Business Statistics mcq sample paper and quiz for amity online courses

Looking for a comprehensive Business Statistics MCQ sample paper and quiz to prepare for your Amity online courses? Look no further! Our expertly crafted quiz features a wide range of challenging questions to help you test your knowledge and excel in your coursework. Practice with confidence and maximize your success with our Business Statistics MCQ sample paper and quiz today!

Get Membership Business Statistics BBA MCQ

Business Statistics BBA mcq set 1
Business Statistics BBA mcq set 2
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.

Also available these subjects

DistPub Team

Distance Publisher (DistPub.com) provide project writing help from year 2007 and provide writing and editing help to hundreds student every year.