table value and vice-versa.

How is K-S value calculated?

First step is to split predicted probability into 10 parts (decile) and then compute the cumulative % of events and non-events in each decile and check the decile where difference is maximum (as shown in the image below.) In the image below, KS is 57.8% and it is at third decile. KS curve is shown below.

How do I run a Kolmogorov-Smirnov test in Python?

To perform a Kolmogorov-Smirnov test in Python we can use the scipy. stats. kstest() for a one-sample test or scipy. stats.

What is KS statistic used for?

The Kolmogorov-Smirnov test (Chakravart, Laha, and Roy, 1967) is used to decide if a sample comes from a population with a specific distribution. where n(i) is the number of points less than Yi and the Yi are ordered from smallest to largest value.

How do I do a KS test in Excel?

How to Perform a Kolmogorov-Smirnov Test in Excel

Step 1: Enter the Data. First, let’s enter the values for a dataset with a sample size of n = 20:
Step 2: Calculate Actual vs. Expected Values from Normal Distribution.
Step 3: Interpret the Results.

How do you interpret K-S results?

The p-value returned by the k-s test has the same interpretation as other p-values. You reject the null hypothesis that the two samples were drawn from the same distribution if the p-value is less than your significance level.

How do I know if my data is normally distributed Kolmogorov-Smirnov?

The Kolmogorov-Smirnov test is used to test the null hypothesis that a set of data comes from a Normal distribution. The Kolmogorov Smirnov test produces test statistics that are used (along with a degrees of freedom parameter) to test for normality. Here we see that the Kolmogorov Smirnov statistic takes value . 025.