STATS 101, STATS 101G, STATS 108 Introduction to Statistics
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Introduction to Statistics/Whakataki ki nga Tatauranga
STATS 101, STATS 101G, STATS 108 (15 points)
Taught: Summer School, Semester One, Semester Two, City.
Assessment: Final exam 50%; test 20%; assignments & quizzes 30% or Final exam 60%; assignment & quizzes 30%; test 10% . Must obtain at least 50% overall and at least 45% in final exam to pass.
Course materials and textbook: Materials produced by the department will be available from ubiq and on Canvas.
For advice: David Smith ([email protected]), Joss Cumming
([email protected]), Marie Fitch ([email protected]), Emma Lehrke
Restrictions: You can choose only one course from STATS 101 - STATS 108 or STATS 191.
The STATS 101/108 courses are intended for anyone who will have to collect or make sense of data, either in their career or private life. These courses cover some material similar to NCEA statistics but at a higher level. More advanced material is also covered.
The courses 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 and answer exercises
• Using computer demonstrations to clarify ideas
• Choosing enthusiastic lecturers who want to assist students to do well Using web-enabled devices as “clickers” for student interaction
In fact if your idea of fun is copying formulae off whiteboards you probably won’t like our 10x courses! If you think STATS 101/108 sounds good but you have always been a bit worried about maths, we offer a variety of help services.
We try to make our courses easier by:
• Running voluntary tutorials for people who need extra help or whose skills are a bit rusty
• Staffing an “Assistance Area” that is open over 35 hours per week to assist you with any problems STATS 101 and STATS 108 are very similar. You may choose only one of them.
Choosing your STATS 101/108 course: The course you should apply for depends upon the degree in which you are enrolling. Pick the course to enrol in by using the following table (timetable constraints may necessitate other choices).
BCom, BProp, BPlan, BArch: BSc, BA and all other degrees:
Course
STATS 108
STATS 101
Topics covered in STATS 101/108: 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; proportions; tools for extrapolating from data (includes confidence intervals to convey uncertainty, randomisation tests, statistical significance, t-tests, and P-values); analysing relationships (includes comparing groups and one-way analysis of variance, simple linear regression, correlation, tables of counts and the chi-square test).
STATS 101G: Provision for STATS 101G (General Education) students has been made within each STATS 101 and STATS 108 stream giving students who want to study Statistics for General Education the greatest possible timetabling flexibility.
Disclaimer: Although every reasonable effort is made to ensure accuracy, the information in this document is provided as a general guide only for students and is subject to alteration. All students enrolling at the University of Auckland must consult its official document, the University of Auckland Calendar, to ensure that they are aware of and comply with all regulations, requirements and policies.
Goals of the Course: The purpose of this course is to provide students with an introduction to statistical investigation and analysis.
Learning Outcomes:
By the end of the course the student should be able to:
1. Identify the main components of a statistical investigation.
2. Identify the characteristics of well-designed studies, critique strengths and weaknesses of study designs and data collections.
3. Use appropriate tools for exploratory data analysis .
4. Form and communicate conclusions from basic exploratory analysis.
5. Apply basic concepts of proportions .
6. Apply the basic concepts of statistical inference and choose appropriate inferential tools .
7. Form and communicate the results of statistical analysis output.
2022-07-19