Syllabus (PSYCHOLOGY)

Course Type: MAJ-2

Semester: 2

Course Code: BPSYMAJ02T

Course Title: Application of Statistics in Behavioural Sciences

(L-P-Tu): 5-0-1

Credit: 6

Practical/Theory: Theory

Course Objective: To educates students with basic concept of statistics and its application in behavioral sciences.

Learning Outcome: After completing the course the students will learn 1) The need for quantification of psychological variables in research, basics use of descriptive statistics in psychological researches, 2) Understanding the concept and comparison between quantitative a

Course Contents:

UNIT 1: INTRODUCTION:

Role of Statistics in Psychological Research; Descriptive and Inferential Statistics; Variables: Concept, types and controlling techniques, Measurement Scales

UNIT 2: DATA ORGANIZATION AND GRAPHICAL REPRESENTATION

Organizing Quantitative Data; constructing a grouped frequency distribution, a relative frequency distribution and a cumulative frequency distribution; Computation of Percentiles and Percentile Ranks; Graphical representation of data: Histogram; Frequency Polygon; Bar Diagram; Pie Chart; Cumulative Frequency Graph; Factors Affecting the Shape of Graphs

UNIT 3: MEASURES OF CENTRAL TENDENCY AND VARIABILITY

Mean, Median& Mode; Properties and Relative Advantages and Disadvantages, Range; Interquartile and the Semi-Interquartile Range; Average Deviation; Variance; Standard Deviation; Properties and Comparison of Measures of Variability; Standard Scores (z-score)

UNIT 4: THE NORMAL DISTRIBUTION

The Nature and Properties of the Normal Probability Distribution; The Standard Normal Curve: The Normal Curve as a Model for Real Variables; The Normal Curve as a Model for Sampling Distributions; Properties of z scores; Divergence from Normality (Skewness and Kurtosis)

UNIT 5: CORRELATION

Meaning, Historical Perspective; Scatter plot of Bivariate Distributions; Calculating Pearson’s Correlation Coefficient, Spearman’s Rank-Order Correlation Coefficient

UNIT 6: INTRODUCTION TO INFERENTIAL STATISTICS AND HYPOTHESIS TESTING

The meaning of Statistical Inference and Hypothesis Testing; Null and the Alternative Hypotheses; One-Tailed and Two-Tailed Tests; Steps for Hypothesis Testing; t-test-concept, assumption and computation; Analysis of Variance -Concept, assumptions and computation of One -Way ANOVA, Post hoc analysis; The Statistical Decision regarding Retention and Rejection of Null Hypothesis.I nterpreting the result of hypothesis testing: A Statistically Significant Difference versus a Practically Important Difference; Errors in Hypothesis Testing; Levels of Significance versus p-Values, Degrees of Freedom for Tests.

REFERENCES:

• Aron, A., Aron, E.N., & Coups, E.J. (2007).Statistics for Psychology (4th Ed). India: Prentice Hall .
• Chadha, N.K. (1991) Statistics for Behavioral and Social Sciences. Reliance Pub. House: New Delhi
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• Mangal, S.K. (2012).Statistics in Psychology and Education (2nd Ed.). NewDelhi: PHI learning Pvt. Ltd.
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