Download STAT101 Introductory Statistics - Singapore Management University

SCHOOL OF ECONOMICS, SINGAPORE MANAGEMENT UNIVERSITY
Academic Year 2011 – 2012, Term One
STAT101 on OLI: Introductory Statistics on OLI: Statistical Reasoning & Practice
Rosie Ching, [email protected], (65)68280587, Level 5, Room 5048, 90 Stamford Road, School of Economics,
Singapore Management University.
COURSE OVERVIEW
Both a science and an art, statistics is in our everyday lives, from economics to physics, accountancy to medicine, business
to technology, geography to law, social science to politics, a veritable, all-embracing giant. No discipline does well that
disavows it and eschews it. Though many occupations many not require specialized statistics degrees, they demand at least
a working knowledge of statistics and an able competency with statistical software and results management.
LEARNING OBJECTIVES
Visit http://oli.web.cmu.edu/openlearning/ and explore “Statistical Reasoning” for a preview. This course will run chiefly
on OLI, short for Carnegie Mellon University’s “Online Learning Initiative”, championed by the School of Information
Systems. This is the first OLI foray for the STAT101 course, where students will learn and practice their skills online, with
the instructor as a guiding force in running analyses by hand, through Excel all towards sound decision-making.
ASSESSMENT METHODS
The assessment in this course will be based on the following broad criteria, to be elaborated upon in due course.
Attendance & Class Participation:
Term Test:
10%
25%
Completion of materials and activities on time as outlined:
Final Paper:
25%
40%
ACADEMIC INTEGRITY (SMU Official Rules)
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.
CLASS TIMINGS
This course will run for twelve weekly sessions, each session lasting 195 minutes, with online problem-solving and offline
cases given by the instructor. Additional notes and resources will be posted online, so students are to download in advance
of each week’s class.
Mandatory equipment include a laptop with a working Internet connection, scientific calculator (graphical ones are
optional). It is also crucial to complete all prior online benchmarks at least three days before each weekly session. The
instructor will provide any notes deemed necessary, either online or off.
CORE TEXTS & SOFTWARE
No core text is necessary, but an Excel add-in "PHStat", named for "Prentice Hall" is highly recommended which this
course will use as a handy tool, not as an assessment. Get it from the CDROM in 1 below, also available at the library.
REFERENCES
For the willing:
1. "Introductory Statistics Guide Book" (Rosie Ching, Prentice-Hall, 2008) (CD-ROM, 9 chapters) Written for
students, this fully-printable guide abounds with by-hand working, screenshots, output interpretations, and a whole
gamut of examples. Detailed attention is paid to problem-busting methods, and step-wise PHStat routines.
2. "Statistics for Managers Using Microsoft Excel" by David M. Levine, David Stephan, Timothy C. Krehbiel & Mark
L. Berenson (Prentice-Hall, Global Edition, 2010). Rich in examples, exercises and case studies. Like 1 above,
PHStat receives extensive coverage.
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The SMU Li Ka Shing Library holds many statistics titles (Lind, Bowerman All titles and more (Bowerman, Doane, etc.)
available for borrowing. The "Introductory Statistics" student bundle and Levine are also sold at BookLink.
POLICY ON ATTENDANCE
Although online learning can be done anywhere, this maiden OLI foray requires a greater degree of guidance from the
instructor. Therefore your physical presence is required as in a laboratory computer session. Missing lessons means also
forfeiting opportunities to contribute to discussions and activities. As a result, every missed session, with the exception of
an "Excused Absence", erodes the class participation grade.
Excused Absence: an excused absence covered by any one of the following:
1. A medical certificate (M.C.) or a doctor’s letter
2. A letter from your school Dean or NS superior or parties relevant, for reasons of absence submitted to the
instructor before the missed class(es), stating clearly what will be missed. (test/quiz/class)
3. If absence for any assessments is a valid “Excused Absence”, the student is responsible for seeking the
instructor’s advice about the missed assessment percentage.
Unexcused Absence: Not an excused absence. “Unexcused Absences” receive zero for missed assessments.
COURSE SCHEDULE:
This is only a rough guide. The instructor will inform students well in advance of key dates.
Please visit http://oli.web.cmu.edu/openlearning/ to preview “Statistical Reasoning”.
Week
Date Material that needs to be covered by this date, exams and review sessions
Unit 1:
1
Introduction
Exploratory Data Analysis (EDA)
Introduction (EDA)
Module 1: Examining Distributions
One Categorical Variable
One Quantitative Variable
Graphs
Histogram
Stemplot
Numerical Measures
Measures of Centre
Measures of Spread
Boxplot
Standard Deviation
Wrap-up (Distributions) + StatTutor + My Response + Checkpoint + My Response
Summary (EDA)
2
Module 2: Examining Relationships
Role-Type Classification
Case C-Q
Case C-C
Case Q-Q
Scatterplot
Linear Relationships
Causation
Wrap-up (Relationships) + StatTutor + My Response + Checkpoint + My Response
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3
4
5
6
7
8
Unit 3: Probability
Module 5: Introduction (Probability)
Relative Frequency
Module 6: Random Variables
Discrete Random Variables
Continuous Random Variables
Probability Distributions
Normal Random Variables
Standard Normal Table
Applications
Wrap-up (Random Variables) + StatTutor + My Response + Checkpoint + My Response
Module 7: Sampling Distributions
Parameters vs. Statistics
Behaviour of Sample Proportion
Behaviour of Sample Mean
Wrap-up (Sampling Distributions) + StatTutor + My Response + Checkpoint + My Response
Summary (Probability)
Unit 4: Inference
Statistical Inference
Module 8: Introduction (Inference)
Inference for One Variable
Module 9: Estimation
Point Estimation
Interval Estimation
Confidence Interval for the Population Mean
Confidence Interval for the Population Proportion
Module 10: Hypothesis Testing
Overview
Hypothesis Testing for the Population Proportion
Hypothesis Testing for the Population Mean
Wrap-up (Hypothesis Testing) + StatTutor + My Response + Checkpoint + My Response
Inference for Relationships
Module 11: Case C-Q
Two Independent Samples
Matched Pairs
Conclusion of Case C-Q
Term Break (No Classes)
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9
Module 12: Case C-C and Q-Q
Case C-C
Case Q-Q
Summary (Inference)
Wrap-up (Inference for Relationships) + My Response + Checkpoint + My Response
10
Review
11
Review
12
Review
13
14
15
Catch-Up Week (Review)
Reading Week (No Classes)
FINAL EXAMINATION
FINAL WORDS
Torture numbers, and they'll confess to anything.
~ Gregg Easterbrook
Make the most of this course to get ahead in statistics, and you will reap a lot of respect for the knowledge that will stay
with you throughout your life. Bonne chance!
Yours sincerely, Rosie Ching
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