# STATS 101 Introduction to Statistics

* Choose Course Year:

Course Year: 2013

Points: 15

Restrictions: STATS 101, 102, 107, 191.

Stats 101G: You cannot take this course for General Education if you have a prior or concurrent enrolment in any of the following subjects: COMPSCI, ENGGEN, ENGSCI, INFOSYS, MATHS, PSYCH or STATS.

Credit: Final Exam = 60%; Test = 20%; Assignment = 20%
or Final Exam = 70%; Test = 10%; Assignment = 20%.
Must obtain at least 50% overall and at least 45% in final exam alone to pass.

Textbooks: Wild & Seber "Chance Encounters: A First Course in Data Analysis and Inference".
Other materials produced by the Department will be available from the Student Resource Centre.
A calculator which can automatically compute means and standard deviations.

For Advice: David Smith (ext. 85390), Joss Cumming (ext. 85756), Christine Miller (ext. 84275), Marie Fitch (ext. 84047), Ross Parsonage (ext. 89623)

Taught: Second Semester City, First Semester City, Summer School City

Website: STATS 101 website

This course is intended for anyone who will ever have to collect or make sense of data, either in their career or private life. The steps involved in conducting a statistical investigation are studied with the main emphasis being on data analysis and the background concepts necessary for successfully analysing data, extrapolating from patterns in data to more generally applicable conclusions (statistical inference), and communicating results to others. Technical topics discussed include: types of investigations; data collection; tools for exploring and summarising data; probability and distributions; tools for extrapolating from data (includes confidence intervals to convey uncertainty, statistical significance, t-tests, and p-values); nonparametric methods; analysing relationships (includes comparing groups and one-way analysis of variance, simple linear regression, correlation, tables of counts and the chi-square test).

The Department tries to make Statistics come alive by:

• showing videos that show statistics at work in the real world
• using class experiments to illustrate concepts
• using small groups to brainstorm ideas or get the answers to exercises
• using computer demonstrations to clarify ideas, and
• choosing enthusiastic lecturers who want to see students do well.

In fact if your idea of fun is copying formulae off blackboards you probably won't like our courses!
If you think Statistics 10x sounds good but you have always been a bit worried about Maths we offer a variety of help services.