Description
Introducing various software for analyzing neuroscience data. Dealing with real data, drawing graphs, application of descriptive and inferential statistics through the general linear model, assumptions of parametric tests, robust statistics, confidence intervals, correlations, use of appropriate statistical methods and interpretation of results.
Prerequisites
- Prerequisite(s): PSYC 2001 and PSYC 2002 , or NEUR 2001 and NEUR 2002 .
Conditions and arrangements
- Prerequisite(s): PSYC 2001 and PSYC 2002 , or NEUR 2001 and NEUR 2002 .
- Lectures three hours a week, online labs/workshops.
Reference text in its original language
Introducing various software for analyzing neuroscience data. Dealing with real data, drawing graphs, application of descriptive and inferential statistics through the general linear model, assumptions of parametric tests, robust statistics, confidence intervals, correlations, use of appropriate statistical methods and interpretation of results.
- Prerequisite(s): PSYC 2001 and PSYC 2002 , or NEUR 2001 and NEUR 2002 .
- Lectures three hours a week, online labs/workshops.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/NEUR/