1. To develop an understanding of various statistical techniques in terms of their assumptions, applications and limitations.
2. To acquire competencies to organize and analyze data.
3. To acquire elementary knowledge about computer use in Psychology for statistical analysis.
Types of statistics - Descriptive and inferential Statistic, Parametric and non parametric statistics; Drawing of frequency distribution; Graphical representation of grouped data - Frequency Polygon, Histogram
Purpose and types of measures, Characteristics of Mean, Median and Mode; Computation of Mean, Median and Mode
Concept of variability - Range, Semi Inter – Quartile Range, Standard Deviation
Properties and deviation from NPC
The concept of correlation; Pearson’s correlation (by assumed mean and by actual mean, only for ungrouped data)
Ø Garrett H. E. Statistics in Psychology and Education Vakils. Feffer & Simons Ltd.
Ø Mangal, S.K. Statistics in Psychology and Education McGraw Hill Publication.
Ø Minium, E.W. King, B.M. & Bear G. (1993). Statistical Reasoning in Psychology and Education, New York, John Wiley.
Ø Broota, K.D. (1992). Experimental Design in Behavioral Research. New Delhi : Wiley Eastern.
Ø Fergusen, G.A. (1971). Statistical Analysis in Psychology and Education. 3rd Edition, New Delhi, McGraw Hill.
Ø Guilford, J.P. : Fundamental Statistics in Psychology and Education, New York, McGraw Hill (Asian Student Edition).
Ø Sen, A.K. (1976). Sandlers ‘A’ Test. A Simple Statistics for correlated samples, Journal of Psychological Researches, 20, pp 16 to 20.
Ø Siegel, S. (1994). Non-Parametric Statistics New York McGraw Hill.
Ø Welkowitz, J. Ewen, R.B. and Cohen, J. (1982). Introduction to Statistics for Behavioral Sciences. Academic Press, N.Y.
Ø Winer, B.J. (1971). Statistical Principles in Experimental Designs. McGraw Hill, New York.