Agresti and Finley present statistical methods in a style that emphasizes their concepts and their application to the social sciences rather than the mathematics and computational details behind them.
Statistical Methods for the Social Sciences, 4e presents an introduction to statistical methods for students majoring in social science disciplines. No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra).
This text may be used in a one or two course sequence. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.
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Book Description Pearson, 2008. Hardcover. Book Condition: New. 1. Bookseller Inventory # DADAX0205632491
Book Description Pearson, 2008. Hardcover. Book Condition: New. book. Bookseller Inventory # 0205632491
Book Description Pearson, 2008. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: 1.Introduction 1.1 Introduction to statistical methodology 1.2 Descriptive statistics and inferential statistics 1.3 The role of computers in statistics 1.4 Chapter summary 2. Sampling and Measurement 2.1 Variables and their measurement 2.2 Randomization 2.3 Sampling variability and potential bias 2.4 other probability sampling methods * 2.4 Chapter summary 3. Descriptive statistics 3.1 Describing data with tables and graphs 3.2 Describing the center of the data 3.3 Describing variability of the data 3.4 Measure of position 3.5 Bivariate descriptive statistics 3.6 Sample statistics and population parameters 3.7 Chapter summary 4. Probability Distributions 4.1 Introduction to probability 4.2 Probablitity distributions for discrete and continuous variables 4.3 The normal probability distribution 4.4 Sampling distributions describe how statistics vary 4.5 Sampling distributions of sample means 4.6 Review: Probability, sample data, and sampling distributions 4.7 Chapter summary 5. Statistical inference: estimation 5.1 Point and interval estimation 5.2 Confidence interval for a proportion 5.3 Confidence interval for a mean 5.4 Choice of sample size 5.5 Confidence intervals for median and other parameters* 5.6 Chapter summary 6. Statistical Inference: Significance Tests 6.1 Steps of a significance test 6.2 Significance test for a eman 6.3 Significance test for a proportion 6.4 Decisions and types of errors in tests 6.5 Limitations of significance tests 6.6 Calculating P (Type II error)* 6.7 Small-sample test for a proportion: the binomial distribution* 6.8 Chapter summary 7. Comparison of Two Groups 7.1 Preliminaries for comparing groups 7.2 Categorical data: comparing two proportions 7.3 Quantitative data: comparing two means &nbs. Bookseller Inventory # ABE_book_new_0205632491
Book Description Allyn & Bacon, 2008. Paperback. Book Condition: Brand New. 4th edition. 624 pages. 10.75x8.25x1.25 inches. In Stock. Bookseller Inventory # 0205632491
Book Description Pearson, 2008. Hardcover. Book Condition: New. Bookseller Inventory # P110205632491