A guide to business statistics /

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Technical Appendix Chapter 12: Multiple Regression 12.1. Population regression model 12.2. The data 12.3. Sample regression function 12.4. Interpreting the estimates 12.5. Prediction 12.6. Tests of significance 12.7. Goodness of fit 12.8. Multicollinearity 12.9. Summary Technical Appendix Chapter 13...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: McEvoy, David M. (David Michael) (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken, NJ : John Wiley & Sons, Inc., 2018.
Temas:
Commercial statistics.
MATHEMATICS > Applied.
MATHEMATICS > Probability & Statistics > General.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Title Page; Copyright; Contents; Preface; Chapter 1 Types of Data; 1.1 Categorical Data; 1.2 Numerical Data; 1.3 Level of Measurement; 1.4 Crossâ#x80;#x90;Sectional, Timeâ#x80;#x90;Series, and Panel Data; 1.5 Summary; Chapter 2 Populations and Samples; 2.1 What is the Population of Interest?; 2.2 How to Sample From a Population?; 2.2.1 Simple Random Sampling; 2.2.2 Stratified Sampling; 2.2.3 Other Methods; 2.3 Getting the Data; 2.4 Summary; Chapter 3 Descriptive Statistics; 3.1 Measures of Central Tendency; 3.1.1 The Mean; 3.1.2 The Median; 3.1.3 The Mode; 3.2 Measures of Variability.
  • 3.2.1 Variance and Standard Deviation3.3 The Shape; 3.4 Summary; Technical Appendix; Chapter 4 Probability; 4.1 Simple Probabilities; 4.1.1 When to Add Probabilities Together; 4.1.2 When to Find Intersections; 4.2 Empirical Probabilities; 4.3 Conditional Probabilities; 4.4 Summary; Technical Appendix; Chapter 5 The Normal Distribution; 5.1 The Bell Shape; 5.2 The Empirical Rule; 5.3 Standard Normal Distribution; 5.3.1 Probabilities with Continuous Distributions; 5.3.2 Verifying the Empirical Rule Using the zâ#x80;#x90;table; 5.4 Normal Approximations; 5.4.1 Mean; 5.4.2 Standard deviation; 5.4.3 Shape.
  • 5.5 SummaryTechnical Appendix; Chapter 6 Sampling Distributions; 6.1 Defining a Sampling Distribution; 6.2 The Importance of Sampling Distributions; 6.3 An Example of a Sampling Distribution; 6.4 Characteristics of a Sampling Distribution of a Mean; 6.4.1 The Mean; 6.4.2 The Shape; 6.4.3 The Standard Deviation; 6.4.4 Finding Probabilities With a Sampling Distribution; 6.5 Sampling Distribution of a Proportion; 6.5.1 The Mean; 6.5.2 The Shape; 6.5.3 The Standard Deviation; 6.6 Summary; Technical Appendix; Chapter 7 Confidence Intervals; 7.1 Confidence Intervals for Means.
  • 7.1.1 The Characteristics of the Sampling Distribution7.1.2 Confidence Intervals Using the zâ#x80;#x90;Distribution; 7.1.3 Confidence Intervals Using the tâ#x80;#x90;Distribution; 7.2 Confidence Intervals for Proportions; 7.3 Sample Size and the Width of Confidence Intervals; 7.4 Comparing Two Proportions From the Same Poll; 7.5 Summary; Technical Appendix; Chapter 8 Hypothesis Tests of a Population Mean; 8.1 Twoâ#x80;#x90;Tail Hypothesis Test of a Mean; 8.1.1 A Single Sample from a Population; 8.1.2 Setting Up the Null and Alternative Hypothesis; 8.1.3 Decisions and Errors; 8.1.4 Rejection Regions and Conclusions.
  • 8.1.5 Changing the Level of Significance8.2 Oneâ#x80;#x90;Tail Hypothesis Test of a Mean; 8.2.1 Setting Up the Null and Alternative Hypotheses; 8.2.2 Rejection Regions and Conclusions; 8.3 pâ#x80;#x90;Value Approach to Hypothesis Tests; 8.3.1 Oneâ#x80;#x90;Tail Tests; 8.3.2 Twoâ#x80;#x90;tail tests; 8.4 Summary; Technical Appendix; Chapter 9 Hypothesis Tests of Categorical Data; 9.1 Twoâ#x80;#x90;Tail Hypothesis Test of a Proportion; 9.1.1 A Single Sample from a Population; 9.1.2 Rejection Regions and Conclusions; 9.2 Oneâ#x80;#x90;Tail Hypothesis Test of a Proportion; 9.3 Using pâ#x80;#x90;Values; 9.3.1 Oneâ#x80;#x90;Tail Tests Using the pâ#x80;#x90;Value.
  • 9.3.2 Twoâ#x80;#x90;Tail Tests Using the pâ#x80;#x90;Value.

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