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APPLIED STATISTICS (THEORY)
Paper Code:
HFN 222
Credits:
03
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 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)
Measure of Central Tendency- Mean, Median and Mode, their properties, merits and demerits.
Measure of Dispersion- Range, Quartile Deviation, Mean Deviation and standard deviation.
10.00
Unit II:
Concept of Probability
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.
8.00
Unit III:
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:
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:
Definations of F test, application of F test for testing of equality of two variances.
Analysis of Variance- Concept , assumptions, basic idea of one way and two way classification with simple questions.
Academic Year:
