1. To develop an understanding of various statistical techniques in terms of their assumptions, applications and limitations.
2. To acquire competencies to organize data for computer analysis.
3. To acquire elementary competencies in using computer packages of statistical analyses.
4. This course deals with research methods that are employed in field settings. Correlational analysis techniques with numerical examples will be discussed.
Definition and Types of Statistics; Levels of Measurement; Construction of Frequency Distribution; Graphical Representation - Histogram, Frequency and Polygon
Measures of Central Tendency; Measure of Variability; Correlation - Concept; Product Moment Correlation for Ungrouped Data
Normal Probability Curve; Sampling; Standard Error Formula – Mean, SD
Null and Alternative Hypothesis; Type I and II errors; ‘t’ Test - Mean for Large and Small Independent Samples; ANOVA (One Way Analysis - Independent Samples)
Assumption; Chi Square; (Null Hypothesis, Contingency Tables); Rank Order Correlation
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Ø Guilford, J.P. : Fundamental Statistics in Psychology and Education, New York, McGraw Hill (Asian Student Edition).
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Ø Siegel, S : Nonparametric Statistics for the Behavioral Sciences, New York, McGraw Hill (international Students Edition)
Ø Bailey, K.D. (1978). Methods of Social Research. The Free Press : NY.
Ø Best, J.W. and Kahn (1995). Research in education. Seventh Edition Prentice Hall of India Pvt. New Delhi.
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Ø Chaudhary, C.M. (1991). Research Methodology. R.B.S.A. Publishers SMS Highway, Jaipur.
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Ø Kothari, C.R., (1986). Research Methodology, Methods and Techniques. ND : Wiley Eastern Ltd.
Ø Krishnaswamy, O.R. (1993). Methodology of researches in Social Sciences. Hemalaye Publishing House Delhi.
Ø Mohsin, S.M. : Research Methods in Behavioral Sciences, Orient Longman Ltd.
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