Kolmogorov-smirnov test for normality

Introduction

In the realm of statistical analysis, ensuring the data conforms to a normal distribution is pivotal.

Researchers often turn to Normality Tests in SPSS to evaluate the distribution of their data.

Test of normality spss kolmogorov

As statistical significance relies on certain assumptions, assessing normality becomes a crucial step in the analytical process. This blog post delves into the intricacies of Normality Tests, shedding light on tools like the Kolmogorov-Smirnov test and Shapiro-Wilk test, and exploring the steps involved in examining normal distribution using SPSS.

Normal Distribution Test

A Normal Distribution Test, as the name implies, is a statistical method employed to determine if a dataset follows a normal distribution.

The assumption of normality is fundamental in various statistical analyses, such as t-tests and ANOVA. In the context of SPSS, researchers utilize tests like the Kolmogorov-Smirnov test and Shapiro-Wilk test to ascertain whether their data conforms to the bell-shaped curve characteristic of a normal distribution.

This initial ste

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