Basic Statistics and Data Analysis by Larry J. Kitchens (2002, Mixed Lot)

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About this product

Product Identifiers

PublisherBrooks/Cole
ISBN-10053438465X
ISBN-139780534384654
eBay Product ID (ePID)8038811697

Product Key Features

Number of Pages656 Pages
Publication NameBasic Statistics and Data Analysis
LanguageEnglish
Publication Year2002
SubjectProbability & Statistics / General, Statistics
TypeTextbook
Subject AreaMathematics, Social Science
AuthorLarry J. Kitchens
FormatMixed Lot

Dimensions

Item Height1.2 in
Item Weight47.2 Oz
Item Length10.3 in
Item Width7.8 in

Additional Product Features

Intended AudienceCollege Audience
LCCN2002-103127
Dewey Edition21
IllustratedYes
Dewey Decimal519.5
Table Of ContentPreface. Introduction: An Invitation to Statistics. 1. DESCRIBING DATA WITH GRAPHS. Variables and Data. Types of Variables. Graphs for Categorical Data. Graphs for Quantitative Data. Relative Frequency Histograms. Key Concepts. About MINITAB?Introduction to MINITAB. Supplementary Exercises. Do It Yourself Exercises. Case Study: How Is Your Blood Pressure? 2. DESCRIBING DATA WITH NUMERICAL MEASURES. Describing a Set of Data with Numerical Measures. Measures of Center. Measures of Variability. On the Practical Significance of the Standard Deviation. A Check on the Calculation of s. Measures of Relative Standing. The Five-Number Summary and the Box Plot. Key Concepts and Formulas. About MINITAB?Numerical Descriptive Measures. Supplementary Exercises. Do It Yourself Exercises. Case Study: The Boys of Summer. 3. DESCRIBING BIVARIATE DATA. Bivariate Data. Graphs for Qualitative Variables. Scatterplots for Two Quantitative Variables. Numerical Measures for Quantitative Bivariate Data. Key Concepts. About MINITAB?Describing Bivariate Data. Supplementary Exercises. Do It Yourself Exercises. Case Study: Do You Think Your Dishes Are Really Clean? 4. PROBABILITY AND PROBABILITY DISTRIBUTIONS. The Role of Probability in Statistics. Events and the Sample Space. Calculating Probabilities Using Simple Events. Useful Counting Rules (Optional). Event Relations and Probability Rules. Conditional Probability, Independence, and the Multiplicative Rule. Bayes' Rule (Optional). Discrete Random Variables and their Probability Distributions. Key Concepts and Formulas. About MINITAB?Discrete Probability Distributions. Supplementary Exercises. Do It Yourself Exercises. Case Study: Probability and Decision Making in the Congo. 5. SEVERAL USEFUL DISCRETE DISTRIBUTIONS. Introduction. The Binomial Probability Distribution. The Poisson Probability Distribution. The Hypergeometric Probability Distribution. Key Concepts and Formulas. About MINITAB?Binomial and Poisson Probabilities. Supplementary Exercises. Do It Yourself Exercises. Case Study: A Mystery: Cancers Near a Reactor. 6. THE NORMAL PROBABILITY DISTRIBUTION. Probability Distributions for Continuous Random Variables. The Normal Probability Distribution. Tabulated Areas of the Normal Probability Distribution. The Normal Approximation to the Binomial Probability Distribution (Optional). Key Concepts and Formulas. About MINITAB?Normal Probabilities. Supplementary Exercises. Do It Yourself Exercises. Case Study: The Long and Short of It. 7. SAMPLING DISTRIBUTIONS. Introduction. Sampling Plans and Experimental Designs. Statistics and Sampling Distributions. The Central Limit Theorem. The Sampling Distribution of the Sample Mean. The Sampling Distribution of the Sample Proportion. A Sampling Application: Statistical Process Control (Optional). Key Concepts and Formulas. About MINITAB?The Central Limit Theorem at Work. Supplementary Exercises. Do It Yourself Exercises. Case Study: Sampling the Roulette at Monte Carlo. 8. LARGE-SAMPLE ESTIMATION. Where We've Been. Where We're Going?Statistical Inference. Types of Estimators. Point Estimation. Interval Estimation. Estimating the Difference between Two Population Means. Estimating the Difference between Two Binomial Proportions. One-Sided Confidence Bounds. Choosing the Sample Size. Key Concepts and Formulas. Supplementary Exercises. Do It Yourself Exercises. Case Study: How Reliable Is That Poll? 9. LARGE-SAMPLE TESTS OF HYPOTHESES. Testing Hypotheses about Population Parameters. A Statistical Test of Hypothesis. A Large-Sample Test about a Population Mean. A Large-Sample Test of Hypothesis for the Difference between Two Population Means. A Large-Sample Test of Hypothesis for a Binomial Proportion. A Large-Sample Test of Hypothesis for the Difference between Two Binomial Proportions. Some Comments on Testing Hypotheses. Key Concepts and Formulas. Supplementary Exercises. Do It Yourself Exercises. Case Study: An Aspirin a Day? 10. INFERENCE FROM S
SynopsisWith an emphasis on exploratory data analysis, this title teaches students to identify trends in their data that may help them ask the right questions. It develops students' statistical intuition and nurtures the development of a statistical way of thinking., With an emphasis on exploratory data analysis, BASIC STATISTICS AND DATA ANALYSIS teaches students to identify trends in their data that will help them ask the right questions. Rather than leading students through operations on data, this modern textbook stresses hands-on experience with more than 200 real data sets and approximately 1000 exercises in the book. This new text, a basic version of Larry Kitchens' groundbreaking text, EXPLORING STATISTICS, develops students' statistical intuition and nurtures the development of a statistical way of thinking. The author has shaped this text specifically for the elementary statistics course, leaving out the more advanced topics from his previous book. MINITAB? is the main statistical analysis software utilized in the text.
LC Classification NumberHA29.K574 2003

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