Showing papers on "Population proportion published in 2001"
Book•
06 Jul 2001
TL;DR: In this article, the authors describe, explore, and compare data summarizing data with frequency tables, pictures of Data Measures of Center Measures of Variation, and contrast data with Frequency Tables.
Abstract: (Each Chapter begins with an Overview) 1. Introduction to Statistics The Nature of Data Uses and Abuses of Statistics Design of Experiments 2. Describing, Exploring, and Comparing Data Summarizing Data with Frequency Tables Pictures of Data Measures of Center Measures of Variation. Measures of Position Exploratory Data Analysis (EDA) 3. Probability Fundamentals Addition Rule Multiplication Rule: Basics Multiplication Rule: Complements and Conditional Probability Counting 4. Probability Distributions Random Variables Binomial Probability Distributions Mean, Variance, and Standard Deviation for the Binomial Distribution 5. Normal Probability Distributions The Standard Normal Distribution Nonstandard Normal Distributions: Finding Probabilities Nonstandard Normal Distributions: Finding Values The Central Limit Theorem Normal Distribution as Approximation to Binomial Distribution 6. Estimates and Sample Sizes Estimating a Population Mean: Large Samples Estimating a Population Mean: Small Samples Determining Sample Size Estimating a Population Proportion Estimating a Population Variance 7. Hypothesis Testing Fundamentals of Hypothesis Testing Testing a Claim about a Mean: Large Samples Testing a Claim about a Mean: Small Samples Testing a Claim about a Proportion Testing a Claim about a Standard Deviation or Variance 8. Inferences from Two Samples Inferences about Two Means: Independent and Large Samples Inferences about Two Means: Matched Pairs Inferences about Two Proportions 9. Correlation and Regression Correlation Regression Variation and Prediction Intervals 10. Chi-Square and Analysis of Variance Multinomial Experiments: Goodness-0f-Fit Contingency Tables: Independence and Homogeneity One-Way ANOVA Appendices Appendix A: Tables Appendix B: Data Sets Appendix C: TI-83 Plus Reference Appendix D: Answers to Odd-Numbered Exercises (and All Review Chapter Exercises and All Cumulative Review Exercises) Credits
87 citations
TL;DR: In this article, a simple and obvious procedure is presented that allows to estimate π, the population proportion of a sensitive group, in addition to T, the probability that the respondents belonging to the sensitive group tell the truth whenever questioning directly.
Abstract: In this paper, a simple and obvious procedure is presented that allows to estimate π, the population proportion of a sensitive group, in addition to T, the probability that the respondents belonging to the sensitive group tell the truth whenever questioning directly. Properties of the estimators of π and T as well as sample size allocation are studied. And, efficiency comparisons are carried out to investigate the performance of the proposed method. It is found that the proposed strategy is more efficient than Warner's (1965) strategy, and has an additional advantage of deciding the optimal survey technique for practical situations.
38 citations
Book•
15 Oct 2001
TL;DR: The aim of this book is to provide a Discussion of the Foundations of Hypothesis Testing and its Applications in Data Mining and Analysis, and to provide some suggestions on how to improve the quality of such studies.
Abstract: Preface. Introduction from the First Edition. 1. Proportions, Rates, and Ratios. 1.1 Proportions. 1.3 Ratios. 1.4 Graphical and Computational Aids. Exercises. 2. Organization, Summarization, and Presentation of Data. 2.1 Tabular and Graphical Methods. 2.2 Numerical Methods. 2.3 Coefficient of Correlation. 2.4 Graphical and Computational Aids. Exercises. 3. Probability and Probability Models. 3.1 Probability. 3.2 The Normal Distribution. 3.3 Probability Models. 3.4 Graphical and Computational Aids. Exercises. 4. Confidence Estimation. 4.1 Basic Concepts. 4.2 Estimation of a Population Mean. 4.3 Estimation of a Population Proportion. 4.4 Estimation of a Population Odds Ratio. 4.5 Estimation of a Population Correlation Coefficient. 4.6 A Note on Computation. Exercises. 5. Introduction to Hypothesis Testing. 5.1 Basic Concepts. 5.2 Analogies. 5.3 Summaries and Conclusions. 6. Comparison of Population Proportions. 6.1 One-sample Problem with Binary Data. 6.2 Analysis of Pair-matched Data. 6.3 Comparison of Two Proportions. 6.4 The Mantel-Haenszel Method. 6.5 Computational Aids. Exercises. 7. Comparison of Population Means. 7.1 One-sample Problem with Continuous Data. 7.2 Analysis of Pair-matched Data. 7.3 Comparison of Two Means. 7.5 One-way Analysis of Variance (ANOVA). 7.6 Computational Aids. Exercises. 8. Regression Analysis. 8.1 Simple Regression Analysis. 8.2 Multiple Regression Analysis. 8.3 Graphical and Computational Aids. Exercises. Bibliography. Appendices. A. Table of Random Numbers. B. Areas under the Standard Normal Curve. C. Percentiles of the t-Distribution. D. Percentiles of the Chi-square Distribution. E. Percentiles of the F-Distribution. Answers to Exercises. Index.
12 citations
TL;DR: The application of statistical methods is becoming increasingly prevalent in litigation, which brings a number of issues to the fore, including which techniques, appropriate measures and sizes of disparity as discussed by the authors, and evaluates the issues raised.
Abstract: Cites that the application of statistical methods is becoming increasingly prevalent in litigation which brings a number of issues to the fore, including which techniques, appropriate measures and sizes of disparity. Concentrates on the “two‐tailed test” for the population mean and for the population proportion. Provides examples of their use in court and evaluates the issues raised. Discusses the 80 per cent rule.