David Gurney
Assistant Professor of Mathematics

Course Information

The following information concerns courses that Dr. Gurney frequently teaches.


Math 241 Elementary Statistics

Course Description - This course will discuss the graphical display of data, measures of central tendency and variability, sampling theory, standard scores, correlation techniques and various probability distributions including the normal, Student t, and Chi-square.
Text -Allan G. Bluman, Elementary Statistics: A Step By Step Approach - A Brief Version, 8th edition, McGraw-Hill Education, New York, NY 2019.

Math 605 Applied Statistics

Course Description - Topics discussed in this course may include some or all of the following: exploratory analysis of data, sample design and experimental design, normal distributions, sampling distributions, quality control charts, confidence intervals and tests of hypotheses for one and two samples, inference for contingency tables, regression and correlation, and one-way analysis of variance. Statistical packages such as SPSS, Minitab, and SAS may be used.
Text - William Navidi, Principles of Statistics for Engineers and Scientists, 2nd edition, McGraw-Hill Education, New York, NY 2021
Additional Math 605 Info


David Gurney Home