Coming soon
Statistics in Behavioural Sciences
To develop an understanding of various statistical techniques in terms of their assumptions, applications and limitations.
Cumulative Distribution, Normal Distribution, Nature of Normal Distribution, Divergence From Normality - Kurtosis And Skewness; Application of Normal Probability Curve
Biserial, Point Biserial, Phi-Co-Efficient, Tetra Choric; Regression And Prediction Analysis; Least Square Solution - Linear
Unit III Inferential Statistics : Significance of - Mean, S.D. Coefficient of Correlation; Testing Experimental Hypothesis - Z Test, T Test, Chi-Square, rho. 12 hrs
Unit IV Analysis Of Variance : One Way and Two Way, General Uses and Limitations 12 hrs
Unit V Non-Parametric Statistics : Median Test; Mann-Whitney ‘U’ Test; Friedman Two-Way Analysis Of Variance
Significance of - Mean, S.D. Coefficient of Correlation; Testing Experimental Hypothesis - Z Test, T Test, Chi-Square, rho.
One Way and Two Way, General Uses and Limitations
Median Test; Mann-Whitney ‘U’ Test; Friedman Two-Way Analysis Of Variance
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- Guilford J.P. (1954). Psychometric Method. McGraw Hill. N.Y. Guilford J.P. Fruchter’s (1981). Fundamental Statistics in Psychology Education. International McGraw Hill Publisher, New York.
- Minium, E.W. , King B.M. and Bear G (1995) Statistical Reasoning in Psychology and Education. NY : John Wiley.
- Glenburg, Arthur, (1988). Learning From Data. An Introduction to Statistical Reasoning. Harcourt Brace, Hovanovich. New York.
- Seigel S. (1956). Nonparametric Statistics. McGraw Hill, New York.
- Singh, A.K. (1997). Tests Measurements and Research Method in Behavioral Science. Patna : Bharti Bhavan.
- Welkowitz, J. Ewen, R.B. and Chocen J. (1982). Introduction to Statistics for Behavioral Sciences. Academic Press New York.
- Winer, B.J. (1971). Statistical Principles in Experimental Designs. McGraw Hill, New York.
