STATISTICS IN BEHAVIOURAL SCIENCES

Paper Code: 
PSY 122
Credits: 
04
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 

Course Objectives (COs):

This course will enable the students to –

 

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

Course Outcomes (COs):

Course

Learning Outcomes

(at course level)

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

 

 

 

 

PSY 122

 

 

 

Statistics in Behavioural Sciences

The students will be able to –

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

Approach in teaching:

Interactive Lectures, Discussion, Tutorials, Reading assignments, Demonstration, Team teaching

Learning activities for the students:

Self-learning assignments, Effective questions, Simulation, Seminar presentation, Giving tasks, Field practical

Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects

 

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: 
2020-21
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