ST101 : Introduction to Statistics

Department

Department of Mathematics

Academic Program

Bachelor in mathematics

Type

Compulsory

Credits

03

Prerequisite

Overview

This course introduces students to the basic concepts of statistics, types of statistical data, the concept of statistical population, sample and types of samples. Present statistical data in frequency tables and graphic forms. This course also aims at developing the student's ability to find out measures of central tendency, dispersion, skewness and kurtosis, as well as knowledge of correlation and regression.

Intended learning outcomes

By the end of the course, the student should be able to:

1. Learn about used terms and synonyms in the field of statistics and the types of statistical data collected from the study.

2. Determine the types of statistical data that were collected from the study and the methods of summarizing, displaying and organizing them in simple or compound frequency tables in order to be able to analyze them and reach the required results for the problem in question.

3. Explain the measures of central tendency and their use in representing a large group of data and study the relationship between these measures in addition to knowing other measures such as quartiles, deciles and percentiles. Distinguishing between the types of statistical data and the characteristics of each of them and studying the relationships between the phenomena under study, is also emphasised.

4. Show the homogeneity and dispersion of the statistical data by knowing the most important measures of dispersion and the relationship between these data through identifying the measures of regression, correlation, skewness and kurtosis.

5. Show how to draw and represent statistical data after presenting it in appropriate frequency tables.

6. Distinguish between the types of statistical data, the characteristics of each of them, and their areas of use, while providing the student with the skill of knowing the relationships between the phenomena under study.

7. Analyze statistical data in order to solve some practical problems such as poverty, unemployment, spread of ignorance and disease

8. Prove some theories related to measures of central tendency, dispersion, correlation, and regression.

9. Compare the different statistical measures to conclude the relationship between these measures.

10.Discusse and interpret The graphic representation the statistical data after presenting them in appropriate frequency tables.

11. use statistical data collected from previous studies.

12. Provide solutions to new and different problems related to previously studied phenomena

13. Use different statistical measures to represent the data and find out the relationship between them

14. Apply and use statistical laws according to the study in question

15. Draw and represent the statistical data after presenting them in appropriate frequency tables.

Teaching and learning methods

1. Practical and theoretical lectures

2. Discussion and dialogue

3. Brainstorming

4. Working papers, case study

5. Presentations

6. Videos and e-learning

7. Using software and computer applications such as (MATLAB, Geogebra, Geometer)

Methods of assessments

1. Practical and theoretical lectures

2. Discussion and dialogue

3. Brainstorm

4. Working papers, case study

5. Presentations

6. Videos and e-learning

7. Using software and computer applications such as (MATLAB, Geogebra, Geometer)

Week	Scientific subject	Number of hours	Lecture	Exercises
1	Definition, basic concepts, types and sources of statistical data, and types of samples	4	Ö	Ö
2	Presentation of data using simple and tabulated frequency tables (with periods)	4	Ö	Ö
3	Types of frequency tables, relative and percentage frequency tables	4	Ö	Ö
4	Cumulative Frequency (upward – downward)	4	Ö	Ö
5	First midterm exam (2 hours)
5-6	Graphing using pie charts, simple bar graphs, and multiple bar graphs	4	Ö	Ö
6	Representation using bar graphs, histogram, the polygon, and the iterative curve.	2	Ö	Ö
7	the concept of the summation	2	Ö	Ö
7-8	measures of central tendency	6	Ö	Ö
9	The effect of linear transformations on measures of central tendency	4	Ö	Ö
10	Second midterm exam (2 hours)
10-11	The relationship between measures of central tendency and some other measures	4	Ö	Ö
11-12	measures of dispersion	6	Ö	Ö
13	The effect of linear transformations on measures of dispersion	2	Ö	Ö
13-14	measures of skewness and kurtosis	4	Ö	Ö
14	Correlation and regression	2	Ö	Ö
15-16	Final exam
	Total	56

References:

Title of references	Publisher	Version	Author	Located
Applied Statistics	University of Tripoli	First	Dr. Ali Abd al Salam al Ammari Dr. Ali Hussein Al-Ajili	Public Libraries

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