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APPLIED STATISTICS
Paper Code:
HHD 222
Credits:
3
Contact Hours:
45.00
Max. Marks:
100.00
Objective:
This course will enable the students to:
• 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
a. Introduction of Statistics. Classifications and Tabulation of data. Frequency Distribution. Diagrammatic(one- dimensional and two- dimensional) and Graphical presentation of data( Histogram, Frequency Polygon, Frequency curve and ogives)
b. Measure of Central Tendency- Mean, Median and Mode, their properties, merits and demerits.
c. Measure of Dispersion- Range, Quartile Deviation, Mean Deviation and standard deviation.
10.00
Unit II:
Probability
a. Concept of Probability. Properties of Normal Probability Curve and its applications.
b. 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)
c. Regression Analysis- Definition, concept, uses and properties. Least Square Methods, Regression Coefficients, Fitting of Regression lines.
8.00
Unit III:
Sampling
a)Sampling Distribution and Standard Error. Elements of Testing a Statistical Hypothesis- Formulation of the problem, Types of errors . Level of significance, Large sample tests for proportions, Single mean and difference in two means.
9.00
Unit IV:
Statistical Test
Small sample tests- Application of t- test for testing the significance of 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:
Statistical techniques
a) Definations of F test, application of F test for testing of equality of two variances.
b)Analysis of Variance- Concept , assumptions, basic idea of one way and two way classification with simple questions
Essential Readings:
1. Gupta, S.P.: Statistical Methods, Sultan Chand and Company, New Delhi.
2. Elhane,D.N.: Fundamentals of Statistics, Kitab Mahal,Allahbad.
References:
1. Simpson and Kafka: Basic Statistics, Oxford and IBH Publishers.
2. Goon, Gupta and Das: Fundamentals of Statistics Vol. I and II.
3. Snedecor and Cochran: Statistical Methods, Oxford and IBH Publishers.
4. Shukla,M.C. and Gulshan S.S.: Statistics Theory and Practice, Sultan Chand and Company, New Delhi.
5. Gupta, S.C. and Kapoor V.K.: Fundamental of Mathematical Statistics, Sultan Chand and Company, New Delhi
Academic Year:
