Advanced Statistics > Nonparametric Analysis > One Kolmogorov
Performs One-Sample Kolmogorov-Smirnov Goodness-of-Fit Test.
This procedure compares the distribution of a given sample to the hypothesized distribution defined by a specified cumulative distribution function. Like the chi-square goodness of fit test, the Kolmogorov-Smirnov one-sample test assesses the degree to which an observed pattern of categorical frequencies differs from the pattern that would be expected on the null hypothesis. The test statistic, designated D, is the maximum difference between the cumulative proportions of the two patterns.
An attractive feature of this test is that the distribution of the K-S test statistic itself does not depend on the underlying cumulative distribution function being tested. Another advantage is that it is an exact test
•Applies to continuous distributions.
•Tends to be more sensitive near the center of the distribution than at the tails.
•The distribution must be fully specified.
Dialog box items
Variables: Choose the columns containing the variables to be included in the analysis. To select nonconsecutive columns, press and hold down CTRL, and then click each item. You can select many columns. Use the Ctrl key to select (or unselect) distant columns.
Use quantitative variables (interval or ratio level of measurement).
Distribution: Enter the hypothesized distribution.
Displays a histogram, a histogram with a normal curve, and a boxplot.
Choose to display a histogram for each variable
•Histogram with Normal Curve:
Choose to display a histogram with a normal curve for each variable
•Boxplot of data:
Choose to display a boxplot for each variable
Choose the options you want.
oExclude missing values: Check to excludes rows that have missing values.
oInverted Bar: Check to reverse the axes.
Confidence Level: Enter the level of confidence desired. Enter any number between 0 and 100. Entering 90 will result in a 90% confidence interval. The default is 95%.
1.Open the DataBook nonparam.vstz
2.Select the sheet ks1
3.Choose the tab Statistics, the group Nonparametric Tests and the command One Kolmogorov
4.In Variables, enter A
Report window output
One-sample Kolmogorov-Smirnov Test
Kolmogorov-Smirnov test to compare the distribution of a given sample
alternative hypothesis: true cdf is not the Normal distribution with specified parameters
N Mean Std Deviation Critical Value alpha ks p-value Alt Hypothesis
A 150 12.4336 3.2591 0.1097 0.05 0.0419 0.9510 Reject
Web Resource: NIST e-Handbook of Statistical Methods, 2006
Getting Started: Numeric Formats