Coming soon
Psychological Statistics - II
1. To develop an understanding of various statistical techniques in terms of their assumptions, applications and limitations. 2. To acquire elementary knowledge about computer use in Psychology for Statistical analysis
Hypothesis testing and making inferences : Sampling , standard error : mean, (Small and Large Samples), df.
Significance of difference between means : Null Hypothesis, computation of ‘t’ values for independent samples; interpretation of ‘t’ values; levels of significance; Type I and Type II errors in inference making.
Non Parametric Test : Nature and assumption; Distribution free Statistics : Chi Square (Equal Probability, 2×2 Contingency tables); Rank order correlation.
Higher Statistical Analysis : Purpose and assumption of ANOVA; one way analysis of Variance (Independent Samples).
Familiarization with software and application of computers in Psychology.
- Minimum, E.W. King, B.M. & Bear, G (1993). Statistical Reasoning in Psychology and Education, New York, John Wiley.
- Siegel, S. (1994). Non Parametric Statistics. New York : McGraw Hill.
- 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.
- 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.
