# Mathematics

## Math 130 Introductory Statistics

Spring 2005

MWF – 12:10 – 1:00

Jim Bagniewski

Classroom – MC 201

Office – MC 554

Phone at Lincoln M.S. – 789-7780 at home – 784-9035

Email – jbagniewski@charter.net– home

1. . – La Crosse School District – Lincoln

Catalog Course Description:  An introductory course which deals with the organization and processing of various types of data, normal and binomial distributions, estimation theory, hypothesis testing, correlation and regression, and some nonparametric tests.

Prerequisites:  acceptable placement score or grade of C or higher in Math 001.

Text:  Elementary Statistics by Mrio Triola, 9th Edition, 2003

Core Abilities:

1. Thinking: Students engage in the process of inquiry and problem solving that involves both critical and creative thinking.
1. Reason deductively by learning general principles which are then applied to problems.
2. Reason inductively by studying examples, seeing the common characteristics, and broadening the solution to the generic case.
3. Learn to use the statistical process as one of the means of answering a question or supporting a position.Life Value Skills:  Students analyze, evaluate and respond to ethical issues from an informed personal value system.
1. Learn of some classic examples of the misuse of statistics and its consequences.
2. Acquire an appreciation for the importance of honesty in the presentation of all (not just favorable) outcomes of statistical research.
2. Communication Skills: Students communicate orally and in writing in an appropriate manner both personally and professionally.
1. Read text and reference materials outside of class.
2. Observe examples and discusses questions and solutions in class.
3. Communicate solutions to statistical problems in writing on assignments, quizzes, exams, and course projects in appropriate statistical format.

General Course Objectives:  This “consumer-oriented” course is designed to cause students to learn basic concepts in descriptive and inferential statistics and introductory probability. Students demonstrate knowledge of these concepts by solving numerous assigned homework problems, and by providing written solutions to exam problems in accepted statistical format.

Content:           Introduction:     What is Statistics?

Descriptive Statistics

Ethics in Descriptive Statistics

Probability

Probability Distributions – Binomial

Normal Distribution

Interval Estimation

Sample Sizes

Hypothesis Testing

Linear Correlation and Regression

Multinomial Experiments and Contingency Tables

Analysis of Variance

Non-parametrics (if time permits)

Course Project

Grading:           90 % and above –        A

80-% and above    -     B

70% and above      -     C

60% and above  -         D

50% and below    -       F

Points accumulate from:

Collect Assignments, Quizzes, Exams, Projects and a Comprehensive Exam

Attendance:      Required.   Students are expected to be in attendance for all classes. If because of an emergency situation you need to be absent, please contact me at one of the numbers or emails listed above.

Students are responsible for all class notes, assignments, projects, quizzes and exams whether you are in class or not.

Cheating:          First offense – zero credit on pertinent work; Second offense – failure in the course.

ADA Statement:  If you are a person with a disability and require any auxiliary aids, services, or other accommodations for this class, please see me and Wayne Wojeiechowski, the Americans with Disabilities Act coordinator (MC320, 796-3085) within the first week to discuss you accommodation needs.

Textbook

Chapter 1         Introduction to Statistics

Chapter 2         Describing, Exploring and Comparing Data

Chapter 3         Probability

Chapter 4         Probability Distributions

Chapter 5         Normal Probability Distribution

Chapter 6         Estimates and Sample Size

Chapter 7         Hypothesis Testing

Chapter 8         Inference from Two Samples

Chapter 9         Correlation and Regression

Chapter 10       Multinomial Experiments and Contingency Tables

Chapter 11       Analysis of Variance