Description
This course covers data analysis, introduction to probability theory, some standard discrete and continuous distributions and their application to interval estimation and significance testing, computational aspects of statistics.
Prerequisites
- Prerequisite(s): restricted to students in the BIT degree program.
Conditions and arrangements
- Precludes additional credit for Precludes additional credit for BIT 2009 , DATA 1517 , ECON 2210 , ENST 2006 , GEOG 2006 , STAT 2507 , STAT 2606, STAT 3502 .
- Prerequisite(s): restricted to students in the BIT degree program.
- Lectures three hours a week, tutorial/laboratory one hour a week.
Reference text in its original language
This course covers data analysis, introduction to probability theory, some standard discrete and continuous distributions and their application to interval estimation and significance testing, computational aspects of statistics.
- Prerequisite(s): restricted to students in the BIT degree program.
- Precludes additional credit for Precludes additional credit for BIT 2009 , DATA 1517 , ECON 2210 , ENST 2006 , GEOG 2006 , STAT 2507 , STAT 2606, STAT 3502 .
- Lectures three hours a week, tutorial/laboratory one hour a week.
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/BIT/