Description
Introduction to solving problems using descriptive and inferential statistical methods. Graphical and numerical tools to describe distributions. Probability, sampling and estimates, and hypothesis testing. Fundamentals of spatial statistics and analysis.
Conditions and arrangements
- Also listed as GEOG 2006 .
- 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 2210 , NEUR 2002 , PSCI 2702 , STAT 2507 , STAT 2601 , STAT 2606.
- Lectures two hours a week, laboratory two hours a week.
Reference text in its original language
Introduction to solving problems using descriptive and inferential statistical methods. Graphical and numerical tools to describe distributions. Probability, sampling and estimates, and hypothesis testing. Fundamentals of spatial statistics and analysis.
- Also listed as GEOG 2006 .
- 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 2210 , NEUR 2002 , PSCI 2702 , STAT 2507 , STAT 2601 , STAT 2606.
- Lectures two hours a week, laboratory two hours 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/ENST/