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Statistics in Behavioural Sciences
Paper Code:
Psy 122
Credits:
04
Contact Hours:
60.00
Max. Marks:
100.00
Objective:
To develop an understanding of various statistical techniques in terms of their assumptions, applications and limitations.
12.00
Unit I:
Definition And Purpose Of Statistics :
Cumulative Distribution, Normal Distribution, Nature of Normal Distribution, Divergence From Normality - Kurtosis And Skewness; Application of Normal Probability Curve
12.00
Unit II:
Special Correlational Methods :
Biserial, Point Biserial, Phi-Co-Efficient, Tetra Choric Correlation; Regression And Prediction Analysis; Least Square Solution – Linear
12.00
Unit III:
Inferential Statistics :
Significance of Mean, S.D., Coefficient of Correlation; Testing Experimental Hypothesis- Z Test, t-Test, Chi-Square, rho.
12.00
Unit IV:
Analysis Of Variance :
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One Way and Two Way, General Uses and Limitations |
12.00
Unit V:
Non-Parametric Statistics :
Median Test; Mann-Whitney ‘U’ Test; Friedman Two-Way Analysis Of Variance
Essential Readings:
- Garrett, H.E. (2005). Statistics in Psychology and Education. New Delhi: Paragon International Publishers.
- Mangal, S.K. (2002). Statistics in Psychology and Education. New Delhi: Prentice Hall India.
- Minium, E.W. , King B.M. & Bear, G. (1995). Statistical Reasoning in Psychology and Education. New York : John Wiley & Sons.
- Seigel S. (1988). Nonparametric Statistics in Behavioral Sciences. New York: McGraw Hill.
References:
- Glenburg, A. (1988). Learning From Data: An Introduction to Statistical Reasoning. New York: Harcourt Brace.
- Singh, A.K. (2017). Tests, Measurements and Research Method in Behavioral Science. Patna : Bharti Bhavan.
- Welkowitz, J., Ewen, R.B. & Chocen J. (1982). Introduction to Statistics for Behavioral Sciences. New York: Academic Press.
- Winer, B.J. (1971). Statistical Principles in Experimental Designs. New York: McGraw Hill.
Academic Year:
