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PRACTICE 6: Applied Aspects of Normal Distribution Theory.

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PLAN:

1. The concept of Standard Normal Distribution.

2. General understanding of Parametric and Non-parametric criteria.

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Standard normal distribution is characterized by the frequent occurrence of observations near the mean and the infrequent occurrence of observations far from the mean. The distribution of observation numbers follows a "bell-shaped" curve.

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Parametric methods are used when the data follows the law of normal distribution.

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Non-parametric methods are used when the data does not follow the law of normal distribution.

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Parametrik va noparametrik mezonlar

Number of Samples

Two Samples

More than Two Samples

Sample Relationship

Independent Samples

Dependent Samples

Independent Samples

Dependent Samples

Measurement Scales:

Metric

Parametric Comparison Methods

 

Student's t-test for independent samples

Student's t-test for dependent samples

One-way ANOVA (Fisher)

Repeated Measures ANOVA

 

Non-parametric Comparison Methods

Ordinal

Mann-Whitney U-test

Wilcoxon T-test (Sign test)

Kruskal-Wallis H

Friedman Test

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THANK YOU FOR YOUR ATTENTION