Collaborative Statistics 2/e, by Barbara Illowsky and Susan Dean, is an open source introductory statistics text available from both
Connexions and
Orange Grove Open Source Content Repositories. The text offers applications of all the basic tests solved by statistical calculators or software. It is intended for a course requiring just Intermediate Algebra, not Calculus, as a prerequisite.
Questions include items from the end of chapter
Homework and
Labs.
Questions 1-4 represent
independent multi-part items, commonly found throughout the text. The responses to each of these multi-part items are not dependent on any of its parts. Thus the items are coded in the WebAssign system separately, allowing the instructor to assign one or more of the sub-parts.
Questions 1 and 3 are based on real data and thus, not randomized. Questions 2 and 4 contain multiple choice item types with graphs, yet the distracters are randomized.
Question 5 is a
dependent multi-part item that uses real data so it does not have randomization.
Question 6 is a randomized version of question 5 with carefully ranged data.
Question 7 is another example of a multi-part dependent item. This item is also
comprehensive in that it requires students to apply knowledge learned from previous chapters as well as the current chapter to answer it correctly.
Question 8 is a non-randomized item, similar in type to question 5.
Question 9 is similar to question 8. It is a randomized version of question 8 where the context of the data presented in the item was slightly altered to allow for randomization.
Question 10 is a multiple-choice item from the
Homework with a numeric solution converted to a WebAssign randomized question.
Question 11 is a
Lab. These extensive multi-part items require students to collect, input, and analyze their unique data. Hence, their responses in subsequent steps are marked based on their data input. The
Labs are generally comprehensive from previous chapters as well as the current one.
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.