A Guide to Business StatisticsISBN: 9781119138358
224 pages
April 2018

Description
Featuring an intuitive approach to statistics, this book uniquely fills a gap in the current literature by presenting a comprehensive introduction to the fundamental statistics concepts with in the fields of business and economics. The author maintains clear and insightful explanations of the core concepts and techniques in statistics without relying on mathematical rigor including equations and theorems. Maintaining a concise exposition with minimal distractions, the book follows a comprehensive trajectory within each chapter by providing clear explanations to the key concepts. This approach is intentional so that readers to learn in a linear fashion to better understand the core concepts. The book features a brief summary of the key elements at the end of each chapter in order to reinforce the presented concepts and uses running examples throughout so that the same example is referenced to illustrate a variety of concepts. Mathematical formulae and notation is delegated to technical appendices at the end of each chapter, and a glossary of terms is also provided. Topical coverage includes: statistics, data, and statistical thinking; descriptive statistics; probability; probability distributions; sampling distributions; confidence intervals; hypotheses tests; design of experiments and analysis of variance; simple linear regression; model building; time series and forecasting; and nonparametric statistics.
Table of Contents
Dedication
Preface
0.1. Addressing two challenges
0.2. How to use this book
0.3. Target audience
Chapter 1: Types of Data
1.1. Categorical data
1.2. Numerical data
1.3. Level of measurement
1.4. Crosssectional, timeseries 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?
2.3. Getting the data
2.4. Summary
Chapter 3: Descriptive Statistics
3.1. Measures of central tendency
3.2. Measures of variability
3.3. The shape
3.4. Summary
Technical Appendix
Chapter 4: Probability
4.1. Simple probabilities
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
5.4. Normal approximations
5.5. Summary
Technical 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
6.5. Sampling distribution of a proportion
6.6. Summary
Technical Appendix
Chapter 7: Confidence Intervals
7.1. Confidence intervals for means
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. Twotail hypothesis test of a mean
8.2. Onetail hypothesis test of a mean
8.3. pvalue approach to hypothesis tests
8.4. Summary
Technical Appendix
Chapter 9: Hypothesis Tests of Categorical Data
9.1. Twotail hypothesis test of a proportion
9.2. Onetail hypothesis test of a proportion
9.3. Using pvalues
9.4. Chisquare tests
9.5. Summary
Technical Appendix
Chapter 10: Hypothesis Tests Comparing Two Parameters
10.1. The approach in this chapter
10.2. Hypothesis tests of two means
10.3. Hypothesis tests of two variances
10.4. Hypothesis tests of two proportions
10.5. Summary
Technical Appendix
Chapter 11: Simple Linear Regression
11.1. The population regression model
11.2. A look at the data
11.3. Ordinary Least Squares (OLS)
11.4. The distribution of b0 and b1
11.5. Tests of significance
11.6. Goodness of fit
11.7. Checking for violations of the assumptions
11.8. Summary
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: More Topics in Regression
13.1. Hypothesis tests comparing two means with regression
13.2. Hypothesis tests comparing more than two means (ANOVA)
13.3. Interacting variables
13.4. Nonlinearities
13.5. Timeseries analysis
13.6. Summary
Index