Elms College
Elms College
Log in Sign up

Statistics for Management

RSM 1282
Closed
Main contact
University of Toronto
University of Toronto
Toronto, Ontario, Canada
Gerhard Trippen
Associate Professor, Teaching Stream
2
Timeline
  • November 9, 2020
    Experience start
  • November 12, 2020
    Project Scope preference selection
  • November 16, 2020
    Project scope assignment
  • December 2, 2020
    Experience end
Experience
2 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Data analysis Communications Market research
Skills
business analytics statistics data analysis research regression analysis
Learner goals and capabilities

Today’s managers need data to make effective decisions. However, in order to do that they need to understand what the numbers mean. Our students know how to extract meaningful information from data using statistical tools such as probability distributions, inference, correlation, and regression.

Our students seek to employ statistical models and methods to prepare and present number-driven business decisions to your company.

Building on what they have learned in earlier term as well, students will leverage their sophisticated understanding of what statistics can (and cannot) do to help your business.

Learners

Learners
Graduate
Any level
75 learners
Project
20 hours per learner
Learners self-assign
Teams of 5
Expected outcomes and deliverables

The central element of the work done for your company will be a statistical analysis to inform one of your business problems. Students will communicate their analysis in written form and verbally. As such, every group project has two deliverables:

  1. A written report
  2. A high-level findings presentation to your company
Project timeline
  • November 9, 2020
    Experience start
  • November 12, 2020
    Project Scope preference selection
  • November 16, 2020
    Project scope assignment
  • December 2, 2020
    Experience end

Project examples

Based on your company's needs, students will be able to employ any range of the following skills they have honed in:

  • Identify and formulate business problems where statistics can have an impact.
  • Separate what the data say and what the data mean through statistical analysis.
  • Moving effectively between business questions and statistical analysis: this includes identifying, designing, and executing the statistical analyses that are most appropriate to inform a business problem, correctly interpreting their results, and effectively communicating those results and their implications in writing and verbally.
  • Evaluate and interpret the mean, variance, standard deviation, and coefficient of variation of a sum of random variables.
  • Correctly design, execute, and interpret statistical analyses involving hypothesis testing, correlation analysis, and linear and logistic regression analysis for prescription and for prediction.
  • Proficiency in the use of the statistical analysis software package, StatTools.

Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Checkbox
  • Q2 - Checkbox
  • Q3 - Checkbox