Business Statistics Course Outline

If you have taken a statistics course in the past you may find some of the topics in this course familiar.

Business statistics course outline. Course description this course introduces the fundamentals of statistics as applied to the various areas of business and administration. This course supports the following goals of the math department. And it is required for many degrees in business the sciences and the social sciences.

8 27 2012 3 25 17 am. Semester description semester fall year 2019 course schedule monday tuesday time 09 30 11 00 a m. Statistics is a course that is designed to give you the basic tools of collecting analyzing presenting and interpreting data.

This course introduces core business statistics and fundamental aspects of decision making. This course introduces students to basic statistical concepts and methods that are widely used in economics finance accountancy marketing and more generally business. Krehbiel timothy c basic business th statistics.

Modelling and analysis is frequently placed within a business context with roughly equal emphasis on theory and its application. Students will be provided with the theoretical concepts tools and methods of statistics as well as the opportunity to work through example problems. Emphasis is placed on applying statistical methods to draw inferences from sample data as an aid to informed decision making.

Course outline week topic lesson specific learning objectives strategies reference john buglear stats means business a guide to business statistics. It examines aspects of business and marketing with regards to basic statistical analysis. These decisions are an effort to shape the future of the organization.

Business statistics title course outline doc id f 8 3 c date of issue 16 09 2019 revision no. Engage students in sound mathematical thinking and reasoning. Topics covered include techniques of descriptive statistics basic theory of probability and probability distributions estimation and hypotheses testing chi square tests in contingency table analysis and for goodness of pm t and linear regression and correlation.