Stat 315 syllabus

Applied Probability and Statistics

Bulletin Description:   Concepts of probability theory, discrete and continuous probability distributions including gamma, beta, exponential and Weibull, descriptive statistics, sampling estimation, confidence intervals, testing of hypothesis, ANOVA and multiple comparisons, linear and multiple regression, correlation, non parametric analysis, contingency table analysis, computer assisted data analysis using appropriate statistical software.

Prerequisite:  MA125

Note:  This 3 credit hours course is intended for students in Engineering, Computer Science, and Mathematics. Credit for only one of ST 210 and ST 315 is allowed.

Text:  Probability and Statistics for Engineers, 5th edition, by Scheaffer, Mulekar and McClave, published by 

Cengage, ISBN:978-1-305-75139-2.

 Learning Objectives:   This course is intended to help undergraduate students from Engineering, Computer Science and Mathematics background to be able to understand the basic probability and statistical concepts of many of the issues encountered in their major field of study. The development of topics is intended to emphasize the intuitive logic and assumptions that underlie the techniques covered, the purposes for which these techniques are designed, and valid interpretations of obtained results.


Chapter 1    1.5 weeks

Chapter 2    1.0 week

Chapter 3    0.5 week

Chapter 4    1.0 week

Chapter 5    1.5 weeks

Chapter 6    1.5 weeks

Chapter 8    0.5 week

Chapter 9    1.5 weeks

Chapter 10  2.0 weeks

Chapter 11  1.0 week

Chapter 12  1.0 week

Time allotments are approximate and do not include exams.


Last Updated November 18, 2015