Discovering Business Statistics

by Quinton Nottingham and James Hawkes

Discovering Business Statistics provides students with relevant and engaging applications of statistics that build a solid foundation and prepare them for entry into the current competitive world of business. Several sections provide technology tips explaining how to use graphing calculators, Microsoft Excel, and Minitab™.

Formats: Software, Textbook, eBook

Product ISBN
Courseware + eBook 978-1-941552-85-8
Courseware + eBook + Textbook 978-1-941552-69-8

Table of Contents

  1. Chapter 1: Decision Making Using Statistics
    1. 1.1 - 1.3 Getting Started
  2. Chapter 2: Data, Reality, and Problem Solving
    1. 2.1 - 2.4 The Reality of Conducting a Study
    2. 2.5 - 2.6 Levels of Measurement and Data Classifications
    3. Chapter 2 Review
  3. Chapter 3: Organizing, Displaying, and Interpreting Data
    1. 3.3 Graphical Displays of Data: Pie Charts and Bar Graphs
    2. 3.4 Frequency Distributions
    3. 3.5 - 3.9 Graphical Displays of Data: Line Graphs, Histograms, and Stem-and-Leaf Displays
    4. 3.10 Analyzing Graphs
    5. Chapter 3 Review
  4. Chapter 4: Numerical Descriptive Statistics
    1. 4.1 Measures of Location
    2. 4.2a Measures of Dispersion
    3. 4.2b Constructing Samples
    4. 4.3 Measures of Relative Position
    5. 4.5 - 4.6 Applying the Standard Deviation
    6. 4.8 Scatterplots and Correlation
    7. Chapter 4 Review
  5. Chapter 5: Probability, Randomness, and Uncertainty
    1. 5.1 - 5.2 Classical Probability
    2. 5.4 Probability Rules: Properties, Complement, and Addition Rules
    3. 5.5 - 5.6 Probability Rules: Independence, Multiplication Rules, and Conditional Probability
    4. 5.8a Basic Counting Rules
    5. 5.8b Additional Counting Techniques
    6. Chapter 5 Review
  6. Chapter 6: Discrete Probability Distributions: Information about the Future
    1. 6.1 - 6.3 Discrete Random Variables
    2. 6.5 The Binomial Distribution
    3. 6.6 The Poisson Distribution
    4. 6.7 The Hypergeometric Distribution
    5. Chapter 6 Review
  7. Chapter 7: Continuous Random Variables
    1. 7.2 Introduction to the Normal Curve
    2. 7.3a Reading a Normal Curve Table
    3. 7.3b The Normal Distribution
    4. 7.3c z-Transformations
    5. 7.4 Approximations to Other Distributions
    6. Chapter 7 Review
  8. Chapter 8: Samples and Sampling Distributions
    1. 8.1 - 8.2 Sampling Distributions Simulation
    2. 8.3 The Distribution of the Sample Mean
    3. 8.4 The Distribution of the Sample Proportion
    4. Chapter 8 Review
  9. Chapter 9: Estimating Means and Proportions: Single Samples
    1. 9.1-9.3 Interval Estimation of the Population Mean
    2. 9.4a Student's t-Distribution
    3. 9.4b Interval Estimation of the Population Mean: Small Samples, Sigma Unknown
    4. 9.5 Precision and Sample Size: Means
    5. 9.6 - 9.7 Estimating the Population Proportion
    6. Chapter 9 Review
  10. Chapter 10: Hypothesis Testing: Single Samples
    1. 10.1 - 10.3 Developing a Hypothesis and Reaching a Conclusion
    2. 10.4a Testing a Hypothesis about a Population Mean (z-Value)
    3. 10.4b Testing a Hypothesis about a Population Mean (t-Value)
    4. 10.4c Testing a Hypothesis about a Population Mean (P-Value)
    5. 10.7a Testing a Hypothesis about a Population Proportion (z-Value)
    6. 10.7b Testing a Hypothesis about a Population Proportion (P-Value)
    7. 10.8a Interval Estimation about a Population Variance
    8. 10.8b Testing a Hypothesis about a Population Variance
    9. Chapter 10 Review
  11. Chapter 11: Inferences about Means and Proportions: Two Samples
    1. 11.1 Comparing Two Population Means
    2. 11.2 Comparing Two Population Means: Small Samples, Sigma Unknown
    3. 11.3 Paired Difference
    4. 11.4 Comparing Two Population Proportions
    5. Chapter 11 Review
  12. Chapter 12: Analysis of Variance (ANOVA)
    1. 12.2 - 12.4 ANOVA
    2. Chapter 12 Review
  13. Chapter 13: Regression, Inference, and Model Building
    1. 13.1 - 13.5 Fitting a Linear Model
    2. 13.8 Regression Analysis
    3. Chapter 13 Review
  14. Chapter 14: Multiple Regression
    1. 14.5a Inference Concerning the Multiple Regression Model and its Coefficients
    2. 14.5b ANOVA Regression
    3. 14.7 Models with Qualitative Independent Variables
  15. Chapter 15: Looking for Relationships in Qualitative Data
    1. 15.2 Chi-Square Test for Goodness of Fit
    2. 15.3 Chi-Square Test for Association Between Two Qualitative Variables
    3. Chapter 15 Review
  16. Chapter 17: Statistical Process Control
    1. 17.3a Monitoring with an x-bar Chart
    2. 17.3b Monitoring with an R Chart
    3. 17.4 Monitoring with a p Chart
    4. Chapter 17 Review
  17. Appendix I
    1. A.1 The Process of a Statistical Study
    2. A.2 Games of Chance
    3. A.3 Name that Distribution
    4. A.4 Comparing Two Population Means: Interval Estimation
    5. A.5 Comparing Two Population Means: Interval Estimation (Small Samples, Sigma Unknown)
    6. A.6 Paired Difference: Interval Estimation
    7. A.7 Comparing Two Population Proportions: Interval Estimation
    8. A.8 Comparing Two Population Variances: Interval Estimation
    9. A.9 Comparing Two Population Variances: Hypothesis Testing
    10. A.10 Direct Mail
    11. A.11 Curvilinear Regression
    12. A.12 Interaction Terms in Regression
    13. A.13 c-Charts
    14. A.14 Mean Charts Using s