Statistics in Behavioural Sciences

Paper Code: 
PSY 122
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

Course Objectives :

To develop an understanding of various statistical techniques in terms of their assumptions, applications and limitations.

 

Course Outcomes:

The students will:-

  • CO5:Define and identify basic concepts in inferential and descriptive statistics.
  • CO6: Describe and utilize principles of probability and hypothesis testing.
  • CO7: Developing skills to use quantitative techniques in psychology.
  • CO8: Explain and apply the concepts and procedures of descriptive statistics
  • CO9: Apply and interpret common inferential statistical tests and correlational methods.
  • CO10: Apply and interpret parametric and non-parametric tests and understand their utility

 

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

:  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: 
2021-22
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