Through four previous editions, Introductory Statistics has made statistics both interesting and accessible to a wide and varied audience. The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. Now this bestseller is available in a new Fifth Edition. INDICE: Chapter 1: Introduction. 1.1 What is Statistics. 1.2 Types of Statistics. 1.3 Population vs. Sample. 1.4 Basic Terms. 1.5 Types of Variables. 1.6 Cross-Section vs. Time-Series Data. 1.7 Sources of Data. 1.8 Summation Notation. *Uses & Misuses. *Glossary. *Supplementary Exercises. *Self Review Test. *Mini Project. *Technology Assignments. Chapter 2: Organizing Data. 2.1 Raw Data. 2.2 Organizing and Graphing Qualitative Data. 2.3 Organizing and Graphing Quantitative Data. 2.4 Shapes of Histograms. 2.5 Cumulative Frequency Distributions. 2.6 Stem-and-Leaf Displays. Chapter 3: Numerical Descriptive Measures. 3.1 Measures of Central Tendency for Ungrouped Data. 3.2 Measures of Dispersion for Ungrouped Data. 3.3 Mean, Variance, and Standard Deviation for Grouped Data. 3.4 Use of Standard Deviation. 3.5 Measures of Position. 3.6 Box-and-Whisper Plot. Chapter 4: Probability. 4.1 Experiment, Outcomes & Sample Space. 4.2Calculating Probability. 4.3 Counting Rule. 4.4 Marginal & Conditional Probabilities. 4.5 Mutually Exclusive Events. 4.6 Independent vs. Dependent Events. 4.7 Complementary Events. 4.8 Intersection of Events & the Multiplication Rule. 4.9 Union of Events and the Addition Rule. Chapter 5: Discrete Random Variables & Their Probability Distributions. 5.1 Random Variables. 5.2 Probability Distribution of a Discrete Random Variable. 5.3 Mean of a Discrete Random Variable. 5.4 Standard Deviation of a Discrete Random Variable. 5.5 Factorials and Combinations. 5.6 The Binomial Probability Distribution. 5.7 The Hypergeometric Probability Distribution. 5.8 The Poisson Probability Distribution. Chapter 6: Continuous Random Variables and the Normal Distribution. 6.1 Continuous Probability Distribution. 6.2 The Normal Distribution. 6.3 The Standard Normal Distribution. 6.4 Standardizing a Normal Distriution. 6.5 Applications of the Normal Distribution. 6.6 Determining the z and x Values When an Area Under the Normal Distribution Curve is Known. 6.7 The Normal Approximation to the Binomial Distribution. Chapter 7: Sampling Distributions. 7.1 Population and SamplingDistributions. 7.2 Sampling and Non-Sampling Errors. 7.3 Mean and Standard Deviation of x. 7.4 Shape of the Sampling Distribution x. 7.5 Applications of the Sampling Distribution of x. 7.6 Population and Sample Proportions. 7.7 Mean,Standard Deviation, and Shape of the Sampling Distribution of p. Chapter 8:Estimation of the Mean and Proportion. 8.1 Estimation: An Introduction. 8.2 Point and Interval Estimates. 8.3 Interval Estimation of a Population Mean: Large Samples. 8.4 Interval Estimation of a Population Proportion: Small Samples. 8.5 Interval Estimation of a Population Proportion: Large Samples. 8.6 Determining the Sample Size for the Estimation of Mean. 8.7 Determining the Sample Sizefor the Estimation of Proportion. Chapter 9: Hypothesis Tests About the Mean and Proportion. 9.1 Hypothesis Tests: An Introduction. 9.2 Hypothesis Tests Using the p-Value Approach. 9.3 Hypothesis Tests About a Population Mean: Small Samples. 9.4 Hypothesis Tests About a Population Mean: Large Samples. Chapter10: Estimation & Hypothesis Testing: Two Populations. 10.1 Inferences About the Difference Between Two Population Means For Large and Independent Samples. 10.2 Inferences About the Difference Between Two Populations Means for Small and Independent Samples: Equal Standard Deviations. 10.3 Inferences About the Difference Between Two Population Means for Small and Independent Samples: Unequal Standard Deviations. 10.4 Inferences About the Difference Between Two Population Means for Paired Samples. 10.5 Inferences About the Difference Between Two Population Proportions for Large and Independent Samples. Chapter 11: Chi Square Tests. 11.1 The Chi Square Distribution. 11.2 A Goodeness-of-Fit Test. 11.3 Contingency Tables. 11.4 A Test of Independence or Homogeneity. 11.5 Inferences About the Population Variance. Chapter 12: Analysis of Variance... etc.
- ISBN: 978-0-470-50583-0
- Editorial: John Wiley & Sons
- Encuadernacion: Rústica
- Páginas: 750
- Fecha Publicación: 01/05/2010
- Nº Volúmenes: 1
- Idioma: Inglés