
Dan Larose's
Discovering Statistics, 3rd edition, published by
W. H. Freeman, is the ideal text for instructors who want to teach the basics of statistical computation as well as how to interpret and apply the results of those computations. Using real data, contemporary examples, step-by-step solutions, extensive pedagogy, and support for common statistical software options, the text familiarizes students with essential computational skills, while helping them build the conceptual understanding needed to interpret and explain their findings. The WebAssign component of this title features an interactive eBook, video resources and a Course Pack of premade assignments.
Question 1 features a randomized data table where a student fills in a stem-and-leaf display based on their unique set of values.
Question 2 demonstrates grading for the coefficients of a linear regression line, allowing for potential partial credit.
Question 3 exhibits grading for a list of values, where the number of values is randomized and the student may enter the list in any order.
Question 4 is a multi-part question analyzing a discrete probability distribution, then identifying outliers by selecting all appropriate values from a list.
Question 5 has the student calculate the normal data values for a given area, and tolerance allows for the use of a table or technology. It also utilizes a graph of a normal distribution as the backdrop for labeling key values of the sampling distribution.
Question 6 shows the format for a confidence interval and has the student interpret each part of the question.
Question 7 includes a downloadable data set for students to analyze and perform a hypothesis test using a statistical program.
Question 8 works through a hypothesis test for two proportions using randomized data.
Question 9 contains an ANOVA table and hypothesis test, with tolerance that accounts for rounding intermediate values.
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.