ST302 : Nonparametric Methods

Department

Department of Statistics

Academic Program

Bachelor in Statistics

Type

Compulsory

Credits

03

Prerequisite

ST102

Overview

· To introduce the principles and applications of commonly used nonparametric methods.

· To compare these methods to their parametric counter parts.

· To introduce the basic methods for analyzing contingency tables.

· The student learns how to using statistical program to perform various statistical tests .

Intended learning outcomes

أ‌. Knowledge & understand

أ.1

Lean about non parametric tests

أ.2

Identify different types of non parametric tests for one , two and more samples

أ.3

The student explains different types of non parametric tests for independent and dependent samples

أ.4

The student understand how to using the statistic program

ب‌. Mental skills

ب.1

The student`s ability to distinguish between societies using no parametric statistics

ب.2

The student`s ability to know the appropriate test to use based on the nature of the data

ب.3

The student`s ability to distinguish between the independent and dependent samples

ب.4

The student`s ability to analyze data using statistical programming

ت‌. Practical & professional skills

ج.1

The student should be able to formulating statistical hypotheses related specific problem

ج.2

The student should be able to selecting the appropriate non parametric test for the research problem

ج.3

The student should be able to applying non parametric tests and comparing them

ج.4

The student should be able to using statistical programs

ث‌. Generic and transferable skills

د.1

The ability to analyze and interpret the results using what has been studied

د.2

The ability to write scientific research based on parametric and non parametric tests

د.3

The ability to work as a team to apply various tests

د.4

The ability to make presentations using computers and the internet

Teaching and learning methods

1- Lectures

2- Exercises and discussions

3- Statistical software (SPSS) or R

Methods of assessments

First evaluation

The first exam

25%

Sixth week

Second evaluation

The second exam

25%

Twelfth week

Final evaluation

The final exam

50%

Sixteenth week

Total

100 Point

100%

Course (contents)

Scientific topic

Number of Hours

Lecture

laboratory

Exercises

discussion

Number of weeks

Basic concepts of non-parametric tests and some distributions

4

1

1

1

Tests based on the binomial distribution: the binomial test

8

2

2

2

Signal Test

4

1

1

1

McNemar Test

4

1

1

1

Autonomy Test

4

1

1

1

Homogeneity Test

4

1

1

1

Broker Test

4

1

1

1

Rank-based tests and methods: 1- Mann and Tenney test

4

1

1

1

2- Kruskal Willys test

4

1

1

1

3- Wilkeson test

4

1

1

1

4- Friedman's test

4

1

1

1

Conformity Quality Tests

8

2

1

1

2

Total

56

14

(References )

Bibliography

Publisher

Version

Author

Where it is located

Rapporteur notes

Note prepared by the course instructor

Textbooks

Willey

Practical nonparametric statistics

1989

W.J.Conver

In the library

Help Books

Scientific Journals

Internet Sites

Other