Applied Statistics

Minor in Applied Statistics - 4 Units

The minor in applied statistics is open to students in all majors. It aims to give students a background in statistical methods that will sharpen their analytic skills and help them pursue careers in a number of quantitatively oriented areas. Fields such as quality and productivity, financial analysis, marketing research, demographics, and auditing are increasingly looking for people with understanding of statistical tools. Students considering pursuing graduate studies, whether in the social and natural sciences, business, education, or the humanities, will also find special value in the minor, as research methodologies increasingly utilize statistical techniques.

Required Courses
STAT 301QBusiness Statistics 11
STAT 440QForecasting1
or STAT 460Q Experimental Design and Advanced Data Analysis
Electives
Select two of the following:2
Survey Research Methods
Forecasting
Experimental Design and Advanced Data Analysis
Quality
Special Topics in Decision Science
Business Intelligence
Predictive Analytics
Social Media Analytics
Total Units4
1

Students majoring outside the School of Business Administration may be able to use the required introductory statistics course in their major to meet this prerequisite requirement. See Dr. John Rasp about this possibility.

STAT 201. Introduction to Business Statistics. 0.5 Units.

This class focuses on description statistics, including graphical methods, measures of central tendency and variation, probability and probability distributions, sampling distributions, and introduction correlation and regression. Students are introduced to various statistical computer applications. This course prepares students to take STAT 301Q. Prerequisite: BSAN 101.

STAT 285. Independent Study. 0.5 or 1 Units.

STAT 301Q. Business Statistics. 1 Unit.

A survey of statistical topics useful in support of managerial decision-making and focuses on estimation of parameters from one- and two normally distributed populations, statistical inference of one- and two-sample tests for means and proportions, the chi-square test, advanced regression and correlation analysis, and introduction to cluster and stratified sampling techniques. Computer applications are included. The course fosters application of knowledge to the contemporary business environment. Prerequisite: STAT 201 or MATH 125Q or BSAN 111.

STAT 382. Survey Research Methods. 1 Unit.

This course covers how to write and administer a good survey, and how to analyze and report on the resulting data. Sampling and non -sampling error. Questionnaire design and survey administration, with particular focus on potential problems that can bias survey results. Simple random, stratified, and cluster sampling. Emphasis is on practical application. Prerequisite: STAT 301Q or equivalent.

STAT 385. Independent Study. 0.5 or 1 Units.

STAT 390. Special Topics in Decision Science. 1 Unit.

STAT 440Q. Forecasting. 1 Unit.

This course focuses on statistical techniques useful in modeling and forecasting data, simple linear regression models, multiple regression, including model diagnostic procedures, and model selection and validation. Analysis of time series data, including Box-Jenkins techniques. Use of computer software packages in data analysis. Emphasis is on real-world applications. Prerequisite: STAT 301Q or equivalent, a Calculus course, or permission of instructor.

STAT 460Q. Experimental Design and Advanced Data Analysis. 1 Unit.

This course focuses on planning large-scale statistical studies and analyzing the resulting data. One- and two-sample hypothesis testing techniques, with special emphasis on underlying assumptions, nonparametric alternatives, and power analysis. Analysis of variance, including factorial experiments. Multivariate methods. Focus will be on analysis of large real-world data sets, using a major statistical software package. Prerequisite: STAT 301Q or equivalent, or permission of instructor.

STAT 482. Quality. 1 Unit.

This course presents the basic managerial and technical issues that are important to understand, implement and manage quality in business. Focus will be given to the global significance, strategic importance, and economic impacts of quality; various quality philosophies; employee involvement; statistical concepts relevant to designing quality in manufacturing and service organizations; process control for variable and attribute data; process capabilities; diagnosis and analysis of control charts. Case studies will be used. Prerequisite: STAT 301Q or equivalent.

STAT 485. Independent Study. 0.5 or 1 Units.

STAT 490. Special Topics in Decision Science. 1 Unit.

This course allows for in-depth study of a specialized area in statistics. Topics will vary with instructor and student interests. Prerequisite: STAT 301Q or permission of instructor.