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Preface | p. ix |
About the Authors | p. xiii |
Introduction to Business Statistics with Excel | p. 1 |
Business Statistics Applications | p. 2 |
Basic Statistical Concepts | p. 3 |
Data | p. 6 |
Statistical Analysis Using Excel | p. 11 |
Data Analysis Tools | p. 11 |
Statistical Functions | p. 12 |
The Chart Wizard | p. 13 |
The Trendline Feature | p. 17 |
FAST [characters not reproducible] STAT Add-in Macros | p. 19 |
Descriptive Charts and Graphs | p. 27 |
Frequency Distributions | p. 28 |
Graphic Depiction of Data | p. 34 |
Descriptive Statistics | p. 47 |
Measures of Central Tendency | p. 48 |
Measures of Variability | p. 58 |
Measures of Shape | p. 76 |
Summary Statistics in Excel | p. 83 |
Probability | p. 91 |
Introduction to Probability | p. 92 |
Methods of Assigning Probabilities | p. 93 |
Structure of Probability | p. 94 |
Marginal, Union, Joint, and Conditional Probabilities | p. 101 |
Law of Addition | p. 102 |
Law of Multiplication | p. 112 |
Law of Conditional Probability | p. 119 |
Revision of Probabilities: Bayes' Rule | p. 128 |
Discrete Probability Distributions | p. 139 |
Discrete Versus Continuous Distributions | p. 140 |
Binomial Distribution | p. 141 |
Poisson Distribution | p. 153 |
Hypergeometric Distribution | p. 162 |
Continuous Probability Distributions | p. 173 |
The Uniform Distribution | p. 174 |
Normal Distribution | p. 181 |
Using the Normal Curve to Work Binomial Distribution Problems | p. 195 |
Exponential Distribution | p. 203 |
Sampling and Sampling Distributions | p. 215 |
Sampling | p. 216 |
Sampling Distribution of X | p. 227 |
Sampling Distribution of p | p. 239 |
Estimation with Single Samples | p. 249 |
Estimating the Population Mean with Large Sample Sizes | p. 250 |
Estimating the Population Mean: Small Sample Sizes, [sigma] Unknown | p. 260 |
Estimating the Population Proportion | p. 268 |
Estimating Sample Size | p. 274 |
Hypothesis Testing with Single Samples | p. 287 |
Introduction to Hypothesis Testing | p. 288 |
Testing Hypotheses about a Single Mean Using Large Samples | p. 295 |
Testing Hypotheses about a Single Mean Using Small Samples: [sigma] Unknown | p. 304 |
Testing Hypotheses about a Proportion | p. 311 |
Hypothesis Testing with Two Samples | p. 323 |
Hypothesis Testing about the Difference in Two Means: Large, Independent Samples | p. 324 |
Hypothesis Testing about the Difference in Two Population Means: Small Independent Samples | p. 334 |
Hypothesis Testing about the Mean Difference in Two Related Populations | p. 343 |
Hypothesis Testing About the Difference in Two Population Proportions | p. 352 |
Hypothesis Testing about the Difference in Two Population Variances | p. 360 |
Analysis of Variance and Chi-Square Applications | p. 379 |
Introduction to Design of Experiments | p. 380 |
The Completely Randomized Design (One-Way ANOVA) | p. 382 |
The Randomized Block Design | p. 393 |
A Factorial Design (Two-Way ANOVA) | p. 405 |
Chi-Square Goodness-of-Fit Test | p. 419 |
Contingency Analysis: Chi-Square Test of Independence | p. 430 |
Simple Regression and Correlation Analysis | p. 449 |
Introduction to Simple Regression Analysis | p. 450 |
Determining the Equation of the Regression Line | p. 452 |
Analyzing the Fit of the Regression Line: Residuals, r[superscript 2], and Standard Error of the Estimate | p. 461 |
Hypothesis Tests for the Slope of the Regression Model and Testing the Overall Model | p. 474 |
Estimation | p. 480 |
Measures of Association | p. 487 |
Multiple Regression Analysis | p. 501 |
The Multiple Regression Model | p. 502 |
Evaluating the Multiple Regression Model | p. 511 |
Indicator (Dummy) Variables | p. 525 |
More Complex Regression Models | p. 531 |
Model-Building: Search Procedures | p. 544 |
Multicollinearity | p. 554 |
Time Series Forecasting | p. 567 |
Introduction to Forecasting | p. 568 |
Time Series Components | p. 570 |
Time Series Forecasting Procedure | p. 576 |
Stationary Forecasting Methods | p. 593 |
Trend Forecasting Methods | p. 603 |
Seasonal Forecasting Methods | p. 630 |
Statistical Quality Control | p. 655 |
Introduction to Quality Control | p. 656 |
Process Analysis | p. 663 |
Control Charts | p. 668 |
Tables | p. 1 |
Random Numbers | p. 2 |
Binomial Probability Distribution | p. 3 |
Poisson Probabilities | p. 10 |
The e[superscript -x] Table | p. 15 |
Areas of the Standard Normal Distribution (also on front endsheet) | p. 16 |
Critical Values of t (also on front endsheet) | p. 17 |
Percentage Points of the F Distribution | p. 18 |
The Chi-Square Table | p. 28 |
Critical Values for the Durbin-Watson Test | p. 29 |
Factors for Control Charts | p. 31 |
Answers to Selected Odd-Numbered Quantitative Problems | p. 1 |
Glossary | p. 1 |
Index | p. 1 |
Table of Contents provided by Syndetics. All Rights Reserved. |
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At many schools, professors and students require that Microsoft Excel be integrated throughout their one-term course. Thoroughly integrating the use of Excel, this concise text will serve that need. Coverage is focused on applied processes that are handled by Excel. In addition, Excel macro add-ins accompany the text on a CD-ROM packaged with new copies of the book.
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