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ISBN10: 1265035989 | ISBN13: 9781265035983
ISBN10: 1265035989
ISBN13: 9781265035983
* The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.
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Business Statistics: Communicating with Numbers takes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is taught and applied in the business world. This title not only prepares students in basic statistics but also gets them excited about further exploration of data analytics. The authors emphasize communicating with numbers rather than number crunching, through relatable case studies with relevant statistical methods and takeaways. This title incorporates timely examples from various fields, reinforces core features from previous editions, uses Excel and R to analyze data and solve problems, and includes new improvements, such as a revised chapter on data visualization, an exclusive chapter on logistic regression, and digital enhancements such as a big data capstone project with algorithmic exercises that span across multiple chapters.
PART ONE: INTRODUCTION
1 Data and Data Preparation
PART TWO: DESCRIPTIVE STATISTICS
2 Tabular and Graphical Methods
3 Numerical Descriptive Measures
PART THREE: PROBABILITIY AND PROBABILITY DISTRIBUTIONS
4 Introduction to Probability
5 Discrete Probability Distributions
6 Continuous Probability Distributions
PART FOUR: BASIC INFERENCE
7 Sampling and Sampling Distributions
8 Interval Estimation
9 Hypothesis Testing
10 Statistical Inference Concerning Two Populations
11 Statistical Inference Concerning Variance
12 Chi-Square Tests
PART FIVE: ADVANCED INFERENCE
13 Analysis of Variance
14 Regression Analysis
15 Inference with Regression Models
16 Regression Models for Nonlinear Relationships
17 Regression Models with Dummy Variables
PART SIX: SUPPLEMENTARTY TOPICS
18 Forecasting with Time Series Data
19 Returns, Index Numbers, and Inflation
20 Nonparametric Tests
APPENDIX A: Getting Started with R
APPENDIX B: Tables
APPENDIX C: Answers to Selected Even-Numbered Exercises
1 Data and Data Preparation
PART TWO: DESCRIPTIVE STATISTICS
2 Tabular and Graphical Methods
3 Numerical Descriptive Measures
PART THREE: PROBABILITIY AND PROBABILITY DISTRIBUTIONS
4 Introduction to Probability
5 Discrete Probability Distributions
6 Continuous Probability Distributions
PART FOUR: BASIC INFERENCE
7 Sampling and Sampling Distributions
8 Interval Estimation
9 Hypothesis Testing
10 Statistical Inference Concerning Two Populations
11 Statistical Inference Concerning Variance
12 Chi-Square Tests
PART FIVE: ADVANCED INFERENCE
13 Analysis of Variance
14 Regression Analysis
15 Inference with Regression Models
16 Regression Models for Nonlinear Relationships
17 Regression Models with Dummy Variables
PART SIX: SUPPLEMENTARTY TOPICS
18 Forecasting with Time Series Data
19 Returns, Index Numbers, and Inflation
20 Nonparametric Tests
APPENDIX A: Getting Started with R
APPENDIX B: Tables
APPENDIX C: Answers to Selected Even-Numbered Exercises
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