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Business Statistics.
- Format:
- Book
- Author/Creator:
- Naval, Bajpai.
- Language:
- English
- Subjects (All):
- Commercial statistics.
- Physical Description:
- 1 online resource (825 pages)
- Edition:
- [First edition].
- Place of Publication:
- Noida : Pearson India, 2009.
- Summary:
- Business Statistics offers readers a foundation in core statistical concepts using a perfect blend of theory and practical application. This book presents business statistics as value added tools in the process of converting data into useful information. The step-by-step approach used to discuss three main statistical software applications, MS Excel, Minitab, and SPSS, which are critical tools for decision making in the business world, makes this book extremely user friendly. India-centric case studies and examples demonstrate the many uses of statistics in business and economics. The underlying focus on the interpretation of results rather than computation makes this book highly relevant for students and practising managers. Practice quizzes and true/false questions for students, and lecture slides and solutions manual for instructors are available at http://wps.pearsoned.com/bajpai_businessstatistics_e.
- Contents:
- Cover
- Business Statistics
- Copyright
- Brief Contents
- Contents
- About the Author
- Preface
- Reviewers
- Introduction to Statistics
- Introduction
- Why Statistics is Important for Managers
- Roadmap to Learning Statistics
- Statistical Analysis Using MS Excel, SPSS, and Minitab®
- Why We Need Data
- Scales of Measurement
- Nominal Scale
- Ordinal Scale
- Interval Scale
- Ratio Scale
- Four Levels of Data Measurement
- Basic Statistical Concepts
- Population and Sample
- Descriptive Statistics and Inferential Statistics
- Parameter and Statistic
- Introduction to MS Excel
- Introduction to Minitab®
- Introduction to SPSS
- Summary
- Key Terms
- Discussion Questions
- Case Stady
- Charts and Graphs
- Frequency Distribution
- Class Midpoint
- Relative Frequency
- Cumulative Frequency
- Graphical Presentation of Data
- Bar Chart
- Using MS Excel for Bar Chart Construction
- Using Minitab for Bar Chart Construction
- Using SPSS for Constructing a Bar Chart
- Pie Chart
- Using MS Excel for Pie Chart Construction
- Using Minitab for Pie Chart Construction
- Using SPSS for Constructing a Pie Chart
- Histogram
- Using MS Excel for Histogram Construction
- Using Minitab for Histogram Construction
- Frequency Polygon
- Using MS Excel for Constructing Frequency Polygon
- Using Minitab for the Construction of Frequency Polygon
- Using SPSS for Frequency Polygon Construction
- Ogive
- Using MS Excel for Ogive Construction
- Using Minitab for Ogive Construction
- Using SPSS for Ogive Construction
- Pareto Chart
- Using Minitab for the Construction of Pareto Charts
- Using SPSS for the Construction of Pareto Charts
- Stem-and-Leaf Plot
- Using Minitab for Stem-and-Leaf Plot Construction
- Using SPSS for Stem-and-Leaf Plot Construction
- Scatter Plot.
- Using MS Excel for Constructing Scatter Plots
- Using Minitab for Scatter Plot Construction
- Using SPSS for Scatter Plot Construction
- Numerical Problems
- Measures of Central Tendency
- Central Tendency
- Prerequisites for an Ideal Measure of Central Tendency
- Mathematical Averages
- Arithmetic Mean
- Calculation of Simple Arithmetic Mean
- Using MS Excel for the Computation of Arithmetic Mean
- Using Minitab for the Computation of Arithmetic Mean
- Using SPSS for Arithmetic Mean Computation
- Mathematical Properties of Arithmetic Mean
- Merits and Demerits of Arithmetic Mean
- Merits
- Demerits
- Weighted Arithmetic Mean
- Computation of Weighted Mean
- Geometric Mean for Discrete and Continuous Series
- Geometric Mean
- Computation of Geometric Mean for Individual Series
- Using MS Excel for the Computation of Geometric Mean
- Average Rate of Growth
- Importance of Geometric Mean
- Merits and Demerits of Geometric Mean
- Harmonic Mean
- Computation of Harmonic Mean for Individual Series
- Computation of Harmonic Mean for Discrete Frequency Distribution and ContinuousFrequency Distribution
- Using MS Excel for Harmonic Mean Computation
- Weighted Harmonic Mean
- Importance of Harmonic Mean
- Relationship Between AM, GM, and HM
- Merits and Demerits of Harmonic Mean
- Positional Averages
- Median
- Calculation of Median
- Computation of Median for the Individual Series
- Computation of Median for a Discrete Frequency Distribution
- Determination of Median for a Continuous Frequency Distribution
- Using MS Excel for Median Computation
- Merits and Demerits of Median
- Mode.
- Determination of Mode
- Computation of Mode for the Individual Series
- Computation of Mode for Discrete Frequency Distribution
- Computation of Mode for Continuous Frequency Distribution
- Using MS Excel for Mode Computation
- Merits and Demerits of Mode
- An Empirical Relation between Mean, Median, and Mode
- Partition Values: Quartiles, Deciles, and Percentiles
- Quartiles
- First and Third Quartiles for Individual Series
- First and Third Quartiles for Discrete Series
- First and Third Quartiles for Continuous Series
- Using MS Excel for Quartiles Computation
- Using Minitab for Quartiles Computation
- Using SPSS for Quartiles Computation
- Merits and Demerits of Quartiles
- Deciles
- Percentiles
- Formulas
- Case Study
- Measures of Dispersion
- Properties of a Good Measure of Dispersion
- Methods of Measuring Dispersion
- Range
- Range for Individual Series
- Range for Discrete Frequency Distribution
- Range for Continuous Frequency Distribution
- Using MS Excel for Range Computation
- Using Minitab for Range Computation
- Using SPSS for Range Computation
- Merits and Demerits of Range
- Interquartile Range and Quartile Deviation
- Interquartile Range for Individual Series, Discrete Frequency Distribution, andContinuous Frequency Distribution
- Using MS Excel, Minitab, and SPSS for Interquartile Range
- Merits and Demerits of Quartile Deviation
- Mean Absolute Deviation (or Average Absolute Deviation)
- Mean Absolute Deviation for Individual Series
- Mean Absolute Deviation for Discrete and Continuous Frequency Distributions
- Using MS Excel, Minitab, and SPSS for Computing Mean Absolute Deviation.
- Merits and Demerits of Mean Deviation
- Standard Deviation, Variance, and Coefficient of Variation
- Standard Deviation
- Variance
- Coefficient of Variation
- Standard Deviation and Variance for an Individual Series
- Standard Deviation and Variance for Discrete and Continuous FrequencyDistributions
- Using MS Excel for Computing Standard Deviation
- Using Minitab for Computing Standard Deviation
- Using SPSS for Computing Standard Deviation
- Mathematical Properties of Standard Deviation
- Merits and Demerits of Standard Deviation
- Empirical Rule
- Empirical Relationship Between Measures of Dispersion
- Chebyshev's Theorem
- Measures of Shape
- Skewness
- Coefficient of Skewness
- Kurtosis
- The Five-Number Summary
- Box-and-Whisker Plots
- Using Minitab for Box-and-Whisker Plot Construction
- Using SPSS for Box-and-Whisker Plot Construction
- Measures of Association
- Correlation
- Karl Pearson's Coefficient of Correlation
- Using MS Excel for Computing Correlation Coefficient
- Using Minitab for Computing Correlation Coefficient
- Using SPSS for Computing Correlation Coefficient
- Probability
- Introduction to Probability
- Concept of Probability
- Basic Concepts
- Venn Diagram, Unions, and Intersections
- Experiment
- Event
- Compound Event
- Independent and Dependent Events
- Mutually Exclusive Events
- Collective Exhaustive Events
- Equally Likely Events
- Complementary Events
- Sample Space
- Counting Rules, Combinations, and Permutations
- Multi-Step Experiment
- Counting Rules for Combinations
- Counting Rules for Permutations
- Probability Assigning Techniques
- Classical Technique
- Relative Frequency Technique
- Subjective Approach.
- Types of Probability
- Marginal Probability
- Union Probability
- Joint Probability
- Conditional Probability
- Some Basic Probability Rules
- General Rule of Addition
- Probability Matrices
- Special Rule of Addition for Mutually Exclusive Events
- General Rule of Multiplication
- Special Rule of Multiplication
- Independent Events
- Bayes' Theorem
- Discrete Probability Distributions
- Difference between Discrete and Continuous Random Distributions
- Discrete Probability Distribution
- Mean, Variance, and Standard Deviation of Discrete Distribution
- Mean or Expected Value
- Variance of a Discrete Distribution
- Binomial Distribution
- Solving the Problem Using Binomial Formula
- Using MS Excel for Binomial Probability Computation in Example
- Using Minitab for Binomial Probability Computation in Example
- Mean and Variance of a Binomial Probability Distribution
- Graphical Presentation of the Binomial Probability Distribution
- Poisson Distribution
- Using MS Excel for Poisson distribution
- Using Minitab for Poisson Probability Computation
- Mean and Variance of a Poisson Probability Distribution
- Graphical Presentation of the Poisson Probability Distribution
- Poisson Probability Distribution as an Approximation of the Binomial Probability Distribution
- Hypergeometric Distribution
- Using MS Excel for Hyper geometric Distribution
- Using Minitab for Hyper geometric Distribution
- Continuous Probability Distributions
- Introduction.
- Uniform Probability Distribution.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Includes index.
- ISBN:
- 1-282-65250-8
- 81-317-4305-5
- 9786612652509
- OCLC:
- 816564904
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