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Registration for the Fall 2019 semester begins June 25.  Watch your email for more details.

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Business Statistics

Course Code: BUSN 2429
Faculty: Commerce & Business Administration
Department: Business
Credits: 3.0
Semester: 15 Weeks X 4 Hours Per Week = 60 Hours
Learning Format: Lecture, Seminar
Typically Offered: TBD. Contact Department Chair for more info.
course overview

This course will provide students with an introduction to statistics. Students will learn to solve problems using computer spreadsheets. Topics include measures of central tendency and dispersion, probability, sampling, normal and binomial distributions, confidence intervals and hypothesis testing and regression analysis. Students will be required to have basic Excel skills.

Course Content

  1. Descriptive Statistics:  frequency distributions, graphical displays, measures of central tendency, measures of dispersion.
  2. Probability:  experiments, counting rules, assigning probabilities, events, complement, exclusion, intersection, union, addition law, conditional probability.
  3. Discrete Probability Distributions:  expected value and variance, binomial distribution.
  4. Continuous Probability Distributions:  uniform and normal probability distributions.
  5. Sampling Distributions:  random sampling, sampling distribution of sample mean and sample proportion.
  6. Interval Estimation:  means and proportions, small and large samples, determining sample size.
  7.  Hypothesis Testing:  formulating and testing a research hypothesis, I and II tailed tests about sample mean and proportion, Type I and II error.
  8. Statistical Inference with Two Populations (independent samples):  interval estimation and hypothesis tests for difference between two means and between two proportions.
  9. Computer Analysis with Excel Spreadsheets:  creation of spreadsheets, histograms, frequency tables, scatter charts, interval estimates, and use of probability distribution functions.
  10. Simple Linear Regression:  least squares, model and assumption, R-Squared, prediction.

Methods of Instruction

Lectures and seminars.

Means of Assessment

Final Exam           30%
Term Examinations (2-3) 40% - 50%
Computer Lab Test   5% - 10%
Assignments (6-12)  15% - 25%
Participation    0% -  5%
          100%

Note:  Students must achieve a grade of at least 50% on the combined examination components to pass the course.

Learning Outcomes

At the end of the course, the successful student should be able to:

  1. collect statistical data using appropriate sampling techniques;
  2. organize statistical data and calculate measures of central tendency and variation;
  3. calculate the probability of events when they are mutually exclusive, independent and dependent;
  4. use binomial and normal distribution to make probability estimates;
  5. set up confidence intervals for population means and proportions;
  6. use sample information to test statements or claims about parameters;
  7. use computer spreadsheets to solve statistical problems;
  8. use simple regression to determine significance of relationship between two variables.

course prerequisites

FINC 1231 or (Principles of Math 12 with a C or Pre-Calculus 12 with a C or equivalent) OR currently active in the:
PDD Supply Chain Management or
PBD International Supply Chain Management or
PDD Accounting Studies or
PDD Accounting or
PBD Accounting or
PDD Data Analytics or
PBD Computer and Information Systems

Corequisites

Nil

Equivalencies

Courses listed here are equivalent to this course and cannot be taken for further credit:

  • No equivalency courses

curriculum guidelines

Course Guidelines for previous years are viewable by selecting the version desired. If you took this course and do not see a listing for the starting semester/year of the course, consider the previous version as the applicable version.

course schedule and availability
course transferability

Below shows how this course and its credits transfer within the BC transfer system. 

A course is considered university-transferable (UT) if it transfers to at least one of the five research universities in British Columbia: University of British Columbia; University of British Columbia-Okanagan; Simon Fraser University; University of Victoria; and the University of Northern British Columbia.

For more information on transfer visit the BC Transfer Guide and BCCAT websites.

assessments

If your course prerequisites indicate that you need an assessment, please see our Assessment page for more information.