Discovering Statistics
by James Hawkes and William Marsh
Discovering Statistics provides students with applications of statistics in the real world. Integrated throughout the text is TI calculator, Minitab™, and Microsoft Excel support, including Getting Started guides for Minitab™ and Excel. The included data sets are diverse and useful for multiple courses.
Formats: Software, Textbook, eBook
Product | ISBN |
---|---|
Software + eBook* | 978-1-941552-71-1 |
Software + eBook* + Textbook | 978-1-941552-68-1 |
* Included eBook can only be accessed online through the software |
Table of Contents
-
Chapter 1: Statistics and Problem Solving
- 1.1 Who Will Be Our Next President?
- 1.2 Statistics and Quality
- 1.3 Descriptive Versus Inferential Statistics
- 1.4 The Consequences of Statistical Illiteracy
-
Chapter 2: Data, Reality and Problem Solving
- 2.1 The Lords of Data
- 2.2 Science and Data
- 2.3 Decision Making and Data
- 2.4 Collecting Data
- 2.5 Data Classifications
- 2.6 Levels of Measurement
- 2.7 Times Series Data
- 2.8 Cross – Sectional Data
- 2.9 Data Resources
- 2.10 Discovering Technology
-
Chapter 3: Organizing, Displaying, and Interpreting Data
- 3.1 Frequency Distributions
- 3.2 The Value of Graphs
- 3.3 Displaying Qualitative Data Graphically
- 3.4 Constructing Frequency Distributions for Quantitative Data
- 3.5 Histograms
- 3.6 The Stem and Leaf Display
- 3.7 The Ordered Array
- 3.8 Dot Plots
- 3.9 Plotting Time Series Data
- 3.10 A Look at World Population
- 3.11 Discovering Technology
-
Chapter 4: Describing Data from One Variable
- 4.1 Measures of Location
- 4.2 Selecting a Measure of Location
- 4.3 Measures of Dispersion
- 4.4 Measures of Relative Position
- 4.5 Using the Standard Deviation
- 4.6 A Second Look at the Tuition Data
- 4.7 Data Subsetting
- 4.8 The Coefficient of Variation
- 4.9 Analyzing Grouped Data
- 4.10 Proportions
- 4.11 Discovering Technology
-
Chapter 5: Discovering Relationships
- 5.1 Bivariate Data
- 5.2 Looking for Patterns in the Data
- 5.3 Building a Model
- 5.4 Measuring the Degree of Linear Relationship
- 5.5 Avoiding Some Correlation Pitfalls
- 5.6 Defining a Linear Relationship – Regression Analysis
- 5.7 Finding the Least Squares Line
- 5.8 Estimating a Linear Relationship
- 5.9 Interpreting the Regression Equation
- 5.10 The Importance of Errors
- 5.11 Evaluating the Fit of a Model
-
Chapter 6: Probability, Randomness, and Uncertainty
- 6.1 Important Definitions
- 6.2 Interpreting Probability: Relative Frequency
- 6.3 Interpreting Probability: Subjective Approach
- 6.4 Interpreting Probability: Classical Approach
- 6.5 What is Probability?
- 6.6 Some Laws of Probability
- 6.7 What's the Connection Between Probability and Statistics?
- 6.8 Probability and Business
- 6.9 Other Probability Rules
- 6.10 Conditional Probability
- 6.11 Independence
- 6.12 Counting
- 6.13 Discovering Technology
-
Chapter 7: Probability Distributions, Information about the Future
- 7.1 Types of Random Variables
- 7.2 Discrete Probability Distributions
- 7.3 Expected Value
- 7.4 Variance of a Discrete Random Variable
- 7.5 Where Do Probability Distributions Come From?
- 7.6 The Discrete Uniform Distribution
- 7.7 The Binomial Distribution
- 7.8 The Poisson Distribution
- 7.9 The Hypergeometric Distribution
- 7.10 Discovering Technology
-
Continuous Random Variables
- 8.1 The Uniform Distribution
- 8.2 The Normal Distribution
- 8.3 The Standard Normal
- 8.4 z-Transformations
- 8.5 Approximations to Other Distributions
- 8.6 Discovering Technology
-
Chapter 9: Samples and Sampling Distributions
- 9.1 Random Samples
- 9.2 Choosing a Representative Sample
- 9.3 Sampling Distributions
- 9.4 Statistics as Random Variables?
- 9.5 Why Calculate the Sample Mean?
- 9.6 The Distribution of the Sample Mean
- 9.7 Using the Central Limit Theorem
- 9.8 The Distribution of the Sample Proportion
- 9.9 Other Forms of Sampling
- 9.10 Discovering Technology
-
Chapter 10: Estimating Means and Proportions
- 10.1 What is an Estimator?
- 10.2 Discovering the Real World
- 10.3 Point Estimation of the Population Mean
- 10.4 Interval Estimation of the Population Mean
- 10.5 Interval Estimation of the Population Mean for a No
- Population with σ Unknown
- 10.6 Precision and Sample Size
- 10.7 Estimating Population Attributes
- 10.8 Interval Estimation of a Population Attribute
- 10.9 Precision and Sample Size for Population Attributes
- 10.10 Discovering Technology
-
Chapter 11: Introduction to Hypothesis Testing
- 11.1 Developing a Hypothesis
- 11.2 Reaching a Conclusion
- 11.3 A Procedure for Testing a Hypothesis
- 11.4 Testing Hypothesis about a Population Mean
- 11.5 Practical Significance versus Statistical Significance
- 11.6 Discovering Technology
-
Chapter 12: Additional Topics with Hypothesis Testing
- 12.1 Testing Hypothesis about a Population Proportion
- 12.2 Testing Hypothesis about a Population Variance
- 12.3 Comparing Two Population Means
- 12.4 Paired Difference
- 12.5 Comparing Two Population Proportions
- 12.6 Discovering Technology
-
Chapter 13: Regression, Inference, and Model Building
- 13.1 Assumptions of the Simple Linear Model
- 13.2 Inference – How Good is the Estimate of β1
- 13.3 Testing a Hypothesis Concerning β1
- 13.4 Inference Concerning Model's Prediction
- 13.5 Multiple Regression
- 13.6 Interpreting the Coefficients of the Model
- 13.7 The F-Distribution
- 13.8 Inference Concerning the Coefficients of the Multiple Regression Model
- 13.9 Inference on the Model's Prediction
- 13.10 Discovering Technology
-
Chapter 14: Analysis of Variance (ANOVA)
- 14.1 Are Means from Samples Significantly Different?
- 14.2 Analysis of Variance (ANOVA)
- 14.3 Assumptions of the Test
- 14.4 The F-Test
- 14.5 Two-Way ANOVA
- 14.6 Discovering Technology
-
Chapter 15: Looking for Relationships in Qualitative Data
- 15.1 The Chi-Square Distribution
- 15.2 The Chi-Square Test for Goodness of Fit
- 15.3 The Chi-Square Test for Association Between Two Qualitative Variables
- 15.4 Discovering Technology
-
Chapter 16: Nonparametrics
- 16.1 The Sign Test
- 16.2 The Wilcoxon Signed-Rank Test
- 16.3 The Wilcoxon Rank-Sum Test
- 16.4 The Rank Correlation Test
- 16.5 The Runs Test for Randomness
- 16.6 The Kruskal-Wallis Test
- 16.7 Discovering Technology
-
Chapter 17: Statistical Process Control
- 17.1 Basic Charts and Diagrams Used in Quality Control
- 17.2 Basic Concepts
- 17.3 Monitoring with an x Chart
- 17.4 Monitoring with an R Chart
- 17.5 Monitoring with a p Chart
- 17.6 Discovering Technology
-
Appendix
- A.1 Statistical Tables
- A.2 Case Data
- A.3 Getting Started with Excel
- A.4 Getting Started with Minitab
- A.5 Answers to Odd Numbered Problems