Cleff T. Applied Statistics and Multivariate Data Analysis for Business and Economics: A Modern Approach Using SPSS, Stata, and Excel

Springer, 2019. — 486 p. — ISBN: 3030177661.This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis. Drawing on practical examples from the business world, it demonstrates the methods of univariate, bivariate, and multivariate statistical analysis. The textbook covers a range of topics, from data collection and scaling to the presentation and simple univariate analysis of quantitative data, while also providing advanced analytical procedures for assessing multivariate relationships. Accordingly, it addresses all topics typically covered in university courses on statistics and advanced applied data analysis. In addition, it does not limit itself to presenting applied methods, but also discusses the related use of Excel, SPSS, and Stata.True PDFStatistics and Empirical Research
Do Statistics Lie?
Different Types of Statistics
The Generation of Knowledge Through Statistics
The Phases of Empirical ResearchFrom Disarray to Dataset
Data Collection
Level of Measurement
Scaling and Coding
Missing Values
Outliers and Obviously Incorrect ValuesExercise SolutionsUnivariate Data Analysis
First Steps in Data Analysis
Measures of Central Tendency
The Boxplot: A First Look at Distributions
Dispersion Parameters
Skewness and Kurtosis
Robustness of Parameters
Measures of Concentration
Using the Computer to Calculate Univariate ParametersExercise SolutionsBivariate Association
Bivariate Scale Combinations
Association Between Two Nominal Variables
Association Between Two Metric Variables
Relationships Between Ordinal Variables
Measuring the Association Between Two Variables with Different Scales
Calculating Correlation with a Computer
Spurious CorrelationsExercise SolutionsClassical Measurement Theory
Sources of Sampling Errors
Sources of Nonsampling ErrorsCalculating Probability
Key Terms for Calculating Probability
Probability Definitions
Foundations of Probability CalculusExercise SolutionsRandom Variables and Probability Distributions
Discrete Distributions
Continuous Distributions
Important Distributions for TestingExercise SolutionsParameter Estimation
Point Estimation
Interval EstimationExercise SolutionsHypothesis Testing
Fundamentals of Hypothesis Testing
One-Sample Tests
Tests for Two Dependent Samples
Tests for Two Independent Samples
Tests for k Independent Samples
Other TestsExercise SolutionsRegression Analysis
First Steps in Regression Analysis
Coefficients of Bivariate Regression
Multivariate Regression Coefficients
The Goodness of Fit of Regression Lines
Regression Calculations with the Computer
Goodness of Fit of Multivariate Regressions
Regression with an Independent Dummy Variable
Leverage Effects of Data Points
Nonlinear Regressions
Approaches to Regression DiagnosticsExercise SolutionsTime Series and Indices
Price Indices
Quantity Indices
Value Indices (Sales Indices)
Deflating Time Series by Price Indices
Shifting Bases and Chaining IndicesExercise SolutionsCluster Analysis
Hierarchical Cluster Analysis
K-Means Cluster Analysis
Cluster Analysis with SPSS and StataExercise SolutionsFactor Analysis
Factor Analysis: Foundations, Methods, and Interpretations
Factor Analysis with SPSS and StataExercise SolutionsList of Formulas