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.
- No prerequisites are required for this course.
- 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.
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
Business Statistics (OPMT 1130) is offered as a part of the following programs:
School of Business + Media
- Business Information Technology Management (Artificial Intelligence Management Option)
- Business Information Technology Management (Enterprise Systems Management Option)
- Business Management
- Business Operations Management
- Financial Planning
- General Insurance and Risk Management
- Global Trade and Transportation Management
- Human Resource Management
- Marketing Management
- Marketing Management (Entrepreneurship Option)
- Marketing Management (Marketing Communications Option)
- Marketing Management (Professional Real Estate Option)
- Marketing Management (Professional Sales Option)
- Marketing Management (Tourism Management Option)
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Programs and courses are subject to change without notice.