MTHS 636
Statistics with Applications in the Natural and Social Sciences

James V. Frugale

Course Description

This course will include the following topics;
(a) Descriptive statistics, chapters 1-4
(b) Counting and elementary probability theory, chapters 5-9
(c) Inferential statistics chapters 10-17
We live in the data age and hence we encounter and are deluged by statistics, they occur in advertising, business, science, sports etc. Statistical theories are based in probability concepts.. Probability concepts are deductive and statistical concepts are inductive. Statistics is the science of gathering, organizing, presenting and interpreting data. A statistic is a number that characterizes a sequence of numbers (data).

The goals of this course are; (1) how to describe statistically using graphs and numbers a set of data. (2) How to perform and interpret the results of statistical tests. (3) How to make predictions using statistical methods (4) recognizing the necessary assumptions needed to perform the above 1,2,3
You may use any of the following devices to aide in computation: T.I.'s, SSPS, Statdisk(provided at my web site, Math 132), Excel, etc.

Course Requirements
(1) You will keep a loose leaf notebook consisting of the solutions to the assigned problems
(2) Midterm exam
(3) Final exam
(4) Grading 50% = Notebook + 25%=MIDTERM + 25%=FINAL EXAM