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STAT7055 Introductory Statistics for Business and Finance This course aims to facilitate an understanding of basic statistical techniques used for the analysis of financial and investment data. Mode of Delivery On campus Prerequisites NA

Incompatible Courses You are not able to enrol in this course if you have completed STAT1008 or STAT1003

Course Convener Gen Nowak Office Location: CBE Building (26C) Rm 3.66 Phone: +61 2 612 57294 Email: gen.nowak@anu.edu.au

Consultation hours: Please see the Wattle site.

Research interests: Statistical genetics, genomics, penalised regression

Tutors Please see the Wattle site.

Student Administrator Tracy Skinner Phone: +61 2 612 50487 Email: tracy.skinner@anu.edu.au

SEMESTER 1 2016

http://programsandcourses.anu.edu.au/course/STAT7055

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COURSE OVERVIEW Learning Outcomes Upon successful completion of the requirements for this course, students will be able to:

1. Explain and use basic financial statistical techniques and concepts; 2. Use a variety of statistical approaches to analyse financial and investment data; 3. Solve problems using the principles of probability; 4. Recognise and use different statistical distributions; 5. Perform calculations and interpret results of a variety of estimation techniques; 6. Conduct and explain the results of a hypothesis test; 7. Carry out and interpret an analysis of variance test and compare the difference

between two or more sets of data; 8. Apply and interpret regression models.

Assessment Summary

Assessment Task Value Date Linked Learning Outcomes

1. Mid-semester examination 35% (or 0% if not attempted or redeemed)

TBA 1 through 5.

2. Final examination 65% (or 100% if mid-semester examination not attempted or redeemed)

TBA 1 through 8.

Research-Led Teaching Statistics provides a way of analysing and understanding data and the variability present in data. Hence statistics is a necessary backbone for almost every area of research. This course will take examples from business, finance and science to introduce fundamental statistical concepts to prepare students for future courses and research projects. Feedback Staff Feedback Students will be given feedback (through both verbal and written comments) in the following forms in this course:

• To the whole class during lectures. • Within tutorials groups. • Individually during consultation hours.

Student Feedback ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. One of the key formal ways students have to provide feedback is through Student Experience of Learning Support (SELS) surveys. The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement.

For more information on student surveys at ANU and reports on the feedback provided on ANU courses, go to

http://unistats.anu.edu.au/surveys/selt/students/ and http://unistats.anu.edu.au/surveys/selt/results/learning/

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Policies ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. You can find the University’s education policies and an explanatory glossary at http://policies.anu.edu.au/

Students are expected to have read the Academic Misconduct Rules 2014 before the commencement of their course.

Other key policies include: • Student Assessment (Coursework) • Student Surveys and Evaluations

Resources Textbook The following textbook has been prescribed for this course:

• “Statistics for Management and Economics” 10th Edition, by Gerald Keller. All students are expected to have access to this textbook. A copy will be available on reserve loan in Chifley library.

Course URL All course materials, including lecture slides, lecture recordings, tutorial questions, tutorial solutions, etc., will be made available on the Wattle site (https://wattle.anu.edu.au). Communication Email If necessary, the lecturers and tutors for this course will contact students on their official ANU student email address.

Announcements Students are expected to check the Wattle site for announcements about this course, e.g., changes to timetables or notifications of cancellations. Notifications of emergency cancellations of lectures or tutorials will be posted on the door of the relevant room.

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COURSE SCHEDULE Week Summary of Activities Assessment 1 Introduction and descriptive statistics. Lecture. 2 Probability. Lecture and tutorials. 3 Random variables and discrete probability distributions.

Lecture and tutorials.

4 Continuous probability distributions. Lecture and tutorials. 5 Sampling and sampling distributions. Lecture and tutorials. 6 Introduction to estimation. Lecture and tutorials. 7 Hypothesis testing. Lecture and tutorials.

Mid-semester exam 8 Comparison of two populations. Lecture and tutorials. 9 Analysis of variance. Lecture and tutorials. 10 Chi-squared tests. Lecture and tutorials. 11 Simple linear regression. Lecture and tutorials. 12 Multiple linear regression. Lecture and tutorials. 13 Review Examination period ASSESSMENT REQUIREMENTS Examinations Mid-semester Examination

• The mid-semester exam is redeemable and will likely be held in week 7 or 8. It will contribute 35% (or 0% if not attempted or redeemed) to your final raw score. It may include material covered in weeks 1 to 6, inclusive.

Final Examination • The final exam will be held during the university examination period at the end of the

semester. It will contribute 65% (or 100% if mid-semester exam not attempted or redeemed) to your final raw score. It may include material from the entire semester.

Please note the following: • The exact dates and locations for the mid-semester and final examinations are

centrally timetabled and will be made available during semester. • Details regarding the permitted materials for the mid-semester and final examinations

will be publicised in class and on Wattle closer to the exam dates. Scaling Your final mark for the course will be based on the raw marks allocated for each of your assessment items. However, your final mark may not be the same number as produced by that formula, as marks may be scaled. Any scaling applied will preserve the rank order of raw marks (i.e., if your raw mark exceeds that of another student, then your scaled mark will exceed the scaled mark of that student), and may be either up or down.

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TUTORIAL AND/OR SEMINAR REGISTRATION Enrolment in tutorials will be completed online using the CBE Electronic Teaching Assistant (ETA). To enrol, follow these instructions:

1. Go to http://eta.fec.anu.edu.au 2. You will see the Student Login page. To log into the system, enter your University ID

(your student number) and password (your ISIS password) in the appropriate fields and hit the Login button.

3. Read any news items or announcements. 4. Select "Sign Up!" from the left-hand navigation bar. 5. Select your courses from the list. To select multiple courses, hold down the control

key. On PCs, this is the Ctrl key; on Macs, it is the key. Hold this key down while selecting courses with the mouse. Once courses are selected, hit the SUBMIT button.

6. A confirmation of class enrolments will be displayed. In addition, an email confirmation of class enrolments will be sent to your student account.

7. For security purposes, please ensure that you click the LOGOUT link on the confirmation page, or close the browser window when you have finished your selections.

8. If you experience any difficulties, please contact the School Office (see page 1 for contact details).

9. Students will have until 5pm February 25 to finalise their enrolment in tutorials. After this time, students will be unable to change their tutorial enrolment.

SUPPORT FOR STUDENTS The University offers a number of support services for students. Information on these is available online from http://students.anu.edu.au/studentlife/