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£56.99

MODERN ELEMENTARY STATISTICS: PEARSON NEW INTERNATIONAL EDITION

MIXED MEDIA PRODUCT BY FREUND, JOHN E.; PERLES, BENJAMIN M.

£56.99

ISBN
9781292039091
IMPRINT
PEARSON EDUCATION LIMITED

EDITION
12TH EDITION
PUBLISHER
PEARSON EDUCATION LIMITED
STOCK FOR DELIVERY
IN STOCK AT ONE OF OUR SUPPLIERS
FORMAT
MIXED MEDIA PRODUCT
PAGES
540 pages
PUBLICATION DATE
01 NOV 2013

DESCRIPTION

This book is intended for use in a first course in Statistics. There is a systematic academic approach in Modern Elementary Statistics . Its emphasis is on introduction to meaningful, well-established statistical techniques. The future would be medical doctor, business executive, scientist, teacher, or other professional specialist must comprehend and be skillful in the application of baisc statistical tools and methodology. The student's knowledge is greatly enhanced by repeated exposure to statistical exercises.

CONTENTS

PrefaceChapter 1: Introduction1.1 The Growth of Modern Statistics1.2 Sources of Statistical Data1.3 The Nature of Statistical Data Chapter 2: Summarizing Data: Listing and Grouping2.1 Listing Numerical Data2.2 Stem-and-Leaf Displays2.3 Frequency Distribution2.4 Graphical Presentations2.5 Summarizing Two-Variable Data Chapter 3: Summarizing Data: Measures of Location3.1 Population and Samples3.2 The Mean3.3 The Weighted Mean3.4 The Median3.5 Other Fractiles3.6 The Mode3.7 The Description of Grouped Data3.8 Technical Note (Summations) Chapter 4: Summarizing Data: Measures of Variation4.1 The Range4.2 The Standard Deviation and the Variance4.3 Applications of the Standard Deviation4.4 The Description of Grouped Data4.5 Some Further Descriptions Chapter 5: Possibilities and Probabilities5.1 Counting5.2 Permutations5.3 Combinations5.4 Probability Chapter 6: Some Rules of Probability6.1 Samples Spaces and Events6.2 The Postulates of Probability6.3 Probabilities and Odds6.4 Addition Rules6.5 Conditional Probability6.6 Multiplication Rules6.7 Bayes' Theorem Chapter 7: Expectations and Decisions7.1 Mathematical Expectation7.2 Decision Making7.3 Statistical Decision Problems Chapter 8: Probability Distributions8.1 Random Variables8.2 Probability Distributions8.3 The Binomial Distribution8.4 The Hypergeometric Distribution8.5 The Poisson Distribution8.6 The Multinomial Distribution8.7 The Mean of a Probability Distribution8.8 The Standard Deviation of a Probability Distribution Chapter 9: The Normal Distribution9.1 Continuous Distributions9.2 The Normal Distribution9.3 A Check for Normality9.4 Applications of the Normal Distribution9.5 The Normal Approximation to the Binomial Chapter 10: Sampling and Sampling Distributions10.1 Random Sampling10.2 Sample Designs10.3 Systematic Sampling10.4 Stratified Sampling10.5 Cluster Sampling10.6 Sampling Distributions10.7 The Standard Error of the Mean10.8 The Central Limit Theorem10.9 Some Further Considerations10.10 Technical Note (Simulation) Chapter 11: Problems of Estimation11.1 The Estimation of Means11.2 The Estimation of Means 11.3 The Estimation of Standard Deviations11.4 The Estimation of Proportions Chapter 12: Tests of Hypotheses: Means12.1 Tests of Hypotheses12.2 Significance Tests12.3 Tests Concerning Means12.4 Tests Concerning Means ( unknown)12.5 Differences Between Means 12.6 Differences Between Means ( unknown)12.7 Difference Between Means (Paired data) Chapter 13: Tests of Hypotheses: Standard Deviations13.1 Tests Concerning Standard Deviations13.2 Tests Concerning Two Standard Deviations Chapter 14: Tests of Hypotheses Based on Count Data14.1 Tests Concerning Proportions14.2 Tests Concerning Proportions (Large Samples)14.3 Differences Between Proportions14.4 The Analysis of r x c Table14.5 Goodness of Fit Chapter 15: Analysis of Variance15.1 Difference among k Means: An Example15.2 The Design of Experiments: Randomization15.3 One-Way Analysis of Variance15.4 Multiple Comparisons15.5 The Design of Experiments: Blocking15.6 Two-Way Analysis of Variance15.7 Two-Way Analysis of Variance Without Interaction15.8 The Design of Experiments: Replication15.9 Two-Way Analysis of Variance with Interaction15.10 The Design of Experiments: Further Considerations Chapter 16: Regression16.1 Curve Fitting16.2 The Method of Least Squares16.3 Regression Analysis16.4 Multiple Regression16.5 Nonlinear Regression Chapter 17: Correlation17.1 The Coefficient of Correlation17.2 The Interpretation of r17.3 Correlation Analysis17.4 Multiple and Partial Correlation Chapter 18: Nonparametric Tests18.1 The Sign Test18.2 The Sign Test (Large Samples)18.3 The Signed-Rank Test18.4 The Signed-Rank Test (Large Samples)18.5 The U Test18.6 The U Test (Large Samples)18.7 The H Test18.8 Tests of Randomness: Runs18.9 Tests of Randomness: Runs (Large Samples)18.10 Tests of Randomness: Runs Above and Below the Median18.11 Rank Correlation18.12 Some Further Considerations