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4434Introductory Statistics
http://www.merlot.org/merlot/viewMaterial.htm?id=334307
'Introductory Statistics follows the scope and sequence of a one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean, which has been widely adopted. Introductory Statistics includes innovations in art, terminology, and practical applications, all with a goal of increasing relevance and accessibility for students. We strove to make the discipline meaningful and memorable, so that students can draw a working knowledge from it that will enrich their future studies and help them make sense of the world around them. The text also includes Collaborative Exercises, integration with TI-83,83+,84+ Calculators, technology integration problems, and statistics labs.'Online Statistics Education: An Interactive Multimedia Course of Study
http://www.merlot.org/merlot/viewMaterial.htm?id=353396
This 'is a resource for learning and teaching introductory statistics. It contains material presented in textbook format and as video presentations. This resource features interactive demonstrations and simulations, case studies, and an analysis lab.' 'This first chapter begins by discussing what statistics are and why the study of statistics is important. Subsequent sections cover a variety of topics all basic to the study of statistics. One theme common to all of these sections is that they cover concepts and ideas important for other chapters in the book.'Introduction to Research Methods in Political Science:
http://www.merlot.org/merlot/viewMaterial.htm?id=337129
This OPEN TEXTBOOK is for Politically-Oriented Web-Enhanced Research Methods for Undergraduates Topics and Tools: Resources for introductory research methods courses in political science and related disciplines The POWERMUTT Project is a cross between an introductory political science research methods textbook and an online resource for teaching and learning such methods. It includes: Topics. Each topic is equivalent to a short chapter in a traditional textbook. Tools. These are brief step-by-step tutorials for carrying out specific techniques. At present, the Tools described are some of those found in SPSS, a leading software package for statistical analysis. Datasets and codebooks. Data, and codebooks describing them, on public opinion, the American states, the U.S. Congress, and the countries of the world. Links to other sites providing additional information about research methods. Compared to traditional textbooks, POWERMUTT offers several important advantages, including: Flexibility. Your instructor may have decided to adopt the entire POWERMUTT site as the main course "textbook," or to use just a small portion of the site's resources as supplementary material. Interactivity. Want to see exactly how a table or graph was generated? With POWERMUTT PUPs (Pop Up Protocols), the answer is just a click away. Just as close is additional information on other resources within POWERMUTT or elsewhere on the Web. Affordability. In fact, it's free! However, your instructor may ask you to purchase hard copy of all or part of POWERMUTT for a nominal cost at your campus copy center. While most of the materials in the project are for reference, some, especially the Topics, need to be studied carefully. A highlighter will really mess up your monitor. You can save money by directly downloading the Topics and printing them at home.Introductory Statistics
http://www.merlot.org/merlot/viewMaterial.htm?id=880392
'This book is meant to be a textbook for a standard one-semester introductory statistics course for general education students.Over time the core content of this course has developed into a well-defined body of material that is substantial for a one-semester course. The authors believe that the students in this course are best served by a focus on the core material and not by an exposure to a plethora of peripheral topics. Therefore in writing this book we have sought to present material that comprises fully a central body of knowledge that is defined according to convention, realistic expectation with respect to course duration and students’ maturity level, and our professional judgment and experience.'Probability and Statistics
http://www.merlot.org/merlot/viewMaterial.htm?id=435101
'This course introduces students to the basic concepts and logic of statistical reasoning and gives the students introductory-level practical ability to choose, generate, and properly interpret appropriate descriptive and inferential methods. In addition, the course helps students gain an appreciation for the diverse applications of statistics and its relevance to their lives and fields of study. The course does not assume any prior knowledge in statistics and its only prerequisite is basic algebra.'The course is organized in 4 units:'Unit 1 Exploratory Data Analysis. This is organized into two modules – Examining Distributions and Examining Relationships. The general approach is to provide students with a framework that will help them choose the appropriate descriptive methods in various data analysis situations.Unit 2 Producing Data. This unit is organized into two modules – Sampling and Study Design.Unit 3 Probability. The unit is a classical treatment of probability and includes basic probability principles, conditional probability, discrete random variables (including the Binomial distribution) and continuous random variables (with emphasis on the normal distribution).Unit 4 Inference. This unit introduces students to the logic as well as the technical side of the main forms of inference: point estimation, interval estimation and hypothesis testing. The unit covers inferential methods for the population mean and population proportion, Inferential methods for comparing the means of two groups and of more than two groups (ANOVA), the Chi-Square test for independence and linear regression. The unit reinforces the framework that the students were introduced to in the Exploratory Data Analysis for choosing the appropriate, in this case, inferential method in various data analysis scenarios.Throughout the course there are many interactive elements. These include: simulations, “walk-throughs” that integrate voice and graphics to explain an example of a procedure or a difficult concept, and, most prominently, computer tutors in which students practice problem solving, with hints and immediate and targeted feedback. The most elaborate of such activities is the “StatTutor,” a tool that supports students as they go through the processes of data analysis while emphasizing the big picture of statistics.'Notes on regression & forecasting
http://www.merlot.org/merlot/viewMaterial.htm?id=905334
This web site contains notes and materials for a course on statistical forecasting that has been taught at the Fuqua School of Business, Duke University, for over 30 years. It covers basic techniques of data analysis as well as linear regression and time series forecasting. It emphasizes practical, hands-on computer modeling and is intended to serve as a complement rather than a substitute for traditional courses and reference materials on statistics. The material on regression is illustrated with output from RegressIt, a recently-developed free Excel add-in whose procedures for descriptive data analysis and ordinary linear regression offer high-quality output and support for good modeling practices. (http://regressit.com) This content on this site should be useful as self-instruction and reference material for students and practitioners who use regression and time series forecasting methods, as well as anyone who uses Excel-based tools for statistical analysis.OpenIntro Statistics, Second Edition
http://www.merlot.org/merlot/viewMaterial.htm?id=606387
'The OpenIntro project was founded in 2009 to improve the quality and availability of education by producing exceptional books and teaching tools that are free to use and easy to modify. Our inaugural effort is OpenIntro Statistics. Probability is optional, inference is key, and we feature real data whenever possible.'The table of contents includes:1 - Introduction to Data2 - Probability3 - Distributions of random variables4 - Foundations for inference5 - Inference for numerical data6 - Inference for categorical data7 - Introduction to linear regression8 - Multiple and logistic regressionStatistics
http://www.merlot.org/merlot/viewMaterial.htm?id=830772
'The Boundless Statistics textbook is a college-level, introductory textbook that covers the fascinating subject of Statistics, a branch of mathematics often highly relevant to everyday situations. Boundless works with subject matter experts to select the best open educational resources available on the web, review the content for quality, and create introductory, college-level textbooks designed to meet the study needs of university students.This textbook covers:Statistics and Statistical Thinking – OverviewStatistics in Practice -- Observational Studies, Controlled ExperimentsVisualizing Data -- The Histogram, Graphing DataFrequency Distributions -- Frequency Distributions for Quantitative Data, Frequency Distributions for Qualitative DataDescribing, Exploring, and Comparing Data -- Central Tendancy, Measures of Relative Standing, The Law of Averages, Further Considerations for DataMeasures of Variation -- Describing VariabilitySampling -- Populations and Samples, Sample Surveys, Sampling Distributions, Errors in Sampling, Sampling ExamplesProbability -- What Are the Chances?, Probability Rules, More About ChanceProbability and Variability -- Discrete Random Variables, The Binomial Random Variable, Other Random VariablesContinuous Random Variables -- The Normal Curve, Normal Approximation for Data, Measurement Error, Expected Value and Standard Error, Normal Approximation for Probability HistogramsCorrelation and Regression -- Correlation, More About Correlation, Regression, The Regression Line, R.M.S. Error for Regression, Multiple RegressionEstimation and Hypothesis Testing -- Estimation, Confidence Intervals, Hypothesis Testing, Hypothesis Testing with Two Samples, Comparing More than Two Means, The F-Test, Analysis of Variance (Repeated Measures)Other Hypothesis Tests -- The T-Test, The Chi-Squared Test, Tests for Ranked Data, Nonparametric StatisticsA Closer Look at Tests of Significance -- Which Test?, A Closer Look at Tests of Significance'Statistics for the Behavioral and Social Sciences 4e
http://www.merlot.org/merlot/viewMaterial.htm?id=441719
This free, online textbook is found at HippoCampus, so the book is indexed by topic, rather than using a table of contents. This makes it a little harder to access than the normal textbook. Some of the textbook content is written text, while other parts are multi-media.“HippoCampus is a project of the Monterey Institute for Technology and Education (MITE). The goal of HippoCampus is to provide high-quality, multimedia content on general education subjects to high school and college students free of charge. HippoCampus was designed as part of Open Education Resources (OER), a worldwide effort to improve access to quality education for everyone.”Statistics for the Behavioral Sciences 7e
http://www.merlot.org/merlot/viewMaterial.htm?id=441722
This free, online textbook is found at HippoCampus, so the book is indexed by topic, rather than using a table of contents. This makes it a little harder to access than the normal textbook. Some of the textbook content is written text, while other parts are multi-media.“HippoCampus is a project of the Monterey Institute for Technology and Education (MITE). The goal of HippoCampus is to provide high-quality, multimedia content on general education subjects to high school and college students free of charge. HippoCampus was designed as part of Open Education Resources (OER), a worldwide effort to improve access to quality education for everyone.”