Business Statistics mcq sample paper and quiz for amity online courses

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Business Statistics BBA mcq set 1
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Business Statistics BBA mcq set 3
Business Statistics BBA mcq set 4
Business Statistics BBA mcq set 5

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,Bowleys’ 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.