EPSY 314 : Educational descriptive statistics

Department

Department of Educational and Psychological Sciences

Academic Program

Bachelor in Education and Psychology

Type

Compulsory

Credits

02

Prerequisite

Overview

The course of educational descriptive statistics aims to introduce the student to the concepts of descriptive statistics and statistical methods that can be used to describe, summarize and represent data in psychological and educational research and their importance in addressing different types of variables and representing them in modern ways, using probability and moderate distribution, familiarity with sample distribution, hypothesis testing, detection of simple linear correlation (Spearman - Pearson), its interpretation and statistical significance. It also aims to introduce the student to the differences between two averages and its statistical significance, where the student learns about the concept of central tendency and the methods used to calculate it (average - median - mode) for a set of data. As well as measures of dispersion to calculate the variance of a set of data and deduce the relationship between two variables by knowing how to calculate the correlation coefficient and simple regression.

Intended learning outcomes

The student must be able to:

1. The student should know the concept of statistics, its types and origins

2. The student should list the samples, their types, and methods of selection.

3. The student should explain how to organize the data tabulation, frequency categories - frequency distribution

4. The student should explain how to form frequency tables of continuous and discrete data and categories and their extent

5. The student should explain the combined frequency distribution of the grade categories, the graph of the frequency tables and the data.

6. The student should clarify the concept of graphical representation, measure of central tendency, correlation coefficients

7. The student should analyze the concept of statistics, its types and origins

8. The student should review the samples, their types, and methods of selection.

9. The student should apply examples of how data is organized and tabulated,

10. The student should analyze the composition and extent of frequency tables of continuous and discrete data and categories

11. The student should mention the steps of graphical representation of frequency tables and data: (representation with graphical bars, representation with a graphic circle).

12. The student should analyze Pearson's correlation coefficient - methods of calculating it

13. Employing the concept of statistics, its types and origins

14. Selection and application of samples

15. Organize and tabulate data in search

16. The student should present a visual presentation on the composition and extent of frequency tables for continuous and discrete data and categories

17. Apply electronic examples of the aggregate frequency distribution of grade categories, graphical representation of frequency tables and data.

18. The student should design a worksheet in which he explains examples of correlation coefficients (rank correlation coefficient - methods of calculating it).

19. The student should communicate with his colleagues linguistically and electronically

20. Be able to work in a team, especially while conducting group research

21. The student should use electronic learning resources and educational websites related to the course.

22. Be able to form positive relationships with colleagues during discussions and collaborative work

Teaching and learning methods

Lecture

Brainstorming

· Collaborative Learning

· Present examples and problems during the lecture.

· The use of semi-internet in enhancing the content of the article.

· Share the Tala

· Assigning students assignments.

Methods of assessments

First written test of the style of objective tests or short essay 15 15% estimated weight varies from one lecturer to another

A second written test of the type of objective tests or short essay an hour and a half 15 15% estimated weight varies from one lecturer to another

Final written exam of the type of objective tests or short essay an hour and a half 60 60% estimated weight varies from one lecturer to another

Scientific activities (e.g. writing a report or making a presentation) throughout the semester 10 10% estimated weight varies from lecturer to lecturer

Course Content

The week	Scientific topic
1	Definition of statistics, types of statistics (descriptive statistics - inferential statistics)
2	The origin and development of statistics
3	Samples - types, sample selection methods
4	Organize data data tab
5	First midterm exam (two hours)
6	Frequency Categories - Frequency Distribution
7	Configure frequency tables for continuous and discrete data
8	Number of categories - their range - their limits - the center of the categories (mid-category)
9	Aggregated frequency distribution of grade categories (ascending and falling cumulative frequency distribution)
10	Second midterm exam (two hours)
11	Graphical representation of frequency tables and data: (graph with bars, represent with a graphical circle).
12	A histogram graph, a graph with a frequency polygon. Measure of central tendency (arithmetic mean - median - mode)
13	Measures of dispersion (absolute range, standard deviation, variance, coefficient of variation, torsion coefficient). Correlation coefficients (Pearson's correlation coefficient - methods of calculation)
14	Correlation coefficients (rank correlation coefficient - methods of calculation) Regression coefficient - methods of calculation.
15-16	Final Exam
	Total

References

Reference title	Publisher	Published	Author	Country of publication
Descriptive statistics in educational sciences	Dar Al Masirah	2007	Adnan Hussein Aljardi	Oman
Statistical analysis in educational sciences	Anglo-Egyptian	2004	Ikhlas Muhammad Abdul hafeez and others	Egypt
Descriptive and inferential statistics in psychology - education and sociology	Shugairi Library for Publishing and Distribution	2009	Zakaria El-Sherbiny	Egypt

Quranic Studies 1 (AR101)
Arabic language 1 (AR103)
Fundamentals of Education (EPSY101)
computer 1 (CS100)
General English1 (EN100)
General Psychology (EPSY 100)
The Basics of Scientific Research (EPSY 111)
communication skills (EPSY 112)
Emotional and Moral Education (EPSY 113)
Quranic studies2 (AR102)
Philosophy of education (ُُEPSY 123)
Developmental Psychology (EPSY 203)
General Teaching Methods (EPSY 201)
Physiological psychology (EPSY 122)
General English2 (EN101)
Arabic language 2 (AR104)
Computer 2 (CS101)
School violence psychology (EPSY 121)
Basics Of Curriculums (EPSY 202)
Psychology for Especial Groups (EPSY211)
Arabic language 3 (AR105)
Psychology of motivations and emotions (EPSY 214)
Psychology schools (EPSY 213)
Educational Psychology (EPSY 200)
Social Psychology (EPSY 212)
Psychology of Play (EPSY 221)
Research Methods (EPSY301)
Arabic language 4 (AR106)
Learning Difficulties (EPSY 222)
Curriculum Development (EPSY 223)
Psychology of Personalities (EPSY 224)
Contemporary educational trends (EPSY 225)
Measurements and Evaluation (EPSY 302)
Psychological Health (EPSY 401)
Teaching learning Aids (EPSY 303)
Special teaching methods (EPSY 311)
Educational and psychological texts and terms (EPSY 312)
Linguistic psychology (EPSY 313)
Educational descriptive statistics (EPSY 314)
Intelligence and its parameters (EPSY 315)
The psychology of individual differences (EPSY 322)
Education Technology Applications (EPSY 328)
Research Hall in Education and Psychology (EPSY 327)
Inferential Statistics (EPSY 326)
Teaching Ethics (EPSY 325)
Thinking Skills (EPSY 324)
Diagnostic Tests and Scales (EPSY 323)
Learning Theories (EPSY 321)
Teaching applications (EPSY 411)
Positive Psychology (EPSY 412)
Cognitive Psychology (EPSY 413)
School Management (EPSY 414)
Graduation Project (EPSY 416)
Educational guidance and counseling (EPSY415)
Teaching Practice (EPSY 402)
Graduation Project 2 (EPSY 422)