10x Course Info 2019 PDF

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Course Information Course Administrators: David Smith

Rhys Jones

Help Available Resource material:

Email:

[email protected]

Phone: Office:

(09) 923 5390 Room 314A, Level 3, Building 303, Science Centre

Email:

[email protected]

Phone:

(09) 923 5126

Office:

Room 316, Level 3, Building 303, Science Centre

Christine Miller

Email:

[email protected]

(limited availability)

Phone:

(09) 923 4275

Office:

Room 322, Level 3, Building 303, Science Centre

See David, Rhys (or Christine) if you:  think we have recorded your marks incorrectly

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Lecture Workbook Canvas resources

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Student Response System (via web-enabled devices). Scientific calculator (with a statistical mode) e.g. Jastek‐CS1,Casio fx-9750G Plus, Casio fx-82AU Plus, Casio fx – 82MS, Casio fx – 82TL, Sharp EL 531RH etc. You may use graphics calculators in tests/exams.

Tutorials (non-compulsory) 

Tutorials provide a second chance to review the basics. (Recommended for students who find

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the lectures too fast or difficult.) Tutorial exercises are at the end of each chapter in this lecture workbook. Model answers are provided in Section D of this lecture workbook.

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Times and rooms will be announced in lectures and posted on Canvas. No need to sign up, just turn up.

Assistance Room 

 have an issue with the way your assignment has been marked  need an assignment extension due to medical or similar reasons

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 are unable to sit the mid semester test  have been away due to illness  wish to discuss privately any impairment related requirements face-to-face and/or in written form  need to change your course 

need help with late enrolment issues

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have feedback about the assistance room, tutorials or computer lab

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Help with any aspect of the course (including assignments) with which you are having difficulty. Tutoring is generally on a one-to-one basis but when the room is very busy, tutors will try to help several students with similar problems at the same time. Tutors are not permitted to give you assignment answers. They are only allowed to help you to work them out for yourself. Tutors are only permitted to help you with an assignment problem if you have read the relevant section of the lecture workbook. Otherwise, they are only allowed to tell you which section you should read. The assistance room is located in Room 170, level 1, Building 302, Science Centre. Exact times announced in lectures and posted on Canvas but are roughly from 9am – 4pm Monday to Friday during the semester. The room will also be staffed for some hours during study breaks.

If you cannot find David, Rhys or Christine, you can leave a message at the Department of Statistics office. Room 203, Building 303 (Science Centre).

Course Information

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Lecturer Office Hours 

Assessment

Times and locations will be announced in lectures and posted on Canvas. Your Final Mark is calculated as:

Computer Labs

Final Mark = Assignments and Quizzes (30%) + Mid semester test (20%) + Exam (50%) or

= Assignments and Quizzes (30%) + Mid semester test (10%) + Exam (60%)

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Help with using the computers and assignments. Opening hours are posted on Canvas.

WHICHEVER IS HIGHER!

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Room B91 Basement, Building 303S

Note: 

A minimum of 45% in the exam is necessary to pass the course (in addition to a minimum overall mark of 50%).

Statistics Tuākana is a learning community for Māori and Pacific students in STATS 101/101G/108.

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The contributions from Assignments and Quizzes ALWAYS COUNT.

We offer tutorials, individual and small group tutoring, test/exam prep sessions, and drop-in times. For more information about Statistics Tuākana please contact either:

Grades

Māori and Pacific Students

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Susan Wingfield ([email protected]) or Heti Afimeimounga ([email protected])

Canvas: https://canvas.auckland.ac.nz On Canvas you will find:

To pass the course you need to achieve both a minimum of 45% in the exam and a minimum overall mark of 50%.

Mid-Semester Test and Examination

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Notices Our record of your course marks

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Dates and times are announced in class and posted on Canvas. Both are 100% multiple choice.

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Assignments and their answers (posted when marked assignments have been returned) Recorded lectures Lecture notes with gaps and filled-in lecture notes

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The questions and format will be similar to past mid-semester tests and examinations. Detailed information will be posted on Canvas. You must bring your student ID card to the mid-semester test and examination.

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Excel, SPSS and iNZightVIT tutorials Previous tests and exams (with answers)

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A series of worked examples based on previous assignment questions Test and exam information (posted at the relevant times)

Course Information

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Assignments    

Print your three assignments off from Canvas. Due dates, times and presentation requirements are on the first page of the assignments. Any assignments received after the due time on the due date will not be marked! Assignment questions are similar to the Worked Examples on Canvas.

Where to hand in:  Assignment Drop-off boxes are located in Room G038, Building 301. The boxes are accessed from the covered plaza walkway and are near the Student Resource Centre.  Always be careful to put your assignment into the correct drop-off box. Where to collect marked assignments:  From the counter of the Student Resource Centre in Room G038, Building 301. You will need to show your student ID card.  Assignments are usually returned within 2 weeks of the due date and model answers are posted on Canvas.

Assignment Rules: Working together versus cheating The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting his or her learning. For further details see www.auckland.ac.nz/en/about/the-university/how-university-works/policy-and-administration/teaching-andlearning/students.html

We view cheating on assignment work as seriously as cheating in an examination! You are encouraged to work together on assignments, but you must not copy another person’s assignment. Generally acceptable forms of working together:  Getting help in understanding from staff and tutors.  Discussing assignments and methods of solution with other students. Generally unacceptable forms of working together (“cheating”):  Copying all or part of another student’s assignment, or allowing someone else to do all or part of your assignment for you.  Allowing another student to copy all or part of your assignment, or doing all or part of an assignment for somebody else. This is treated as seriously as copying another student’s assignment. The Department has a number of ways of dealing with students caught cheating:  The student’s name will be entered on the university-wide Register of Academic Misconduct.  Loss of all marks for the assignment.  Loss of additional coursework marks.  Referral of the student(s) involved to the University Discipline Committee which may impose a reprimand, fine or expulsion from the University. If you are in any doubt about the permissible degree of working together, then please discuss it with a staff member.

Course Information

Using This Lecture Workbook  The lecture workbook is not designed as a stand-alone set of notes – it needs to be used in conjunction with the lectures.  The white pages are interactive lecture notes with gaps for you to fill in. These are designed to be done in lectures. You can download filled-in versions of these from Canvas.  The blue pages include notes for each chapter along with challenge questions, sample exam/test questions and a tutorial on the chapter.

Tips On How To Pass This Paper  For every hour of lectures, you should be putting in at least another hour reviewing the material.  If you miss a lecture then you need to catch it up as soon as possible. You can use the recorded lectures and filled-in lecture notes and get help from tutors or lecturers.  If you are struggling with any of the material in the course then make good use of the optional tutorials and the assistance room or see your lecturer.  The assignments are not designed to be done in a couple of hours on the day they are due. Make sure you attempt the questions soon after the relevant material is covered. This is especially important for assignment 3.  There are worked examples of assignment type questions. These are a valuable resource when doing your assignments.  When you get your marked assignment back, review it with the model answers to learn from your mistakes.  There are five previous tests and exams with answers available on Canvas. Make sure you use these in your preparation. You should practise previous questions and review your notes to help understand why you made any mistakes.  Overall, the easiest way to pass a paper is to work hard at it!

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Course Outline Chapter 1:

Exploring Data Exploratory data analysis: sources of data, types of data, data organisation, types of variables, types of plots, types of numerical summaries, feature spotting, describing and comparing variables, graphical techniques with software. Proportional reasoning: estimates, likely outcomes, conditional situations, independence, relative risk, two-way tables of counts, notation, plots.

Chapter 2:

Observational Studies and Experiments observational studies, experiments, experimental design.

Chapter 3:

Randomisation Tests with Experiments randomisation tests for medians, means, proportions, differences between medians, differences between means, differences between proportions.

Chapter 4:

Polls and Surveys polls and surveys, random sampling.

Chapter 5:

Bootstrap Confidence Intervals bootstrap confidence intervals for medians, means, proportions, differences between medians, differences between means, differences between proportions.

Chapter 6:

Confidence Intervals (Normality-based) confidence intervals for means, proportions, differences between means, differences between proportions.

Chapter 7:

Hypothesis Testing fundamental approach to hypothesis testing, randomisation tests, t-tests.

Chapter 8:

Data on Numeric Variables using SPSS: t-tests for a mean and a difference between 2 means, paired comparisons, one-way analysis of variance.

Chapter 9:

Data on Categorical Variables Chi-square test for two-way tables of counts.

Chapter 10: Relationships between Quantitative Variables: Regression and Correlation regression, the least-squares regression line, sample correlation coefficient, simple linear model, prediction and confidence intervals, inference about the slope and intercept.

Course Information

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WHY STATISTICS? Finance Companies Actuarial Analyst

Government Departments

Banks

Teaching

Careers in Statistics Statistics is used in many fields and graduates work in many areas Scientific Research

Crown Research Institutes

AgResearch

Universities

MAFTech

Pharmaceutical Companies

Ecology & Conservation Majoring in Statistics. Statistics can be taken as a major in either a Bachelor of Science or a Bachelor of Arts. Statistics can also be studied as part of most other degrees. A major in Statistics can be used to support many other subjects, helping to create graduates with skills that are more desirable to future employers. Statistics adds value to other majors. Statistics combines well with Mathematics, Operations Research, Computer Science, Physics, Psychology, Environmental Science, Biological Science, Marine Science, Medical Science, Sport Science, Finance, Market Research, Economics, Operations Management, Sociology, Geography and is useful in all other fields.

Course Information

Statistics New Zealand

Statistical Consulting

Insurance Companies

Course Information

Operations Research

Quality Control

Social Research

Data Science Treasury

Manufacturing

Market Research

Bioinformatics

Medical Statistics Forensics

Fisheries

Even taking just one or two additional statistics papers can help future-proof your degree. Many former students realise too late that they need more statistics knowledge in their chosen occupation. For more information about planning a degree involving Statistics go to: http://www.stat.auckland.ac.nz/courses/

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