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STATISTICS
ISBN: 9780023792113 | 0023792116
Edition: 6thPublisher: Prentice Hall Professional Technical Reference
Pub. Date: 1/1/1994
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This resource emphasizes statistical inference and sound decision-making through its extensive coverage of data collection and analysis. As in earlier editions, it helps develop statistical thinking and promotes inference assessment- from the vantage point of both the consumer and the producer. Includes new Three-phased Examples that contain three components: "problem," "solution," and "look back." Provides Now Work exercises that follow each example, suggesting an end-of-section exercise that is similar in style and concept to the example. Offers new Chapter Summary Notes along with end-of- chapter material. Provides new Critical Thinking Challenges. A comprehensive resource for anyone who needs to improve their understanding of statistics.
| Statistics, Data, and Statistical Thinking | |
| The Science of Statistics | |
| Types of Statistical Applications | |
| Fundamental Elements of Statistics | |
| Types of Data | |
| Collecting Data | |
| The Role of Statistics in Critical Thinking | |
| Methods for Describing Sets of Data | |
| Describing Qualitative Data | |
| Graphical Methods for Des... MORE | |
| Summation Notation | |
| Numerical Measures of Central Tendency | |
| Numerical Measures of Variability | |
| Interpreting the Standard Deviation | |
| Numerical Measures of Relative Standing | |
| Methods for Detecting Outliers (Optional) | |
| Graphing Bivariate Relationships (Optional) | |
| Distorting the Truth with Descriptive Techniques | |
| Probability | |
| Events, Sample Spaces, and Probability | |
| Unions and Intersections | |
| Complementary Events | |
| The Additive Rule and Mutually Exclusive Events | |
| Conditional Probability | |
| The Multiplicative Rule and Independent Events | |
| Random Sampling | |
| Some Counting Rules (Optional) | |
| Discrete Random Variables | |
| Two Types of Random Variables | |
| Probability Distributions for Discrete Random Variables | |
| Expected Values of Discrete Random Variables | |
| The Binomial Random Variable | |
| The Poisson Random Variable (Optional) | |
| The Hypergeometric Random Variable (Optional) | |
| Continuous Random Variables | |
| Continuous Probability Distributions | |
| The Uniform Distribution | |
| The Normal Distribution | |
| Descriptive Methods for Assessing Normality | |
| Approximating a Binomial Distribution with a Normal Distribution (Optional) | |
| The Exponential Distribution (Optional) | |
| Sampling Distributions | |
| What Is a Sampling Distribution? Properties of Sampling Distributions | |
| Unbiasedness and Minimum Variance (Optional) | |
| The Central Limit Theorem | |
| Inferences Based on a Single Sample: Estimation with Confidence Intervals | |
| Large-Sample Confidence Interval for a Population Mean | |
| Small-Sample Confidence Interval for a Population Mean | |
| Large-Sample Confidence Interval for a Population Proportion | |
| Determining the Sample Size | |
| Inferences Based on a Single Sample: Tests of Hypotheses | |
| The Elements of a Test of Hypothesis | |
| Large-Sample Test of Hypothesis about a Population Mean | |
| Observed Significance Levels: p-Values | |
| Small-Sample Test of Hypothesis about a Population Mean | |
| Large-Sample Test of Hypothesis about a Population Proportion | |
| Calculating Type II Error Probabilities: More about hellip;b (Optional) | |
| Test of Hypothesis about a Population Proportion | |
| Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses | |
| Comparing Two Population Means: Independent Sampling | |
| Comparing Two Population Means: Paired Difference Experiments | |
| Comparing Two Population Proportions: Independent Sampling | |
| Determining the Sample Size | |
| Comparing Two Population Variances: Independent Sampling (Optional) | |
| Analysis of Variance: Comparing More Than Two Means | |
| Elements of a Designed Experiment | |
| The Completely Randomized Design | |
| Multiple Comparisons of Means | |
| The Randomized Block Design | |
| Factorial Experiments | |
| Simple Linear Regression | |
| Probabalistic Models | |
| Fitting the Model: The Least Squares Approach | |
| Model Assumptions | |
| An Estimator of hellip;s2 | |
| Assessing the Utility of the Model: Making Inferences about the Slope hellip;b1 | |
| The Coefficient of Correlation | |
| The Coefficient of Determination | |
| Using the Model for Estimation and Prediction | |
| A Complete Example | |
| Multiple Regression and Model Building | |
| Multiple Regression Models | |
| The First-Order Model: Estimating and Interpreting the hellip;b Parameters | |
| Model Assumptions | |
| Inferences About the Individual hellip;b Parameters | |
| Checking the Overall Utility of a Model | |
| Using the Model for Estimation and Prediction | |
| Model Building: Interaction Models | |
| Model Building: Quadratic and Other Higher-Order Models | |
| Model Building: Qualitative (Dummy) Variable Models | |
| Model Building: Models with Both Quantitative and Qualitative Variables | |
| Model Building: Comparing Nested Models | |
| Model Building: Stepwise Regression | |
| Residual Analysis: Checking the Regression Assumptions | |
| Some Pitfalls: Estimability, Multicollinearity, and Extrapolation | |
| Categorical Data Analysis | |
| Categorical Data and the Multinomial Distribution | |
| Testing Categorical Probabilities: One-Way Table | |
| Testing Categorical Probabilities: Two-Way (Contingency) Table | |
| A Word of Caution about Chi-Square Tests | |
| Nonparametric Statistics | |
| Introduction: Distribution-Free Tests | |
| Single Population Inferences: The Sign Test | |
| Comparing Two Populations: The Wilcoxon Rank Sum Test for Independent Samples | |
| Comparing Two Populations: The Wilcoxon Signed Rank Test for the Paired Difference Experiment | |
| The Kruskal-Wallis H-Test for a Completely Randomized Design | |
| The Friedman F r -Test for a Randomized Block Design | |
| Spearman''s Rank Correlation Coefficient | |
| Tables Random Numbers | |
| Binomial Probabilities | |
| Poisson Probabilities | |
| Normal Curve Areas | |
| Exponentials | |
| Critical Values of t | |
| Critical Values of hellip;c2 | |
| Percentage Points of the F Distribution, hellip;a= .10 | |
| Percentage Points of the F Distribution, hellip;a=.05 | |
| Percentage Points of the F Distribution, hellip;a=.025 | |
| Percentage Points of the F Distribution, hellip;a=.01 | |
| Critical Values of T L and T U for the Wilcoxon Rank Sum Test: Independent Samples | |
| Critical Values of T O in the Wilcoxon Paired Difference Signed Rank Test | |
| Critical Values of Spearman''s Rank Correlation Coefficient | |
| Data Sets | |
| Coronary Artery Patients'' Blood Loss Data | |
| Car & Driver Data | |
| Starting Salaries of USF Graduates | |
| Sealed Milk Bids Data | |
| Federal Trade Commission Rankings of Domestic Cigarette Brands | |
| Calculation Formulas for Analysis of Variance | |
| Short Answers to Selected Odd-Numbered Exercises | |
| Index | |
| Table of Contents provided by Publisher. All Rights Reserved. |
