Description
A data-driven approach to statistical modeling. Basics of experimental design, analysis of variance, simple linear regression and correlation, nonparametric procedures. A statistical software package will be used.
Prerequisites
- Prerequisite(s): STAT 2507 or STAT 2601 or STAT 2606 or STAT 3502 ; or permission of the School.
Conditions and arrangements
- Precludes additional credit for Precludes additional credit for DATA 1519 , ECON 2202, ECON 2220 (no longer offered), ECON 3210 , STAT 2602 , STAT 2607.
- Prerequisite(s): STAT 2507 or STAT 2601 or STAT 2606 or STAT 3502 ; or permission of the School.
- Lectures three hours a week, laboratory one hour a week.
Reference text in its original language
A data-driven approach to statistical modeling. Basics of experimental design, analysis of variance, simple linear regression and correlation, nonparametric procedures. A statistical software package will be used.
- Prerequisite(s): STAT 2507 or STAT 2601 or STAT 2606 or STAT 3502 ; or permission of the School.
- Precludes additional credit for Precludes additional credit for DATA 1519 , ECON 2202, ECON 2220 (no longer offered), ECON 3210 , STAT 2602 , STAT 2607.
- Lectures three hours a week, 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/STAT/