MAT 131   Elementary Statistics      

Welcome to the Oakton Community College MAT 131 course home page. Here you will find information shared by all sections of the course. In the frame to the left there are a number of useful links including the textbook web site, if there is one, and the generic course syllabus.  Further down this frame there are links to individual instructors' resources for their specific sections.  

Prerequisites
MAT 053 or geometry proficiency; and MAT 120 or the equivalent with a grade of C or better, or an appropriate score on the Mathematics Assessment Test.

Course Description
This course is an introduction to modern statistics for students in physical, biological and social sciences. Frequency distributions, measures of central tendency and variation, elements of probability theory, statistical inference, sampling techniques and correlation and regression are studied.

Course Objectives

A. Compute the measures of central tendency and dispersion.
B. Construct, do calculations with, and graph frequency distribution.
C. Understand and calculate probabilities.
D. Understand probability distributions, including binomial distribution.
E. Compute probabilities as related to normal distributions.
F. Apply the Central Limit Theorem.
G. Understand the nature of hypothesis testing and estimation.
H. Draw statistical inferences about one population concerning the mean, the standard deviation or variance, and proportions.
I. Draw statistical inferences about two populations concerning the mean, the standard deviation or variance, and proportions.
J. Calculate the linear correlation coefficients and the regression lines.
K. Draw statistical inferences concerning multinomial experiments and contingency tables.

Instructional Materials

Required Textbook: Elementary Statistics by Mario F. Triola, Custom Edition (taken from 5th and 9th Edition). Pearson Addison Wesley, 2004.

A TI-83 or higher numbered graphing calculator will be used for instructional purposes.


Send corrections and comments to pboisver@oakton.edu.