To understand the role of statistics and computer applications in research.
To apply statistical techniques to research data for analyzing and interpreting data carefully.
10.00
Unit I:
Introduction To Statistics:
Statistics- Meaning, Importance, Limitations, Classifications and Tabulation of data, discrete and continuous variables. Frequency Distributions and Cumulative frequency distribution, Diagrammatic(one- dimensional and two- dimensional) and Graphical presentation of data( Histogram, Frequency Polygon, Frequency curve and ogives)
Measure of Central Tendency- Mean, Median and Mode, their properties, merits and demerits.
Measure of Dispersion- Range, Quartile Deviation, Mean Deviation and standard deviation, coefficient of variation. Moments, Skew ness and Kurtosis (their absolute and relative measures)
8.00
Unit II:
Probability Distributions, Correlation & Regression Analysis:
The formal and empirical concept of Probability. Idea of Binomial distribution, Poisson
Distribution. Properties of Normal Probability Curve and its applications.
Correlation Analysis- Definition and concept, types and measures of studying correlation (Karl Pearson’s coefficient of correlation, its assumptions, properties, merits and demerits, Spearman’s Rank correlation coefficient)
Regression Analysis- Definition, concept, uses and properties. Least Square Methods, Regression Coefficients, Fitting of Regression lines.
9.00
Unit III:
UNIT III
Sampling Distribution and Standard Error. Element of Testing a Statistical Hypothesis- Formulation of the problem, Types of errors. Level of significance, large sample test for proportions, single mean and difference in two means.
10.00
Unit IV:
UNIT IV
Small sample test- Application of Student’s t- test for small sample for single mean, difference in two means (independent and paired-t). Chi-square test for testing normal population variance.
Test for goodness of fit independence of attributes using 2x2 and rxc contingency tables.
8.00
Unit V:
UNIT V
Definition of F-test, application of F-test for testing of equality of two variances.
Analysis of Variance-Concept, assumptions, Basic ideas of one-way and two-way classification with simple questions.
Essential Readings:
A study in human Behavior by . Marry Show Ryan- New York, Holt Rinehart & Winston, 1966
Psychology of Clothes by J.G. Flugal
Concepts of Clothing by Marry, Rose & Cranz
References:
Simpson and Kafka., Basic Statistics, Oxford and IBH Publishers.
Goon, Gupta and Das., Fundamentals of Statistics Vol. I and II.
Snedecor and Cochran., Statistical Methods, Oxford and IBH Publishers.