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                Osmania University B.Sc. III Year V Semester (CBCS): Statistics Syllabus Paper-V: Sampling Theory, Time series, Index Numbers and Demand Analysis (DSC-2E)               (3 Hours Per Week with 3 Credits and 100 Marks) UNIT-I Sample Surveys: Concepts of Population, Sample, Sampling unit, Parameter, Statistic, Sample frame and Standard error. Principal steps in sample surveys - need for sampling, census versus sample surveys, sampling and non- sampling errors, sources and treatment of non-sampling errors, advantages and limitations of sampling. Sampling Methods : Types of sampling: Subjective, probability and mixed sampling methods. Methods of drawing random samples using with and without replacement. Estimates of population mean, total, and proportion, their variances and the estimates of variances in Simple Random Sampling With and Without Replacement. UNIT-II ...

Osmania University B.Sc. II Year III Semester (CBCS): Statistics Syllabus Paper-III: Statistical Methods (DSC-2C) (4 HPW with 4 Credits and 100 Marks) Unit –I Bivariate data, scattered diagram, Principle of least squares, fitting of straight line, quadratic and  power curves. Concept of correlation, computation of Karl-Pearson correlation coefficient for  grouped and ungrouped data and its properties. Correlation ratio, Spearman’s rank correlation coefficient and its properties. Simple linear regression, correlation verses regression, properties of regression coefficients. Unit –II Concepts of partial and multiple correlation coefficients (only for three variables). Analysis of  categorical data, independence and association and partial association of attributes, various  measures of association (Yule’s) for two way data and coefficient of contingency (Pearson and  Tcherprow), coefficient of colligation . Unit – III Concepts of populati...

Osmania University B.Sc. I Year, I Semester (CBCS): Statistics Syllabus Paper-I: Descriptive Statistics and Probability (DSC-2A) (4 HPW with 4 Credits and 100 Marks) UNIT –I Descriptive Statistics : Concept of primary and secondary data. Methods of collection and editing of primary data. Designing a questionnaire and a schedule. Sources and editing of secondary  data. Classification and tabulation of data. Measures of central tendency (mean, median, mode,  geometric mean and harmonic mean) with simple applications. Absolute and relative measures of dispersion (range, quartile deviation, mean deviation and standard deviation) with simple  applications. Importance of moments, central and non-central moments, and their interrelationships, Sheppard’s corrections for moments for grouped data. Measures of Skewness based on quartiles and moments and kurtosis based on moments with real life examples. UNIT-II Probability: Basic concepts in probability—determini...