BUSINESS STATISTICS

Rs800
QAM 103
+

BUSINESS STATISTICS
SOLVED PAPERS AND GUESS SOLVED PAPERS AND GUESS 

 

Product Details: Amity university bba BUSINESS STATISTICS SOLVED PAPERS AND GUESS

Pub. DateNEW EDITION APPLICABLE FOR Current EXAM

PublisherMEHTA SOLUTIONS

Edition Description2021-22

RATING OF BOOK: EXCELLENT

  

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Module I: Introduction to Statistics
Definitions, Functions of Statistics, Limitation of Statistics, Applications of Statistics, Collection of Data: Types and Methods, Classification and Presentation of data: Histogram, Frequency Curve, Frequency Polygon, Ogive .
Module II: Measure of Central Tendency
Concepts of Central Tendency: Meaning and Characteristics of Average, Types of Averages: Arithmetic mean; Combined mean; Weighted mean; Median; Mode .
Module III : Measure of Dispersion
Measures of Dispersion: Range, Quartile Deviation, Mean Deviation, Standard Deviation,Combined Standard Deviation, Correct Incorrect Values, Coefficient of Variation (Absolute & Relative Measure of Dispersion), Skewness-Karl-Pearson’s Coefficient of Skewness,
Bowley’s Coefficient of Skewness, Moments, Kurtosis.
Module IV : Correlation Analysis and Regression Analysis Correlation:
Introduction-Importance of Correlation, Types of Correlation, Scatter Diagram Method,Karl Pearson’s coefficient of Correlation (Grouped and Ungrouped), Spearman’s Coefficient of Rank Correlation, Rank Correlation for Tied Ranks.
Regression Analysis: Concepts of Regression, Difference b/w Correlation and Regression, Regression Lines. Regression Coefficient in a bi-variate frequency distribution .

Module V Time Series Analysis
Introduction; Objectives of Time Series analysis; Components of a Time Series; Moving Average Method; method of least squares (fitting of linear trend only)


Module V1 Probability Theory and Distributions
Concept; Addition and multiplication theorems of probability; conditional probability & independent events; Bayes’ theorem; Probability Distribution Function, Binomial distribution; Poisson distribution; Normal distribution and their applications .

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