# MATH 211 Introduction to Statistical Analysis

An introduction to statistical analysis for students with a background in calculus. Includes probability theory, probability distributions, expectation, statistical inference, regression and correlation.

For information regarding prerequisites for this course, please refer to the Academic Course Catalog.

### Course Guide

View this course’s outcomes, policies, schedule, and more.*

*The information contained in our Course Guides is provided as a sample. Specific course curriculum and requirements for each course are provided by individual instructors each semester. Students should not use Course Guides to find and complete assignments, class prerequisites, or order books.

As a member of a society increasingly devoted to the use and misuse of numbers, the student must learn to correctly interpret statistical presentations in all areas and especially in his/her major fields. This course is designed to give the student a working knowledge of statistics with an emphasis on application rather than theory.

### Textbook readings and lecture presentations

No details available.

### Course Requirements Checklist

After reading the Course Syllabus and Student Expectations, the student will complete the related checklist found in the Course Overview.

### Discussion: Lies and Statistics?

Discussions are collaborative learning experiences. Therefore, the discussion introduces some of the ethical challenges that are specific to the practice of statistics and encourages the student to approach these situations from a Christian perspective. For the discussion, the student must post a thread of 100-300 words (answering all of the prompts). Then, the student must post two replies of 30-50 words each. (FSLO: TSQR 4)

### Homework Assignments (8)

The student will complete a homework assignment each Module: Week in the WebAssign that is associated with the course textbook. Typically, assignments will cover 4 – 5 sections from the textbook, but this will vary depending on the length and difficulty of each section included in the assignment. The student will be required to earn a 70% on each assignment before moving on to the next homework assignment or test. (CLO: A, B, C, D, E; FSLO: TSQR 1, 2)

This project applies combinatorics to an important real-life application and further explores topics introduced in the text. (CLO: A, C; FSLO: TSQR 1, 2).

### Project: Introduction to Cryptography Assignment

This project uses confidence intervals to analyze letter frequencies and applies this to decrypting a fairly simple type of coded message. It’s an application of inferential statistics within the area of cyber-security, broadly-defined. (CLO: CLO A, C; FSLO: TSQR 1, 2)

### Quiz: Exams (4)

Each test will cover the Learn material for two Modules: the material assigned during the test Module: Week and the material from the previous Module: Week. Tests are not cumulative. Each test will be open-book/open-notes, contain 12-14 multiple-choice and short-answer questions, and have a 3-hour time limit. These tests will be completed in the WebAssign that is associated with the course textbook. (CLO: A, B, C, D, E; FSLO: TSQR 1, 2)