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Psychological Statistics-I [1]

Paper Code: 
PSY 301
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: 

CO31:Define and identify basic concepts in inferential and descriptive statistics.

CO32:Integrate the understanding of statistics and graphical representation of data

CO33: Explain and apply the concepts and procedures of descriptive statistics. 

CO34: Describe and utilize principles of probability and hypothesis testing.

CO35: Apply and interpret common inferential statistical tests and correlational methods.

   

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: 
Meaning and Purpose of Statistics

Types of statistics - Descriptive and inferential Statistic, Parametric and non parametric statistics; Scales of measurement

 
9.00
Unit II: 
Construction of Frequency Distribution and Graphical Representation

Drawing of frequency distribution; Graphical representation of grouped data : Frequency Polygon, Histogram, Calculating percentiles and percentile ranks

9.00
Unit III: 
Measurement of Central Tendency

Purpose and types of measures. Characteristics of Mean, Median and Mode; Computation of Mean, Median and Mode.

9.00
Unit IV: 
Measures of Variability : Concept of variability

Range, Semi Inter – Quartile Range, Standard Deviation.

 
9.00
Unit V: 
Correlation

The concept of correlation; Pearson’s correlation (by actual mean, only for ungrouped data)

 

Essential Readings: 
  • Minium, E.W., King, B.M., & Bear G. (1993). Statistical Reasoning in Psychologyand Education. New York : John Wiley 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 : McGraw Hill Publication.

 

References: 

uggested Readings  :

  • Broota, K.D. (1992). Experimental Design in Behavioral Research.  New Delhi : Wiley Eastern Publication.
  • Siegel, S. (1994). Non-Parametric Statistics. New York : McGraw Hill Publication.
  • Guilford, J.P. Fundamental Statistics in Psychology and Education. New York : McGraw Hill Publication.
  • 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 for Behavioral Sciences. New York : Academic Press.
  • Winer, B.J. (1971).  Statistical Principles in Experimental Design. New York : McGraw Hill Publication.
  • Fergusen, G.A. (1971). Statistical Analysis in Psychology and Education. 3rdEdition. New Delhi : McGraw Hill Publication.

E Resources :   

  • World Digital Library. 
  • World E- Book Library. 
  • California Digital Library.
  • ResearchGate
  • JSTOR
  • Proquest
  • Shodhganga
  • Delnet
  • Google Scholar
  • National Digital Library (NPTEL)
  • Academia
  • Planet EReadings.

Journals:

 

Academic Year: 
2022-23 [5]

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Source URL: https://psychology.iisuniv.ac.in/courses/subjects/psychological-statistics-i

Links:
[1] https://psychology.iisuniv.ac.in/courses/subjects/psychological-statistics-i
[2] https://sciendo.com/journal/jos
[3] https://en.wikipedia.org/wiki/REVSTAT
[4] https://imstat.org/journals-and-publications/statistics-surveys/
[5] https://psychology.iisuniv.ac.in/academic-year/2022-23