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G0135 Course Outline

The document outlines a course on Probability and Statistics in Real Life, taught by Dr. Lim Min, covering topics from data exploration to probability distributions. Students will learn to apply statistical concepts and tools, assessed through quizzes, an assignment using R, and a final examination. Key references include 'Statistics: The Art and Science of Learning from Data' and other supporting texts.

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Rayyana Rofifah
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29 views3 pages

G0135 Course Outline

The document outlines a course on Probability and Statistics in Real Life, taught by Dr. Lim Min, covering topics from data exploration to probability distributions. Students will learn to apply statistical concepts and tools, assessed through quizzes, an assignment using R, and a final examination. Key references include 'Statistics: The Art and Science of Learning from Data' and other supporting texts.

Uploaded by

Rayyana Rofifah
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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PROBABILITY AND STATISTICS IN REAL LIFE

Course Code: G0135 Credits: 3


Semester: February 2023

Staff Teaching the Module: Dr. Lim Min


Email: limmin@xmu.edu.my
Office: A4#457
Office Hours: Monday 10:00AM – 12:00PM
Thursday 10:00AM – 12:00PM

Summary of Content:
Chapter 1: Statistics: The Art and Science of Learning from Data
Chapter 2: Exploring Data with Graphs and Numerical Summaries
Chapter 3: Association: Contingency, Correlation, and Regression
Chapter 4: Gathering Data
Chapter 5: Probability in Our Daily Lives
Chapter 6: Probability Distributions
Chapter 7: Sampling Distributions

Learning Outcomes:
Upon completion of the course, students should be able to

1. Apply the concepts and theories in probability and statistics.


2. Identify the right tools to explore a given data set.

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Methods of Assessment:
Quizzes 40%
Assignment 20%
Final Examination 40%

Quizzes: There are 4 take-home quizzes. Quizzes will be made available


on Moodle every Monday except for the first Monday after the
lecture at 3:00 PM. You have until 11:00 AM the next day to
submit your quiz. The quiz is open book but no sharing is
allowed.
Assignment: You will use R to analyse some data. The due date is on page 3.
A description of the assignment will be posted on Moodle.
Final: 2 hours exam, to be scheduled by the exam office.
Apparatus allowed: Scientific Calculator.
Additional Materials: Statistical Tables.

References:
o Main reference supporting the course:
 Agresti, A., Franklin, C., Klingenbery, B., Statistics: The Art and Science
of Learning from Data, 4th Edition, Pearson, 2018.

o Additional references supporting the course:


 Reihart, A., Statistics Done Wrong, No Starch Press, 2015.
 DeGroot, M. H., Schervish, M. J., Probability and Statistics, 4th Edition,
Addison-Wiley, 2012.

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Weekly Schedule: (subject to change)
Week 1 6-Feb 7-Feb 8-Feb 9-Feb 10-Feb
Public Intro
Chap 1
Holiday Chap 1
Week 2 13-Feb 14-Feb 15-Feb 16-Feb 17-Feb
Chap 2
Chap 2 Chap 2
Quiz 1
Week 3 20-Feb 21-Feb 22-Feb 23-Feb 24-Feb
Chap 3
Chap 3 Chap 4
Quiz 2
Week 4 27-Feb 28-Feb 1-Mar 2-Mar 3-Mar
Chap 4 Chap 4 Chap 5
Quiz 3 Chap 5 Assign
Week 5 6-Mar 7-Mar 8-Mar 9-Mar 10-Mar
Chap 5
Chap 6 Chap 6 Chap 7 Revision
Quiz 4

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