S 101/108 WORKSHOP
STUDENT LEARNING CENTRE
3rd Floor Information Commons
STATS 101/108 WORKSHOP
SATURDAY 3: CHAPTERS 7 AND 8
SATURDAY 24 APRIL, 2010
Students MUST REGISTER for all workshops with The Student Learning Centre, 3rd Floor, Information Commons
? Student Learning Centre
1
The University of Auckland
STUDENT LEARNING CENTRE
3rd Floor Information Commons
Student Learning Centre
Topics we teach and can provide advice on include:
Essay writing Computer skills Reading and notetaking Memory and concentration Report writing Test and examination skills Thesis and dissertation writing Tutorial skills Research skills Time and stress management Mathematics Statistics Oral presentation and seminar skills Language learning Specific learning disabilities Motivation and goal setting Survival skills (in the University system)
Programmes within SLC include:
Te Puni Wananga Maori university tutors committed to enhancing Maori students' success
Fale Pasifika Pacific Island tutors committed to enhancing success for Pacific Island students
Language Exchange (LEX) Learn a new language, make a new friend
English Conversation Groups Improve English, develop critical thinking, and express ideas and opinions
? Student Learning Centre
2
The University of Auckland
STUDENT LEARNING CENTRE
3rd Floor
Information Commons
Statistical help available at the SLC
The Student Learning Centre (SLC) offers help for STATS 101/108 by offering: ? one-on-one tutoring help, and ? a number of workshops
One-on-one help
The SLC employs tutors specifically to help students with one-on-one assistance for STATS 101/108. One-on-one tutoring must be booked at SLC reception on the third floor of the Information Commons in person or by calling 373-7599 X 88850. Enquire at the SLC reception for available times.
Note: SLC tutors are not allowed to help students complete their assignments.
SLC STATS 101/108 Workshops
Any questions regarding STATS 101/108 workshops should be forwarded to: Leila Boyle SLC Statistics Co-ordinator l.boyle@auckland.ac.nz
Workshops are run in a relaxed environment, typically set at a pace for those students that find the Statistics Department's tutorials too fast. All workshops allow plenty of time for questions. In fact, this is encouraged
1)Saturday Workshops
These five 3-hour workshops are held on Saturdays throughout the semester to help students with different sections of the course.
2)Computer Workshops: Excel / SPSS
These three computer-based workshops introduce students to the skills needed for Excel and SPSS (PASW) use in STATS 101/108 assignments.
3)Pre-test Workshops
These three workshops will cover the basics that you need for the test.
4)Pre-exam Workshops
These six workshops will cover the basics that you need for the exam.
? Student Learning Centre
3
The University of Auckland
STUDENT LEARNING CENTRE
3rd Floor
Information Commons
Note: All workshops concentrate on questions reviewing the basic concepts, rather than questions on finer details. They are designed to assist students to achieve a pass; they are not designed to cover all material.
The timetable for these workshops is available with this handout. Please enrol in each of your preferred classes at the Student Learning Centre by:
o Going to the SLC in person
o Enrolling online at slc.auckland.ac.nz (click on "SLC Workshops" then click on "Undergraduate Workshops" then view workshops by "Statistics").
Useful Websites
? SLC webpage: slc.auckland.ac.nz
? Online enrolment through the SLC site: slc.auckland.ac.nz, click on "SLC Workshops" and then click on "Undergraduate Workshops"
o For STATS 101/108 workshops, view by "Statistics"
o For SLC workshops aimed at helping students learn basic computing skills (e.g. Excel, Word, PowerPoint), view by "Computer skills"
o For other SLC workshops on skills appropriate for undergraduate students, scroll down the page or view by the appropriate category
? Cecil:
? Leila's website for STATS 101/108 SLC workshop handouts &
information:
stat.auckland.ac.nz/~leila
? Student Learning Centre
4
The University of Auckland
REVISION NOTES ? CHAPTER 7
2010
Revision Notes
Chapter 7 ? Sampling Distributions of Estimates
Look at blue pages for good notes, 26 statements (2 of which are false!) and test/exam questions for practice
? Statistics is concerned with finding out about the real world and aspects of it specific to our area of interest. Statistical tools allow us to deal with the uncertainty inherent in all samples due to sampling variation because we are unable to survey the entire population of interest because it is too large.
? In most organisations, surveying of the entire population is prohibited by:
budget constraints
time limits
logistical barriers
? Accordingly, because we cannot survey the entire population of interest, we are unable to establish the PARAMETERS of interest within the population, such as: Mean, ? Standard deviation,
? Therefore, the parameter of interest is an unknown numerical characteristic for a population of interest.
? To estimate this unknown numerical characteristic for our population of interest we take a sample and find a sample estimate from it. ESTIMATES of the unknown parameters of interest are calculated from a SAMPLE taken from the population, to make statistical inferences about our population of interest. The sample equivalents of the above parameters are: Sample mean, x Sample standard deviation, sd(x) or n-1 or s
? ^HATS or BARS are used to distinguish between sample estimates and population parameters.
? Random variables X1, X2, ... Xn, form a random sample from a distribution if: they all have the same distribution; and they are independent of one another.
? Student Learning Centre
5
The University of Auckland
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