Concordia University

GPLL38 - Getting Started with Statistics

Statistical analyses skills are a crucial part of every graduate student’s professional toolkit. Statistics are used in many fields to quantify results in order to make them easy to interpret and communicate. These skills are essential to critically evaluate academic articles and reports that you encounter in your own work.

This workshop will seek to provide a review of basic concepts in statistics (such as mean, mode, median, variance and standard deviation) that are useful to understand, critique and communicate data. Additionally, this workshop will include a discussion of what software or tool is most appropriate given the format or structure of your data.

The first part of the workshop will focus on estimating different measures and reporting them. The second part of the workshop will focus on sampling techniques and how sampling can influence the validity of your results. The third part of the workshop will include a brief discussion of various statistical software that are available and how to learn more about using them.

Learning Objectives

After attending this workshop, you will be able to:
1. Understand and distinguish between some basic statistical measures
2. Understand the influence of sampling techniques and sample size on statistical measures
3. Be able to read and interpret reported statistics
4. Assess what statistical platform to use depending on you data format

Leaders Information

This workshop is led by Tanya Singh.

Tanya is currently pursuing her PhD at the John Molson School of Business and studies consumer decision making under resource scarcity. She is a self-described foodie and amateur artist. Tanya enjoys teaching and communicating her work with peers and students alike. In her research, Tanya employs various sources of data to understand how consumers make decisions when faced with resource scarcity, during events like hurricane Katrina. Tanya obtained a Bachelor of Engineering degree (from India) and PhD in Evolutionary Genetics (from the University of Pennsylvania).


Section 2
November 5, 2019, 10:30 - 12:30, Tue

Disclaimer: Available spots is an estimation.
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