Psychological Statistics - II

Paper Code: 
PSY 401
Credits: 
03
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 
  • To develop an understanding of various statistical techniques in terms of their assumptions, applications and limitations.
  • To acquire elementary knowledge about computer use in Psychology for Statistical analysis.
9.00
Unit I: 
Hypothesis testing and making inferences

  Sampling , Standard Error : Mean (Small and Large Samples), df       

9.00
Unit II: 
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.

9.00
Unit III: 
Non Parametric Test

Nature and assumption; Distribution free Statistics - Chi Square (Equal Probability, 2×2 Contingency tables); Rank order correlation       

 

9.00
Unit IV: 
Higher Statistical Analysis

 Purpose and assumption of ANOVA;  One Way Analysis of Variance (Independent Samples)     

 

                       

9.00
Unit V: 
Familiarization with software and application of computers in Psychology

Familiarization with software and application of computers in Psychology   

Essential Readings: 
  •  Garrett, H.E. Statistics in Psychology and Education Vakils, Feffer & Simons Ltd.
  •  Mangal, S.K. Statistics in Psychology and Education McGraw Hill Publication.
  •  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.
References: 
  •   Broota, K.D. (1992) : Experimental Design in Behavioral Research.
  •  Fergusen, G.A. (1971). Statistical Analysis in Psychology and Education. 3rd Edition, New Delhi, 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.
Academic Year: 
2016-17
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