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Psychological Statistics - II [1]

Paper Code: 
PSY 401
Credits: 
03
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

Course Outcomes

Learning and teaching strategies

Assessment Strategies

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

CO46:Explain the basic properties of normal probability curves.

CO47: Explain the logic and appropriate applications of statistical analyses for univariate or bivariate research designs, problems, or hypotheses. 

CO48: Calculate the statistics necessary to solve problems including descriptive statistics, statistical significance tests.

CO49: Explain and analyze distribution free statistics.

CO50: 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: 

Suggested Readings :

  • 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.

E- Resources:.

  • ResearchGate
  • JSTOR
  • Proquest
  • Shodhganga
  • Delnet
  • Google Scholar
  • National Digital Library (NPTEL)
  • Academia
  • Science open Library

Journals :

 
Academic Year: 
2022-2023 [5]

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Source URL: https://www.psychology.iisuniv.ac.in/courses/subjects/psychological-statistics-ii-7

Links:
[1] https://www.psychology.iisuniv.ac.in/courses/subjects/psychological-statistics-ii-7
[2] https://sciendo.com/journal/jos
[3] https://en.wikipedia.org/wiki/REVSTAT
[4] https://imstat.org/journals-and-publications/statistics-surveys/
[5] https://www.psychology.iisuniv.ac.in/academic-year/2022-2023