Introductory statistics and analytics a resampling perspective free download

While each institution makes its own decisions about whether to grant credit and how much to grant, most U. By continuing to use this website, you consent to the use of cookies in accordance with our Cookie Policy.

Introductory Statistics for College Credit. Alert me to upcoming courses. Group Rates. Learning Outcomes. Specify the design of a basic randomized controlled study Conduct computer resampling simulations, including the bootstrap and permutation test, to model the effects of chance Conduct A-B tests 2-sample comparisons and test the results for statistical significance Measure correlation Use regression for prediction and explanation, and assess the model Explain the use of k-nearest-neighbor methods for predicting a binary outcome.

Who Should Take This Course. Meena Badade. See Instructor Bio. Anuja Kulkarni. Peter Bruce. Course Syllabus - Part 1. Week 1. Week 2. Week 3. Week 4. Course Syllabus - Part 2. Week 5. Week 6. Correlation and Simple 1-variable Regression Correlation coefficient Significance testing for correlation Fitting a regression line by hand Least squares fit Using the regression equation.

Week 7. Multiple Regression Explain or predict? Week 8. Prediction; K-Nearest Neighbors Using the regression model to make predictions Using a hold-out sample Assessing model performance K-nearest neighbors. Class Dates. What Our Students Say. Lily Gadamus. Program Evaluator, Southcentral Foundation. Jeff Cox. City of Columbus. Frequently Asked Questions. What is your satisfaction guarantee and how does it work?

Who are the instructors at the Institute? Our faculty members are: Authors of well-regarded texts in their area; Advisory board members; Senior faculty; and Educators who have made important contributions to the field of statistics or online education in statistics.

What type of courses does the Institute offer? Do your courses have for-credit options? Is the Institute for Statistics Education certified? Visit our knowledge base and learn more. Related Courses. Which hospital error-reporting regime is better—no-fault or standard? Does providing additional explanation on the web reduce product returns? After completing this chapter, you should be able to compare multiple groups using boxplots, explain the problems involved with multiple testing, explain how the observations in a multigroup experiment can be decomposed into an overall average component, a treatment component, and a residual component, explain interaction, and include it in an ANOVA analysis, explain what factorial design is, what its advantages are, and what types of studies it is useful for, explain the role of blocking in experiments.

Get it now. He is the Eleanor F. Rust Professor of Business Administration and teaches MBA courses in decision analysis, data analysis and optimization, and managerial quantitative analysis. He also teaches executive education courses in strategic analysis and decision-making, and managing the corporate aviation function. Home [. Preis PDF eBook [. Kelly PDF eBook [.

Pollock PDF eBook [. Abrams PDF eBook [. Anderson PDF eBook [. Moore PDF eBook [.