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Statistics in Behavioural Sciences [1]

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

Course Outcomes (COs):

 

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 utilize 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: 

·       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.

Academic Year: 
2023-2024 [2]

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Source URL: https://www.psychology.iisuniv.ac.in/courses/subjects/statistics-behavioural-sciences-6

Links:
[1] https://www.psychology.iisuniv.ac.in/courses/subjects/statistics-behavioural-sciences-6
[2] https://www.psychology.iisuniv.ac.in/academic-year/2023-2024