Description
Introduction to statistical computing, descriptive statistics, probability concepts, interval estimation and hypothesis testing, categorical data analysis. Introduction to simple regression, multiple regression, and time series. Emphasis on the development of an ability to interpret results of statistical analyses with applications from business.
Prerequisites
- Prerequisite(s): MATH 1009 . Restricted to B.Com. and B.I.B students.
Conditions and arrangements
- Precludes additional credit for Precludes additional credit for BIT 2000 , BIT 2009 , BIT 2100 (no longer offered), BIT 2300 (no longer offered), DATA 1517 , ECON 2201 (no longer offered), ECON 2210 , ENST 2006 , GEOG 2006 , STAT 2507 , STAT 2606 (no longer offered) and STAT 3502 .
- Prerequisite(s): MATH 1009 . Restricted to B.Com. and B.I.B students.
- Lectures three hours a week and laboratory one hour a week.
Reference text in its original language
Introduction to statistical computing, descriptive statistics, probability concepts, interval estimation and hypothesis testing, categorical data analysis. Introduction to simple regression, multiple regression, and time series. Emphasis on the development of an ability to interpret results of statistical analyses with applications from business.
- Prerequisite(s): MATH 1009 . Restricted to B.Com. and B.I.B students.
- Precludes additional credit for Precludes additional credit for BIT 2000 , BIT 2009 , BIT 2100 (no longer offered), BIT 2300 (no longer offered), DATA 1517 , ECON 2201 (no longer offered), ECON 2210 , ENST 2006 , GEOG 2006 , STAT 2507 , STAT 2606 (no longer offered) and STAT 3502 .
- Lectures three hours a week and 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/