Course Syllabus



Course Description:

[INSTRUCTORS: We have included the descriptor for Statistics here as a place holder.  This material is related to Introductory Business Statistics, an OpenStax textbook designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. 

As with all sections, feel free to keep this information, replace it with your local course description, or remove this section entirely.]

Teaches the collection and presentation of data; measures of central tendency, dispersion, probability, sampling distributions, statistical inference, regression correlation, index numbers, time series analysis, and forecasting. Excel will be introduced for some statistical tests.


Student Learning Outcomes:

[INSTRUCTORS: We have included sample student outcomes here as a place holder. As with all sections, feel free to keep this information, replace it with your local student learning outcomes, or remove this section entirely.]

Upon successful completion of the course, students will be able to:

  • Apply fundamental statistical concepts and a wide variety of statistical methods to businesses.
  • Analyze statistical information for businesses, organizing, managing and presenting the data.

Course Content:

[INSTRUCTORS: Insert course content.]

  • Describing data-measures of central tendency 
  • Measures of dispersion and skewness 
  • A survey of probability concepts 
  • The normal probability distribution 
  • Sampling methods and sampling distributions 
  • Discrete probability distributions 
  • Tests of hypotheses: large samples 
  • Tests of hypotheses: proportions 
  • Simple regression analysis 
  • Simple correlation analysis 
  • Multiple regression analysis


Great newsyour textbook for this class is available for free online!
Introductory Business Statistics from OpenStax, ISBN 

You have options to obtain this book:


Important Notes:

  • Any student needing accommodations should inform the instructor. Students with disabilities who may need accommodations for this class are encouraged to notify the instructor and contact the Disability Resource Center (DRC) [link to your college's DSPS website] early in the quarter so that reasonable accommodations may be implemented as soon as possible. All information will remain confidential.
  • Academic dishonesty and plagiarism will result in a failing grade on the assignment. Using someone else's ideas or phrasing and representing those ideas or phrasing as our own, either on purpose or through carelessness, is a serious offense known as plagiarism. "Ideas or phrasing" includes written or spoken material, from whole papers and paragraphs to sentences, and, indeed, phrases but it also includes statistics, lab results, art work, etc.  Please see the YourCollegeName handbook for policies regarding plagiarism, harassment, etc. [link to your college's academic honesty policies]

Course Summary:

Date Details Due