Inferential Statistics

DEPARTMENT OF PSYCHOLOGY
SAVITRIBAI PHULE PUNE UNIVERSITY
SEMESTER-II

EP: 205: INFERENTIAL STATISTICS
(Major Paper)

LEARNING OBJECTIVES:

To acquaint the students with:

1. The concepts, meaning and applications of statistics for making inferences
2. The assumptions and the data analytic procedures like ‘t’ test, ANOVA (One-way and two-way)
3. The different techniques of non-parametric statistics.
4. The statistical software like SPSS and Excel

LEARNING OUTCOMES:

Students will be able to:

1. Describe the basic concepts like sampling statistics and standard error and its applications in inferential statistics
2. The significance of difference in Means, variance and correlation coefficients
3. Apply the two-way ANOVA technique and interpretation of the same
4. The conceptualization of non-parametric statistics and applications of the different tests used in small sample statistics
5. The applications of SPSS and Excel for data analysis

1.0. INFERENTIAL STATISTICS (15)

1.1. Inferences: Standard Error of Mean and other statistics
1.2. Significance of difference for Means, variances and correlation coefficient
1.3. Assumptions of Analysis of Variance, One- way ANOVA: Independent, concept of Repeated measures ANOVA,
1.4. Two-way ANOVA: Concept and applications
1.5. Concept of ANCOVA and MANOVA

2.0. NON-PARAMETRIC STATISTICS (15)

2.1. Meaning, nature and differences between parametric and non-parametric statistics
2.2. Chi-square tests
2.3. Non-parametric tests for correlated data: Rank difference correlation, Sign test, Wilcoxon Signed Ranked Test
2.4. Non-parametric tests for uncorrelated data: Mann-Whitney U test, Kruskal –Wallis test
2.5. Statistical software: SPSS, Excel: Introduction and use

IMPORTANT NOTES:

1. Students are allowed to use the non-scientific calculators in examination
2. Calculation exercises in the examination shall be restricted to:
   a) ‘t’ test exercises for Dependent and Independent Means’ data
   b) One-way ANOVA and Two-way ANOVA
   c) Chi-square test exercises on equal probability and contingency hypothesis.

BOOKS FOR READING:

1. Minium, E. W., King B. M., Bear, G. (1995). Statistical Reasoning in Psychology and Education.
2. Howell, D. C. (1997). Statistical Methods for Psychology (4th Ed).
3. Guilford, J.P. and Fruchter, B. (1985). Fundamental Statistics in Psychology and Education (6th Ed) McGraw-Hill.
4. Fergusson, G.A. (1976). Statistical Analysis in Psychology and Education. McGraw Hill.
5. Mangal, S. K. (2006). Statistics in Psychology and Education. N.D. Prentice Hall.
6. Levin, J. & Fox, J.A. (2006). Elementary Statistics in Social Research. Delhi: Pearson Education.
7. Black, T. R. (1999). Doing Quantitative Research in Social Sciences: An integrated approach to research design, measurement and statistics. London: Sage Pub
8. Foster, J.J. Data Analysis: Using SPSS for windows. London: Sage Pub
9. Field, A. (2009). Discovering Statistics Using SPSS. (3rd ed), Sage Pub.