Statistics

Statistics : Informed Decisions Using Data

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Description

For algebra-based Introductory Statistics Courses.This text is written to promote student success while maintaining the integrity of the course. Sullivan draws on his teaching experience and background in statistics and mathematics to achieve this balance. The four basic principles characterize the approach of this text; generating and maintaining student interest, promoting student success and confidence, providing extensive and effective opportunity for student practice and allowing for flexibly of teaching styles.show more

Product details

  • Mixed media product | 944 pages
  • 205.7 x 259.1 x 40.6mm | 1,936.86g
  • Pearson Education Limited
  • Prentice-Hall
  • Harlow, United Kingdom
  • English
  • Illustrations (some col.)
  • 0130618640
  • 9780130618641

Table of contents

(NOTE: Each chapter ends with Chapter Review and Consumer Reports Project.) 1. Data Collection. Introduction to the Practice of Statistics. Observational Studies; Simple Random Sampling. Other Types of Sampling. Sources of Error in Sampling. The Design of Experiments. Case Study: Chrysalises for Cash. Decisions: What Movie Should I Go To? 2. Organizing and Summarizing Data. Organizing Qualitative Data. Organizing Quantitative Data, I. Organizing Quantitative Data , II. Graphical Misrepresentations of Data. Case Study: The Day the Sky Roared. Decisions: Tables or Graphs? 3. Numerically Summarizing Data. Measures of Central Tendency. Measures of Dispersion. Computing Measures of Central Tendency and Dispersion from Grouped Data. Measures of Position. The Five-Number Summary; Boxplots. Case Study: Who Was "A Mourner"? Decisions: What Car Should I Buy? 4. Describing the Relation Between Two Variables. Scatter Diagrams; Linear Correlation. Least-squares Regression. Diagnostics on the Least-squares Regression Line. Nonlinear Regression: Transformations. Case Study: The Mystery of Global Temperature Change. Decisions: What Car Should I Buy? 5. Probability. Probability of Simple Events. The Addition Rule; Complements. The Multiplication Rule. Conditional Probability. Counting Techniques. Case Study: The Case of the Body in the Bag. Decisions: Sports Probabilities. 6. Discrete Probability Distributions. Probability Distributions. The Binomial Probability Distribution. The Poisson Probability Distribution. Case Study: The Voyage of the St. Andrew. Decisions: Should We Convict? 7. The Normal Probability Distribution. Properties of the Normal Distribution. The Standard Normal Distribution. Applications of the Normal Distribution. Assessing Normality. Sampling Distributions; The Central Limit Theorem. The Normal Approximation to the Binomial Probability Distribution. Case Study: A Tale of Blood, Chemistry, and Health. Decisions: Join the Club. 8. Confidence Intervals about a Single Parameter. Confidence Intervals about a Population Mean, " known. Confidence Intervals about a Population Mean, " unknown. Confidence Intervals about the Population Proportion. Confidence Intervals about a Population Standard Deviation. Case Study: The Search for a Fire-Safe Cigarette. Decisions: What's Your Major? 9. Hypothesis Testing. The Language of Hypothesis Testing. Testing a Hypothesis about ", " known. Testing a Hypothesis about ", " unknown. Testing a Hypothesis about the Population Proportion. Testing a Hypothesis about ". The Probability of a Type II Error; the Power of the Test. Case Study: Dating Stonehenge. Decisions: What Does It Really Weigh? 10. Comparing Two Population Parameters. Inference about Two Means: Dependent Samples. Inference about Two Means: Independent Samples. Inference about Two Population Proportions. Inference about Two Population Standard Deviations. Case Study: Control in the Design of an Experiment. Decisions: Where Should I Invest? 11. Chi-Square Procedures. Chi-Square Goodness of Fit Test. Contingency Tables; Association. Chi-Square Test for Independence; Homogeneity of Proportions. Case Study: Feeling Lucky? Well, Are You? Decisions: Benefits of College. 12. Inference on the Least-squares Regression Model; ANOVA. Inference about the Least-squares Regression Model. Confidence and Prediction Intervals. One-way Analysis of Variance. Case Study: Craniometry: Hat Size and Intelligence. Decisions: Buying a Car. 13. Nonparametric Statistics. An Overview of Nonparametric Statistics. Runs Test for Randomness. Inferences about Measures of Central Tendency. Inferences about the Difference between Two Measures of Central Tendency: Dependent Samples. Inferences about the Difference between Two Measures of Central Tendency: Independent Samples. Spearman Rank Correlation Coefficient. Kruskal-Wallis Test. Case Study: Evaluating Alabama's 1891 House Bill 504. Decisions: Where Should I Live?show more

Rating details

66 ratings
2.98 out of 5 stars
5 17% (11)
4 21% (14)
3 29% (19)
2 11% (7)
1 23% (15)
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