Psychological Statistics – I

Paper Code: 
PSY 301
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 competencies to organize and analyze data.
  • To acquire elementary knowledge about computer use in Psychology for statistical analysis.
9.00
Unit I: 
Meaning and Purpose of Statistics

Types of statistics - Descriptive and inferential Statistic, Parametric and non parametric statistics; Drawing of frequency distribution; Graphical representation of grouped data - Frequency Polygon, Histogram

9.00
Unit II: 
Measurement of Central Tendency

Purpose and types of measures, Characteristics of Mean, Median and Mode; Computation of Mean, Median and Mode       

9.00
Unit III: 
Measures of Variability

Concept of variability - Range, Semi Inter – Quartile Range, Standard Deviation               

9.00
Unit IV: 
Introduction to Normal Probability Curve

Introduction to Normal Probability Curve : Properties and deviation from NPC   

 

9.00
Unit V: 
Correlation

The concept of correlation; Pearson’s correlation (by assumed mean and by actual mean, only for ungrouped data)            

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.
  • Minium, E.W. King, B.M. & Bear G. (1993). Statistical Reasoning in Psychology and Education, New York, John Wiley.
References: 
  • Broota, K.D. (1992). Experimental Design in Behavioral Research. New Delhi : Wiley Eastern.
  • 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.
  • Siegel, S. (1994). Non-Parametric Statistics New York McGraw Hill.
  • 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
  • Printer-friendly version
  • PDF version