Business Statistics
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 thr...
| Autor principal: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Noida :
Pearson India
2009.
|
| Edición: | [First edition] |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009815723506719 |
Tabla de Contenidos:
- 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
- Introduction
- 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
- Summary
- Key Terms
- Discussion Questions
- Numerical Problems
- Case Stady
- Measures of Central Tendency
- Introduction
- Central Tendency
- Measures of 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
- Geometric Mean for Discrete and Continuous Series
- Using MS Excel for the Computation of Geometric Mean
- Average Rate of Growth
- Importance of Geometric Mean
- Merits and Demerits of Geometric Mean
- Merits
- Demerits
- 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
- Merits
- Demerits
- 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
- Merits
- Demerits
- 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
- Merits
- Demerits
- 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
- Merits
- Demerits
- Deciles
- Percentiles
- Summary
- Key Terms
- Discussion Questions
- Numerical Problems
- Formulas
- Case Study
- Measures of Dispersion
- Introduction
- 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
- Merits
- Demerits
- 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
- Merits
- Demerits
- 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
- Merits
- Demerits
- 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
- Merits
- Demerits
- 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
- Summary
- Key Terms
- Discussion Questions
- Numerical Problems
- Formulas
- Case Study
- 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
- Conditional Probability
- Independent Events
- Bayes' Theorem
- Summary
- Key Terms
- Discussion Questions
- Numerical Problems
- Formulas
- Case Study
- Discrete Probability Distributions
- Introduction
- Difference between Discrete and Continuous Random Distributions
- Discrete Probability Distribution
- Mean, Variance, and Standard Deviation of Discrete Distribution
- Mean or Expected Value
- Variance
- 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
- 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
- Summary
- Key Terms
- Discussion Questions
- Numerical Problems
- Formulas
- Case Study
- Continuous Probability Distributions
- Introduction.
- Uniform Probability Distribution.
