Dates:

Workshop: Update and review your statistical concepts!

If you are a master's or doctoral student and you need to use statistics as part of your research project but you notice that your knowledge of statistics is insufficient or dates back too long, the office of statistical consultation is very pleased to offer you a new statistics refresher workshop.

The workshop is offered in small, restricted groups (maximum 10 people) to allow individualized support. The objective of this 10-hour workshop is to offer accelerated training to allow you to acquire a solid foundation of the most important statistical concepts in an engineering research project and to familiarize yourself with the use of statistical software.

Objective: to become familiar with the basic notions essential to undertaking a research project, as well as the use of statistical software.

Target audience: students who need statistics as part of their research project and who have not taken statistics courses in their career or for whom these notions go back a long way.

Duration: 10 hours at a rate of 2 hours per week

Costs: $500 per student.

Number of participants per group: between 5 and 10 (restricted groups to allow individualized support for participants).

• The group in French: Mondays from 6 p.m. to 8 p.m. from March 4, 2024 until April 1, 2024

• The group in English: Wednesday from 5:30 p.m. to 7:30 p.m. from March 6, 2024 until April 3, 2024

Part one: what to do before proceeding with data analysis

• Planning the research steps
• Methodological choices (experimental plan, sampling method, sample size, etc.)
• Database organization
• Introduction to using statistical software - Statgraphics
• Complete portrait of our data: frequency tables, graphs and descriptive statistics
• Detection and processing of extreme data and missing data
• Verifications of the conditions of application of future analyzes (normality, symmetry, stability of variance, etc.)

Second part: we analyze the data, present and interpret the results

• General portrait of the different statistical approaches (contexts of use of statistical analyzes – when to do what)
• Concept of p‐value
• Some very useful statistical analyzes in engineering. For each of these analyses, assumptions to verify, use of StatGraphics to carry out the analysis, understand and interpret the results obtained by the software.

Les dates ne vous conviennent pas?

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Précédentes éditions:

• bcs@etsmtl.ca