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ABSTRACT:

The material presented here is a very small subset of problems currently being prepared for a larger instructional improvement pro ject funded by the Office of Instructional Development (OID) at UCLA. The objective of the pro ject is to create a manual with data sets and contextual problems for Computer Science majors that will complement the textbooks used in the calculus-based upper-division Applied Statistics course. More than one third of the students in this course are from Computer Science, while the remaining students come from Engineering and Applied Math, with a very few majoring in fields like Economics, Biology or Genetics. The course is a prerequisite for another one taught by the Computer Science Department on advanced Probability Models for Computer Science, which many ma jors taking Applied Statistics never take.