Introduction to Probability and Statistics (Metric Version), 15th edition, by Mendenhall, Beaver, and Beaver, published by
Cengage Learning, is a major overhaul from the previous edition, lowering the reading level, introducing concepts in a more intuitive way and significantly increasing homework scaffolding for difficulty level. Written in compliance with the GAISE college report, this text teaches students to become problem solvers who are adept at using technology to facilitate statistical reasoning as well as the interpretation of statistical results. Students will be able to describe real sets of data meaningfully, what the statistical tests mean in terms of their practical applications, how to evaluate the validity of the assumptions behind statistical tests and know what to do when statistical assumptions have been violated. The 15th edition contains 1884 exercises, employs real data throughout, and includes at least 75% new or updated examples.
Introduction to Probability and Statistics (Metric Version), 15th edition, adds new sections on the uniform and exponential distributions, normal probability plots for assessing normality, best subsets regression procedures and binary logistic regression. The WebAssign component for this text engages students with an interactive eBook and several other resources.
These questions show a variety of question types available in WebAssign for use with this title.
Question 1 asks students to answer multiple choice questions about pie charts.
Question 2 asks students to think through a linear regression scenario then numerically enter statistics and a regression equation.
Question 3 asks students to answer multiple select questions about side-by-side boxplots.
Question 4 walks students through the steps for a hypothesis test.
Question 5 is a Simulation Question utilizing the JMP Applet.
Question 6 is a Stats in Practice question that demonstrates the use of videos displayed within a question, followed by multiple choice and discussion questions in a unique two-part accordion style of display.
Question 7 is an example of a Statistical Lab. These activities support SPSS, Minitab, R, JMP, Excel, and TI 83/84 or TI-Inspire calculators.
Question 8 highlights Milestone 1, the first step in presenting and tracking Project milestones for a statistical research project.
Question 9 is a Concept Question where students are asked to provide a short answer to a prompt, then answer a multiple choice question about the same prompt, then reflect on their original answer.
Question 10 provides assistance to students as they work through the steps for a hypothesis test.
This demo assignment allows many submissions and allows you to try another version of the same question for practice wherever the problem has randomized values.
The answer key and solutions will display after the first submission for demonstration purposes. Instructors can configure these to display after the due date or after a specified number of submissions. |