Statistics in Behavioural Sciences

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

COURSE OUTCOMES

 

Course Outcomes

Learning and teaching strategies

Assessment Strategies

On completion of this course, the students will be able to: 

CO6: Define and identify basic concepts in inferential and descriptive statistics.

CO7: Describe and utilise principles of probability and hypothesis testing.

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-Coefficient, TetraChoric 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: 

Suggested Readings

  • Freund, R. J., & Wilson, W. J. (2003). Statistical methods. Elsevier.

  • Ott, R. L., & Longnecker, M. T. (2015). An introduction to statistical methods and data analysis. Cengage Learning.

  • Singh, A.K. (2017). Tests, Measurements and Research Methods in Behavioural Science. Patna : Bharti Bhavan.

  • Welkowitz, J., Ewen, R.B. & Chocen J. (1982). Introduction to Statistics for Behavioural Sciences. New York: Academic Press.

 

E-Resources

  • ResearchGate

  • JSTOR

  • Proquest

  • Shodhganga

  • Delnet

  • Google Scholar

  • National Digital Library (NPTEL)

  • Academia

 

Journals

  • Perspectives on Psychological Science

  • International Journal of Distributed Sensor Networks

  • Psychological Bulletin

  • Quarterly Journal of Experimental Psychology

  • Psychological Sciences

  • Journal of Computational and Graphical Statistics

Academic Year: 
2022-23
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