Skip to main content

Business Statistics OPMT 1130

Operations Management Part-time Studies Course

Course details

Includes descriptive statistics, including numerical and graphical presentation of data, measures of central tendency, dispersion and elementary probabilities. Introduction to several discrete and continuous probability distributions . Introduction to inferential statistics through selected topics such as sampling, confidence limits of the mean, hypotheses testing, simple linear regression and the chi-squared test for independence.

Prerequisite(s)

  • No prerequisites are required for this course.

Credits

5.5

Not offered this term
This course is not offered this term through BCIT Part-time Studies. Please check back next term or subscribe to receive email updates.

Learning Outcomes

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

  • Discuss the value of statistical information in a variety of business disciplines and work environments.
  • Assess statistical information portrayed in the media, work and educational environments.
  • Organize and analyze quantitative data.
  • Calculate descriptive statistics measures such as the mean, weighted mean, median, mode, standard deviation, coefficient of variation and variance.
  • Use graphical techniques to present data in such a manner that it is understood by and meaningful to colleagues and clients.
  • Analyze data presented in frequency distributions, histograms and boxplots.
  • Apply the common rules of probability to evaluate business alternatives.
  • Analyze and calculate probabilities for Binomial, Poisson, Uniform and Exponential probability distributions.
  • Calculate expected values and standard deviations for random variables.
  • Construct and interpret a confidence interval estimate for a single population mean using both the standard normal and t distributions.
  • Establish and interpret a confidence interval estimate for a single population proportion.
  • Determine the required sample size for estimating a single population mean or proportion.
  • Carry out an appropriate hypothesis test on a single population mean or proportion.
  • Interpret the p-value of the test statistic.
  • Carry out a hypothesis test comparing two population means or proportions.
  • Construct a contingency table and perform a chi squared test of independence.
  • Analyze simple two-variable problems using linear regression and correlation.
  • Interpret the results of a computer generated regression model and ANOVA table.

Effective as of Winter 2020

Related Programs

Business Statistics (OPMT 1130) is offered as a part of the following programs:

School of Business + Media

  1. Accounting
    Diploma Full-time
  2. Business Information Technology Management (Artificial Intelligence Management Option)
    Diploma Full-time
  3. Business Information Technology Management (Enterprise Systems Management Option)
    Diploma Full-time
  4. Business Management
    Diploma Full-time
  5. Business Operations Management
    Diploma Full-time
  6. Finance
    Diploma Full-time
  7. Financial Planning
    Diploma Full-time
  8. General Insurance and Risk Management
    Diploma Full-time
  9. Global Trade and Transportation Management
    Diploma Full-time
  10. Human Resource Management
    Diploma Full-time
  11. Marketing Management
    Diploma Full-time
  12. Marketing Management (Entrepreneurship Option)
    Diploma Full-time
  13. Marketing Management (Marketing Communications Option)
    Diploma Full-time
  14. Marketing Management (Professional Real Estate Option)
    Diploma Full-time
  15. Marketing Management (Professional Sales Option)
    Diploma Full-time
  16. Marketing Management (Tourism Management Option)
    Diploma Full-time

Subscribe

Interested in being notified about future offerings of Business Statistics (OPMT 1130)? If so, fill out the information below and we'll notify you by email when courses for each new term are displayed here.

  • Privacy Notice: The information you provide will be used to respond your request for BCIT course information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5A 3H2, email: privacy@bcit.ca.