A guide to business statistics. (2018)

• Record Type: Book
• Further Information: Note: David M. McEvoy.
• Authors: McEvoy, David M (David Michael)
• 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. Cross-sectional, time-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? 2.3. 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. Two-tail hypothesis test of a mean 8.2. One-tail hypothesis test of a mean 8.3. p-value approach to hypothesis tests 8.4. Summary Technical Appendix Chapter 9: Hypothesis Tests of Categorical Data 9.1. Two-tail hypothesis test of a proportion 9.2. One-tail hypothesis test of a proportion 9.3. Using p-values 9.4. Chi-square 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. Non-linearities 13.5. Time-series analysis 13.6. Summary Index
• Edition: 1st
• Publisher Details: Hoboken, New Jersey : John Wiley & Sons, Inc
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 519.502465; Commercial statistics
• Languages: English
• ISBNs: 9781119138372; 9781119138389; 9781119138396; 9781119138365
• Related ISBNs: 9781119138358
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.