Business Statistics – Easy Education Bangladesh

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Paper Code : 412507 —— Credits : 4
Paper Title : Business Statistics

Course Content

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Chapter-1 Introduction
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.

Class Brief

21:04
Class-1 Requirement 1-5

31:04
Class-2 Requirement 6-10

16:11
Class-2 Requirement 6-10 Solve Class

02:18
Class-3 Requirements 11-15

40:46
Class-3 Requirement 11-15 Solve CLass

36:47
Class-4 Requirements 16-18

28:08
Class-4 Requirements 16-18 Solve CLass

21:24
Class-5 Requirements 19-25

36:16
Class-5 Requirements 19-25 Solve Class

15:09

Chapter-3 Measures of Dispersion
Significance of Measuring Dispersion; Properties of A Good Avery 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 Analysis
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 Analysis
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 Analysis of Variance
Assumption in Analysis of Variance; Computation of Analysis of Variance; One way and two ways Classification.

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About Course

Course Content

Support Groups

Whats Apps Groups

Chapter-1 Introduction 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.

Class Brief

Class-1 Requirement 1-5

Class-2 Requirement 6-10

Class-2 Requirement 6-10 Solve Class

Class-3 Requirements 11-15

Class-3 Requirement 11-15 Solve CLass

Class-4 Requirements 16-18

Class-4 Requirements 16-18 Solve CLass

Class-5 Requirements 19-25

Class-5 Requirements 19-25 Solve Class

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

Class Brief

Class-1 Requirements 1-10

Class-2 Requirements 11-16

Class-3 Requirements 17-22

Class-4 Requirements 23-30

Class-5 Requirements 31-34

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 Analysis 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.

Class Brief

Class-1 Requirement 1-9

Class-2 Requirements 10-14

Class-3 Requirements 15-17

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

Class Brief

Class-1 Requirement 1-4

Class-2 Requirement 5-14

Class-3 Requirement 15-20

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.

Class Brief

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

Student Ratings & Reviews

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Chapter-1 Introduction
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 Avery 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 Analysis
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 Analysis
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 Analysis of Variance
Assumption in Analysis of Variance; Computation of Analysis of Variance; One way and two ways Classification.