Psychological Statistics - II

Paper Code: 
PSY 401
Credits: 
3
Contact Hours: 
45.00
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.
  2. To acquire elementary knowledge about computer’s use in Psychology for Statistical analysis.

 

Course Outcomes (COs):

Course

Learning Outcomes

(at course level)

Learning and teaching strategies

Assessment Strategies

Paper Code

Paper Title

 

 

 

 

 

 

PSY 401

 

 

 

 

 

 

Psychological Statistics - II

The students will be able to –

CO37: Explain the logic and appropriate applications of statistical analyses for univariate or bivariate research designs, problems, or hypotheses.

CO38: Calculate the statistics necessary to solve problems (both manually and via computer), including descriptive statistics, statistical significance tests.

CO39: Explain and analyse distribution free statistics.

CO40: Apply and interpret common inferential statistical tests and Analysis of Variance.

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

 

9.00
Unit I: 
Introduction to Normal Probability Curve:
 
  • Properties and Deviation from NPC
  • Application of NPC

 

 

9.00
Unit II: 
Hypothesis testing and making inferences:
 
  • Sampling, Standard Error : Mean (Small and Large samples)
  • Degree of freedom

 

 

9.00
Unit III: 
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 IV: 
Non Parametric Test:
 
  • Nature and assumption
  • Distribution free Statistics: Chi Square (Equal Probability, 2×2 Contingency tables);
  • Rank order correlation.

 

 

9.00
Unit V: 
Higher Statistical Analysis :
 
  • Purpose and assumption of ANOVA
  • One way analysis of Variance (Independent Samples)

 

 

Essential Readings: 
  • Minimum, E.W., King, B.M., & Bear, G. (1993). Statistical Reasoning in Psychologyand Education. New York: John Wiley Publication.
  • Siegel, S. (1994). Non Parametric Statistics. New York : McGraw Hill Publication
  • Garrett, H.E. (2004). Statistics in Psychology and Education. New Delhi: Paragon International Publishers.
  • Mangal, S.K. (2002).Statistics in Psychology and Education (2nd Edition). Delhi: PHI Learning Private Limited.

 

References: 
  • Broota, K.D. (1992).Experimental Design in Behavioral Research.
  • 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, 16- 20.
  • Welkowitz, J.,Ewen, R.B. and Cohen, J. (1982). Introduction to Statistics forBehavioral Sciences. New York: Academic Press.
  • Winer, B.J. (1971). Statistical Principles in Experimental Designs. New York: McGraw Hill Publication.
  • Fergusen, G.A. (1971). Statistical Analysis in Psychology and Education. 3rdEdition. New Delhi: McGraw Hill Publication.

 

Academic Year: 
2021-22
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