
In the technologically advanced world of today, we encounter data and statistics daily. From news outlets to retail to social media, it is becoming ever more important to understand statistics and how they are used.
Introduction to Probability and Statistics is written to help "train your brain" for statistical thinking and understanding, a theme central to this 4th Canadian edition. This text contains full coverage of descriptive and inferential statistics while taking a user-friendly approach to help students practice, understand and connect to statistical thinking. The 4th Canadian edition aims to bolster student success with exercises that encourage students to use the breadth of their knowledge and develop strong conceptual foundations. Distinctly Canadian and engaging examples and data, such as that from social media, make
Introduction to Probability and Statistics relevant and modern for today's Canadian students and instructors. The WebAssign component for this title engages students with immediate feedback on randomized end-of-section exercises with question-level links to the appropriate section of a complete interactive eBook, and includes a test bank of multiple-choice questions.
Question 1 demonstrates how multiple grading methods are used to assess information about a relative frequency histogram that needs to be graphed from randomized data provided to the student.
Question 2 is an excellent example of how dotplots can be graded in the application.
Question 3 shows that probability calculations can be automatically graded.
Question 4 features grading for rounded numerical answers.
Question 5 uses a link that directs students to a statistics tool that calculated values from various distributions. There is also another link for the textbook distribution tables.
Questions 6 and 7 both demonstrate the process of hypotheses tests, each using two different methods to form a conclusion about the given information.
Question 8 features data from a real-world scenario to use for calculating a confidence interval.
Question 9 is an excellent example showing that students can enter values that are automatically graded into an ANOVA table.
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.