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Business Statistics-I

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About Course

Paper Code: 222401

Marks: 100

Credits: 4

Class Hours: 60

Paper Title:

Business Statistics (In English)

Paper Code: 222509

Marks: 100

Credits: 4

Class Hours: 60

Paper Title:

Business Statistics (In English)

Course Content

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Chapter-1 Introduction to Business Statistics (Data Collection & Data Presentation)
Meaning and Concepts; Nature; Scope; Nature/characteristics of Statistical Data; Classification; Tabulation; Frequency Distribution; Graphical Presentation of Data.

Chapter-2 Measures of Central Tdendency
Meaning and concepts; Arithmetic Mean; Geometric Mean; Harmonic Mean; Weighted Arithmetic Mean; Mode; Median; Quartiles; Deciles; Percentiles; Properties of a Good Average; Empirical Relation Among the Averages.

Chapter-3 Measures of Dispersion
Significance of Measuring Dispersion; Properties of A Good Average Dispersion; Range-Inter-Quartile Range and quartile Deviation; Mean Deviation; Standard Deviation; Co-efficient of, Variations and Their Application.

Chapter-4 Moments , Skewness and Kurtosis
Concepts; Moments from Arbitrary Value; Moments from Mean; Relation between Moments; Measures of Skewness and its Uses, Measures of Kurtosis and Its Application.

Chapter-5 Correlation
Meaning and concept; Significance of the Study of Correlation and Causation; Types of Correlation; Scatter Diagram Method; Karl Pearson's Coefficient of Correlation; Rank Correlation Coefficient.

Chapter-6 Regression
Concept; Difference between Correlation and Regression Analysis; Simple Regression Lines; Regression Equation; Regression Co-efficient.

Chapter-7 Probability
Meaning of Probability, Elements of Set Theory; Sample Space; Events; Theorems of Total and Compound Probability; Conditional Probability and Statistical Independence; Expected value of Random Variable

Chapter-8 Index Number
Price Index; Quantity Index; Value Index; Cost of Living Index Numbers; Chain index Numbers; Base Shifting-Splicing and Deflating the Index; Test of Index Numbers; Limitation and Uses.

Chapter-9 Sampling Distribution
Student's Distribution; Chi-square Distribution; Fisher's Z-Distribution; F-Distribution; Their Properties and Uses.

Chapter-10 Test of Hypothesis
Procedure of Testing Hypothesis; Null Hypothesis–Alternative Hypothesis-Type I and Type II Errors; Level of Significance; Degree of Freedom; One-Tailed and Two-Tailed Tests; Power of Test; Tests About Mean; Tests about the Difference between Two Means; Tests about the Difference between Two Means with Dependent Samples; Tests about the Correlation Coefficient; Tests of Equality of Two Variances; Testing for Equality of Several Means; Test of Independence; Test of Goodness of Fit.

Chapter-11 Analysis of Variance
Assumption in Analysis of Variance; Computation of Analysis of Variance; One way and two ways Classification.

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