COR-STAT1202 Raymond TEO PDF

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Description of the course - introductory statistics with professor Teo....

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School of Economics Academic Year 2021-22 Term 1

COR-STAT1202 INTRODUCTORY STATISTICS Instructor Name : Dr. Raymond Teo Email : [email protected] Office : Adjunct faculty room

COURSE DESCRIPTION Statistics is a discipline with extensive applicability in business, finance, economics, law, management and other fields in the social sciences. Introductory Statistics provides students with a good grasp of statistical concepts and equips them with quantitative skills to examine data and make correct inferences from it. The focus on this course is on the correct interpretation of results and appropriate approach to statistical problems. The analytical skills students will develop from this course will provide the foundation for other courses in SMU. LEARNING OBJECTIVES By the end of this course, students will be able to: • Apply various methods to explain, summarise and present data, and interpret results • Understand the ideas of randomness and variability and the ways these link to probability theory and a collection of statistical techniques • Understand probability theories and other statistical methods • Understand the concept of estimation of population parameters such as means and proportion • Undertake various kinds of hypotheses tests that involves one and two samples • Understand the concept of correlation and regression and its relation to statistical modeling PRE-REQUISITE/CO-REQUISITE/MUTUALLY EXCLUSIVE COURSE(S) Please use the class search function at OASIS > Study > BOSS > BOSS Bidding (Plan & Bid page > Add to Cart and Perform Course Search) or the course catalogue in OASIS to check the most updated attributes of this course. ASSESSMENT METHODS Class Participation Midterm Assessment Statistics project (report and presentation) Peer Evaluation (for statistics project) Final Examination TOTAL

: : : : : :

10% (individual) 30% (individual) 15% (group) 5% (individual) 40% (individual) 100%

ACADEMIC INTEGRITY All acts of academic dishonesty (including, but not limited to, plagiarism, cheating, fabrication, facilitation of acts of academic dishonesty by others, unauthorized possession of exam questions, or tampering with the academic work of other students) are serious offences. All work (whether oral or written) submitted for purposes of assessment must be the student’s own work. Penalties for violation of the policy range from zero marks for the component assessment to expulsion, depending on the nature of the offense. When in doubt, students should consult the instructors of the course. Details on the SMU Code of Academic Integrity may be accessed at http://www.smuscd.org/resources.html.

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COPYRIGHT NOTICE Please note that the course materials are meant for personal use only, namely, for the purposes of teaching, studying and research. You are strictly not permitted to make copies of or print additional copies or distribute such copies of the course materials or any parts thereof, for commercial gain or exchange. For the full copyright notice, please visit: https://smu.sg/Copyright-notice or OASIS > Campus Life & Exchange > Conduct & Discipline > University Council of Student Conduct. ACCESSIBILITY SMU strives to make learning experiences accessible for all. If students anticipate or experience physical or academic barriers due to disability, please let the instructor know immediately. Students are also welcome to contact the university's disability services team if they have questions or concerns about academic provisions: [email protected]. Please be aware that the accessible tables in the seminar room should remain available for students who require them. EMERGENCY PREPAREDNESS FOR TEACHING AND LEARNING (EPTL) Where there is an emergency that makes it infeasible to have classes on campus, classes will be conducted online via WebEx, with no disruption to the schedule. To familiarise students with the WebEx platform, part of this course may be conducted online. The instructor will inform students of which classes, if any, will be conducted as part of this EPTL initiative. INSTRUCTIONAL METHODS AND EXPECTATIONS Class Participation Participation is a central part of the learning process in this course. Through active discussion, students will be able to benefit most from the thoughts and experience of the instructor. Students should also bear in mind that there is a participation weightage in this course. This participation component is made up of attendance and active discussion in class. Groupings for Project Students are expected to form groups for their statistics project. Students should find your own group members and send the names to my teaching assistant (TA). Should they encounter difficulties forming groups, my TA will provide assistance. Group Project and Presentation Details of the project will be provided in class. In addition to a weightage of 15% given to this component, students should note that active and valuable contribution to the team can gain for themselves additional marks of up to 5% (peer evaluation component). Students are required to submit their reports by the due date. It is expected that students take precautions by backing up their files regularly to avoid unforeseen mishaps that may happen. Mid-Term and Final Assessments These assessments will take the form of a closed book written paper that assesses students on the various concepts taught. The format of the assessment will be made known to students in class. Students who read the assigned materials, attend class sessions and work at practice questions can expect to do well in the assessment. All assessments for the module is closed-book. Calculators Do note that programmable calculators are not allowed in assessments. Students are expected to bring a scientific calculator to class and during assessments. Emergency Preparedness for Teaching and Learning (EPTL) As part of SMU’s preparation to cope with teaching and learning during periods of emergencies, a relatively independent topic in statistics will be selected for delivery through an e-learning approach. Students will be viewing a video on the topic and will be subjected to the same level of rigor in assessment as with other topics delivered through traditional face-to-face instructional methods.

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CLASS TIMINGS Classes are once per week, each lasting 3 hours. A typical class session will include a presentation and illustration of concepts as well as group discussions. RECOMMENDED TEXT AND READINGS The course adopts the text, Newbold P., W.L. Carlson and B.M. Thorne ‘Statistics for Business and Economics’ 8th Edition (Pearson). In addition students should note that the course will use the statistical tables by Lindley, D.V. and Scott, W.F. (Cambridge, Cambridge University Press), particularly the sections of the normal distribution (pp. 34–35) and student t-distribution (pp. 45).

SOFTWARE REQUIREMENTS Microsoft Excel (Add-in Analysis ToolPak) will be the software used for the course. Students will install this software on their own in their own computers. The instructor will demonstrate the use of this software in class. Students are also expected to use this software for their project.

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WEEKLY LESSON PLAN Session

Topic

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Introduction and nature of statistics

2

Data presentation, including measures of location and spread (including grouped data)

3

Probability

4

Discrete probability distributions

5

Continuous probability distributions and ideas of sampling

6

Estimation

Chapter 1 and Section 6.1 Sections 1.3, 1.5, 2.1, 2.3 Sections 3.1–3.3, 3,5 Sections 4.1, 4.3

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Mid Term Assessment

8

Recess Week

9

Reading

Hypothesis testing (one-sample tests)

Sections 5.1-5.3, 6.1, 6.2 Sections 7.1-7.3, 8.1-8.4

Sections 9.1-9.4

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EPTL Week (e-Learning) (Details of e-Learning to be made known in due course) Sections 10.1Hypothesis testing (two sample tests for both paired and 10.3 unpaired samples) Sections 1.6, 2.4, Correlation and regression 11.1-11.3, 14.6

13

Group project presentation

10 11

14

Revision Week

15

Final Examination

4...