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