## M358K Syllabus

APPLIED STATISTICS

Prerequisite and degree relevance: The prerequisite is M362K with grade of C- or better. This course is intended for students in the Probability and Statistics math major specialization, students planning to teach secondary mathematics, students working for a BA in mathematics, and (as space permits) students in the natural sciences. Students preparing for graduate work in mathematical statistics should take M378K instead of or after taking this course.

Text: The standard textbook is Moore and McCabe, Introduction to the Practice of Statistics, fifth edition. This will be supplemented with additional material.

Resources:
Instructors should contact Martha Smith for more details on the project, pacing and supplemental material.

Project: Students will be expected to do a term project to apply the material studied in the course.

Computer use: Students are expected to use software (typically, Minitab) to create graphs and do statistical calculations. They should also be able to interpret software output.

Syllabus: keyed to Moore and McCabe:

Chapter 1: Looking at Data - Distributions
Sections 1 - 3, supplemented with additional activities and material.
Chapter 2:  Looking at Data - Relationships
Sections 1 – 5, supplemented with additional material.
Chapter 3: Producing Data
Sections 1 – 4, supplemented with additional material, including the project proposal.
Chapter 4: Probability: The Study of Randomness.
Sections 1 – 5 (Mostly review from M362K.)
Chapter 5: Sampling Distributions
Sections 1 and 2, supplemented with class activities and material.
Chapter 6: Introduction to Inference
Sections 1 – 4, supplemented with class activities.
Chapter 7: Inference fro Distributions
Sections 1 – 3, supplemented with additional material.
Chapter 8: Inference for Proportions
Sections 1 – 2
Chapter 9: Analysis of Two-Way Tables
Sections 9.1 – 9.3 (optional topics in 9.2 may be omitted), possibly supplemented with additional material. (Instructor may substitute Chapter 12: One-Way Analysis of Variance.)
Chapter 10: Inference for Regression
Sections 1 – 2, supplemented with derivations of formulas.

Syllabus written by Martha Smith, August 2008