STAT 7055 - Course overview PDF

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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 Requisite and Incompatibility Co-taught Courses Course Convener Office: Phone: Email: Office hours: Research interests: Tutors Student Administrator Email:

In person Students can’t enroll in this course if enrolled in the Master of Statistics, Master of Actuarial Studies or Master of Actuarial Practice. STAT4055. Graduate students attend joint classes with undergraduate students but are assessed separately. Gen Nowak CBE Building (26C) Rm 3.66 +61 2 612 57294 [email protected] Please see the Wattle site. Statistical genetics, spatio-temporal data analysis, penalised regression. Please see the Wattle site. Maria Lander [email protected] SEMESTER 1 2018

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 1. Wattle quiz 2. Mid-semester exam 3. Final exam

Value Date 5% Week 5 or 6 30% Week 6 or 7 65% Examination period

Linked Learning Outcomes 1 through 4 1 through 5 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/

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 Rule before the commencement of their course. Other key policies include: • Student Assessment (Coursework) • Student Surveys and Evaluations

Resources Textbooks The recommended textbook for this course is Statistics for Management and Economics, 11th Edition, by Gerald Keller. A copy will be made available on reserve loan in Chifley library. For additional reference on some background mathematical knowledge, see chapters 1 to 6 of Basic Mathematics for Economists, 2nd Edition, by Mike Rosser. 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. Students are expected to check the Wattle site for announcements about this course, e.g., changes to timetables or notifications of cancellations.

Email Communication To safeguard student privacy, it is university policy that all email communication with students must be through their official ANU email account. Please make sure to use your ANU email account as I will not respond to emails sent from non-ANU email accounts.

COURSE SCHEDULE Week 1 2 3 4 5 6 7 8 9 10 11 12

Summary of Activities Descriptive statistics. Lecture. Probability. Lecture and tutorials. Discrete random variables. Lecture and tutorials. Continuous random variables. Lecture and tutorials. Sampling distributions. Lecture and tutorials. Estimation. Lecture and tutorials. Hypothesis testing. Lecture and tutorials. Comparing two populations. Lecture and tutorials. ANOVA and Chi-squared tests. Lecture and tutorials. Simple linear regression. Lecture and tutorials. Multiple linear regression. Lecture and tutorials. Review. Lecture and tutorials. Examination Period

Assessment

Wattle quiz

Final exam

Mid-semester exam

The course schedule above may be modified as we progress through the semester to allow us to take more or less time with different sections of the course as required.

ASSESSMENT REQUIREMENTS As an academic integrity control, students may be selected for a 15 minute individual oral examination of their written assessment submissions. Any student identified, either during the current semester or in retrospect, as having used ghost writing services will be investigated under the University’s Academic Misconduct Rule.

Assessment Tasks Assessment Task 1: Wattle quiz Details of task: An optional online Wattle quiz will be held during week 5 or 6. It may include material covered in weeks 1 to 4, inclusive. The quiz will be redeemable through the mid-semester exam. That is, if you perform better on the mid-semester exam than on the quiz, the quiz will be worth 0% and the mid-semester exam will be worth 35%. Otherwise, the quiz will be worth 5% and the mid-semester exam will be worth 30%. Since this quiz is redeemable and optional, no extensions will be offered and no deferred or make-up quizzes will be offered. Assessment Task 2: Mid-semester exam Details of task: The mid-semester exam will be held in week 6 or 7. It may include material covered in weeks 1 to 6, inclusive. Depending on how you perform on the quiz, the mid-semester exam will be worth either 30% or 35%. See the quiz details above. Assessment Task 3: Final exam Details of task: The final exam will be held during the university examination period at the end of the semester. It may include material from the entire semester. The final exam will be worth 65%.

Examinations Please note that the exact dates and locations for the mid-semester and final exams are centrally timetabled and will be made available during semester. Details regarding the permitted materials for the mid-semester and final exams 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.

PRIVACY NOTICE The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information. In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy. If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

TUTORIAL/SEMINAR REGISTRATION Tutorial signup for this course will be done via the Wattle website. Detailed information about signup times will be provided on Wattle or during your first lecture. When tutorials are available for enrolment, follow these steps: 1. Log on to Wattle, and go to the course site 2. Click on the link ‘Tutorial enrolment’ 3. On the right of the screen, click on the tab ‘Become Member of . . . .’ for the tutorial class you wish to enter 4. Confirm your choice If you need to change your enrolment, you will be able to do so by clicking on the tab ‘Leave group. . . .’ and then re-enrol in another group. You will not be able to enrol in groups that have reached their maximum number. Please note that enrolment in ISIS must be finalised for you to have access to Wattle.

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/...