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Course Contents

1.Introduction to Statistics Introduction to basic concepts and terminology, data collection, the four basic activities in Statistics, Measurement scales, Types of Data. 2. Presentation of Data Classification, Frequency distribution and its different forms, Graphs and Charts 3. Measure of Central Tendency: Introduction to Measures of central tendency, Arithmetic mean, median and mode, Empirical Relation between Mean, Median and Mode. 4. Measure of Dispersion: Introduction to measures of dispersion. Absolute and relative measures of dispersion. Empirical Relation Between measure of dispersion. Properties of variance and Standard Deviation. Z-Score. 5. Elements of Probability and Probability Distribution: Random Experiment, Sample space, Event, Counting Sample points, Probability of an event, Venn Diagram, Tree Diagram, Laws of probability-Addition and Multiplication Rules of Probability etc. Probability distribution, Introduction to discrete and continuous probability distribution and application of Binomial Probability distribution. 6. Correlation and Simple Linear Regression Correlation coefficient and its interpretation, Rank Correlation, Bi-Serial and Point Bi-serial correlation. Pearson product moment correlation. Introduction to Regression, Scatter Diagram, Simple linear regression for on e independent variable, fitting of the regression line. Use of regression line for estimation and prediction.

Course Synopsis

Course Objectives: This course is designed to acquaint the students with several of the major quantitative techniques used in psychology and social sciences. It treats quantification as an integral part of social science research, and examines the application of standard statistical methods. The primary goal of this course is to develop critical thinking skills necessary for students to evaluate primary, empirical research.

Course Learning Outcomes

1. Understanding about inferential statistics will be developed. 2. Understanding of SPSS for data analysis 3. Critical thinking will be developed to evaluate primary and empirical research.


Lecture 1

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Lecture 2

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