Krishna's Business Statistics, Edition-13B free ebook download.

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Krishna's Business Statistics, Edition-13B free ebook download

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Catalogue

Author(s):	Dr. Arun Kumar

Date:	2021	Format:	pdf	Language:	English	ISBN/ASIN:	B093C2545K
Pages:	780	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	10/17/2021 10:06:20 AM

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CONTENTS- BUSINESS STATISTICS,
Chapter 1 : Statistics : An Introduction
1.1 Meaning of Statistics
1.2 Definition of Statistics
1.3 Distinction between the Two Senses of Definitions
1.4 Modern Approach in the Definition of Statistics
1.5 Nature of Statistics (Whether Statistics is a Science or an Art)
1.6 Functions of Statistics
1.7 Limitations of Statistics
1.8 Distrust and Misuse of Statistics
1.9 Population
1.10 Sample and Sampling
1.11 Parameter and Statistic
1.12 Fundamental of Measurements
1.13 Summation Notation
Chapter 2 : Collection of Primary and Secondary Data
2.1 Introduction
2.2 Sources of Data
2.3 Primary and Secondary Data
Chapter 3 : Classification and Tabulation
3.1 CLASSIFICATION
3.2 Construction of Frequency Distribution
3.3 Cumulative Frequency Distribution
3.4 Relative Frequency Distribution
3.5 TABULATION
3.6 Preparing a Table
Chapter 4 : Diagrammatic Presentation
4.1 Introduction
4.2 Types of Diagrams
4.3 Pictorial Diagrams of Pictorgrams
4.4 Cartograms
Chapter 5 : Graphical Presentation
5.1 Graphical Presentation
5.2 Graphs of the Frequency Distribution
Chapter 6 : Measures of Central Tendency
6.1 Introduction
6.2 Objectives of Averages
6.3 Characteristics of a Good Average
6.4 Measures of Central Tendency
6.5 Choice of a Suitable Average
Chapter 7 : Measures of Dispersion
7.1 Introduction
7.2 Objective of Measuring Variability or Dispersion
7.3 Properties of a Good Measures of Dispersion
7.4 Two Types of Measures of Dispersion
7.5 Various Measures of Dispersion
7.7 Algebraic Properties of Standard deviation
7.8 Coefficient of Variation (C.V.)
7.9 Choice of a Suitable Measures of Dispersion
Chapter 8 : Measures of skewness & Kurtosis
8.1 Introduction
8.2 MOMENTS
8.3 Measures of Skewness Based on Moments
8.4 Kurtosis
Chapter 9 : Correlation Analysis
9.1 Introduction
Chapter 10 : Regression Analysis
10.1 Introduction
10.2 Utility of Regression Analysis
10.3 Difference between Correlation and Regression Analysis
10.4 Line of Regression
10.5 Method of Least Squares
10.6 Properties of the Regression Lines
10.7 Regression coefficient and their properties
10.8 Regression Lines in Grouped Data
10.9 Standard Error of Estimate
Chapter 11 : Multiple Regression
11.1 Introduction
11.2 Regression Equation and Regression Plane
11.3 Fitting of Regression Equation to the Observed data
11.4 Multiple Correlation
11.5 Standard Error of Estimate
11.6 Coefficient of Multiple Determination
11.7 Partial Correlation
Chapter 12 : Association of Attributes
12.1 Introduction
12.2 Attributes and Notations
12.3 Consistency of Data
12.4 Association of Attributes
12.5 Methods to find out Association between Attributes
12.6 Partial Association
Chapter 13 : Time series Analysis
13.1 Introduction
13.2 Utility of Time Series Analysis
13.3 Components of Time Series
13.4 The Analysis of Time Series
13.5 Editing of Series
13.6 Measurement of Trend
13.7 Detrending
13.8 Determining Irregular Movements
Chapter 14 : Index Numbers
14.1 Introduction
14.2 Characteristics of Index Numbers
14.3 Uses of Index Numbers
14.4 Problems in the Construction of Index Numbers
14.5 Price Relatives, Quantity Relatives and Value Relatives
14.6 Methods of Constructing Index Numbers
14.7 Weighted Index Numbers
14.8 Quantity or Volume Index Numbers
14.9 Tests of Adequacy of Index Numbers
14.10 Link and Chain Relatives
14.11 Base Shifting, Splicing and Deflating of Index Numbers
Chapter 15 : Probability and Expected Value
15.1 Introduction
15.2 Terminology Used in Probability
15.3 Definitions of Probability
15.4 Event
15.5 Axiomatic Approach or Modern Definition of Probability
15.6 Some Probability Rules
15.7 Bayes’ Rule
15.8 Random Variable
15.9 Probability Distribution
Chapter 17 : Sampling Theory a

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