SULTAN QABOOS UNIVERSITY
COURSE OUTLINE
PROGRAM:B.Sc in Statistics
1.
Course Code
STAT2101
2.
Course Title
Introduction to Statistics
3.
Credits
4.
Pre-requisite Course(s)
5.
Co-requisite Course(s)
6.
Equivalent Course(s)
7.
Incompatible Course(s)
8.
Course Category
Credits: 4
Workload: 11 hours (5 contact hours in classroom and 6 hours self-study)
University Requirement
University Elective
College Requirement
College Elective
Department Requirement
Department Elective
Specialization Requirement
SpecializationElective
Other (specify):
9.
College: Science
Course Owner
10. Course Type
11. Language of Instruction
Department:STATISTICS
Lecture
Lecture/Lab
Lecture/Seminar
Lecture/Studio
Lecture/Tutorial
Lecture/Lab/Tutorial or Seminar
Tutorial
Laboratory (Practical)
Field or Work Placement
Studio
Seminar
Internship
Workshop
Project
English
12. Course Description
This is an introductory course in Statistics. The topics to be covered include:basic concepts of descriptive statistics, graphical
representation of data, probability, statistical inference, point and interval estimation, hypothesis testing, regression and
correlation analysis
13. Teaching/Learning Strategies
Problem solving and practice examples/exercises
Lab session with Minitab
Provide guidance and support to help student learning
Peer Tutoring
Cooperative learning
Organize formative and summative assessment
Analyze students performance and provide feedback
14. Assessment Components and Weight [%]
Quizzes10%
Practical10%
Homework assignments5%
Project
In-term examination(s)25%
Final examination50%
Other (specify): MID TEST on
19-3-2020
4-6pm
15. Grading Method
A-F Scale
Pass/Not passed
Page | 1
16. Textbook(s) and Supplemental Material
Elementary Statistics: A step by step approach, A brief version
Author: Allen G. Bluman, Publisher McGraw Hill, tenth edition (2017)
17. Matching Course Objectives with Program Outcomes and SQU Graduate Attributes
SQU Graduate Attributes
A. SQU graduates should be able to:
1. apply the knowledge and skills
relevant to the specialization
2. communicate effectively and use
information and communication
technologies
3. critically
analyze
complex
information and present it in simple
clear manner
#
1.
2.
3.
B. SQU graduates possess
1. interpersonal communication skills and
alignment with culture of international
labour market to assist them in practical
life and in living successfully
2. skills and motivation for independent
learning and engagement in lifelong
learning and research
3. work ethics and positive values, and
intellectual independence and autonomy
4. teamwork skills and display potential
leadership qualities
Intended Student Learning Outcome
/Course Learning Objective
Identify between sample and population, types of
data and level of measurements, sources of data and
methods of sampling
Describe the quariles, percentiles and the five
number summary in EDA
Identify discrete and continuous random variables
and find probabilities of binomial distribution
5.
find point and interval estimate of population mean
and proportion, compute the required sample size
Modelling real data with simple linear regression,
and compute the predicted value
6.
Compute the correlation coefficient and test its
significance,provide comments
4.
7.
8.
9.
10.
11.
Calculate and Interpret summary statistics for
grouped and ungrouped data. Use Chebyshev's
theorem
Compute area under normal curve and make normal
approximation to binomial,
Use a statistical package to perform calculations and
interpret its outputs
Understand and Apply the central limit theorem to
approximate probabilities
Understand and Test hypothesis about means and
proportions, draw conclusions
C. SQU graduates should
relishgoodcitizenship
qualities, be conscious of
their national identity
and
be
socially
responsible, engage in
community affairs and
be
mindful
of
contemporary issues.
Relevant Program Outcome(s)
Applicable
Attribute(s)
The ability to extract information from data
A1
The ability to identify, formulate and solve
statistical problems.
The ability to select and apply the
appropriate statistical procedure for a given
data
knowledge of the statistical methods
commonly used in practice
Possess the ability to document the results
of a statistical study in both technical and
non-technical terms
The ability to select and apply the
appropriate statistical procedure for a given
problem
The ability to select and apply the
appropriate statistical procedure for a given
problem
The ability to identify, formulate and solve
statistical problems.
The recognition of the need for selfimprovement, and to seek more knowledge
and skills in statistics
knowledge of the statistical methods
commonly used in practice
The ability to select and apply the
appropriate statistical procedure for a given
data
A1, A3
A1, A3
A1, A3, B2
A2, B2
A1, A3
A1, A3, B2
A1, A3
B2, A3
A1, A3, B2
A1, A3
12.
13.
14.
15.
16.
17.
18.
19.
Page | 2
20.
16. Student Responsibilities
It is the student’s responsibility to know and comply with all University Academic Regulations relevant to participation in
this course. These regulations specifically include attendance requirement and students` academic code of conduct.
For attendance, it is the student’s responsibility to be punctual and to attend all classes.
Students are expected to perform their work with honesty and avoid any academic misconduct, which is defined as the use
of any dishonest or deceitful means to gain some academic advantage or benefit. This can take many forms, including but
not limited to, the following: copying, plagiarism, collusion and forging documents. For full details, please refer to the
Undergraduate Academic Regulations and to the Student Academic Misconduct Policy.
Additionally, this course requires that you:
Students should be aware of and abide by all University Regulations.
• Missing Quizzes and tests: There will be no makeup quizzes or tests. Those who will miss the quizzes or tests without
a valid reason will be graded as zero. If the student has an acceptable excuse, the Final Mark will be the percentage
scored out of the components attended. However, a makeup can be considered under some specific cases. The genuine
document of reason for absence must be submitted to the instructor
within one week of occurrence of such event.
• Attendance: Attendance is compulsory. A student missing 10% of the total allocated course hours will be sent a warning
notice and a student missing more than 20% may (in accordance with the University Rules) be barred from taking the
final exam.
• Office Hours: The office hours of the course will be fixed by the instructors. However, students may also see the course
instructors by prior appointment.
• Academic Dishonesty: All forms of academic dishonesty are prohibited and penalties are decided depending on the
department/university rules and regulations in force. Academic dishonesty includes (but not limited to) cheating,
plagiarism, copying, collusion, falsification, signing for someone else’s …etc. For more details, please see the latest
edition
of SQU Undergraduate Academic Regulations
Page | 3
COURSE INFORMATION
Course Code
Semester/ Year
Day, Time, and Place
STAT2101
SPRING 2020
Course Coordinator
Office Location
Office Tel. Ext.
Dr. Muhammad Idrees Ahmed
0205
Office Hours
Email
Course Title
Section(s)
Introduction to Statistics
7
idrees@squ.edu.om
Tentative Schedule
Week
1
Lecture #
Chapter 1
2
Chapter 2
3
Chapter 3
4
Chapter 3
Chapter 4
5
Chapter4
6
Chapter 4
Chapter5
7
Chapter5
8
Chapter 6
9
Chapter6
10
Chapter 7
Topic/Material to be covered
1-1 Descriptive and Inferential Statistics
1-2 Variables and Types of data
1-3 Data Collection and Sampling Techniques
2-1 Organizing Data
Ex. 7, 13,17
2-2 Histograms, Frequency Polygons and Ogives
Ex.. 15, 19
2-3 Other types of graphs
Ex. 7, 11
3-1 Measure of central Tendancy
Ex. 3, 13, 25
3-2 Measure of Variation
Ex. 11, 19, 31
3-3 Measure of Position
Ex. 9, 15, 17
3-4 Exploratory Data Analysis
Ex. 3, 11, 15
4-1 Sample Spaces and Probability
Ex. 9, 13,15
4-2 The Addition Rules for Probability
Ex. 11, 15,19
4-3 The multiplication Rules and conditional Probability
Ex. 27, 33, 35
4-4 Counting Rules
Ex. 3, 5, 9, 37
4-5 Probability and Counting Rules
Ex. 5, 7, 11, 15
5-1 Probability Distributions
Ex. 15, 21, 25
5-2 Mean, Variance, standad deviation, Expectation
Ex. 3, 5, 7, 11, 13
5-3 The Binomial Distribution
Ex. 5, 11, 13, 19, 23
6-1 Normal Distribution
Ex. 15, 21, 27, 31
6-2 Applications of the Normal Distribution
Ex. 3, 7, 11, 13, 17
6-3 The central Limit Theorem\
Ex. 9, 11, 15,23
6-4 The Normal Approximation to Binomial
Ex. 3, 7, 9, 11.
7-1 Confidence interval for mean when sigma known
Ex. 9, 11, 15, 21
Assessment
QUIZ#1
QUIZ#2
MID up to 6.1 on
19/3/2020
4-6 pm
Page | 4
11
Chapter 7
Chapter 8
12
Chapter 8
13
Chapter8
Chapter
10
14
15
16
17
Chapter
10
7-2 Confidence interval for the mean when sigma unknown
Ex. 7, 11, 17
7-3 Confidence interval and sample size for Proportions
Ex. 3, 9, 11, 17
8-1 Steps in Hypothesis Testing
Ex. 13
8-2 Z Test for Mean
Ex. 5, 9, 17,21
8-3 T-Test for Mean
Ex. 7, 13, 17
8-4 Z-Test for Proportion
Ex. 5,9,15,17
10-1 Scatter Plots and Correlation
Ex. 13, 15
10-2 Regression
Ex. 15, 23
10-3 Coefficient of Determination and Standard Error of the Estimates
Ex. 15, 21
Review
QUIZ#3
HW+QUIZ
Page | 5
APPENDIX A: INSTRUCTORS OF MULTIPLE SECTIONS
Section
Instructor
Day, Time,
and Place
10
Dr Hussam Sadique
SUN, TUE,
8/D8; Mon
14.15/Lab-B
20
Dr Shajahan
30
Dr Muhammad Idrees
Ahmed
SUN.THU/10/D
8; MOM/16/B
TUE.THU/8/D8
WED/14.15/B
40
Dr Shajahan
50
Mr Mubarak Al-Shekaili
60
Dr Hussam Sadique
70
Dr Moza Al Belushi
Office
Location
and
Extension
Email
h.sadig@squ.edu.om
0205
ext: 2240
Office Hours
SUN&TUE(both)
9.40-1040
14.15-15.15
THU:10-12
MON.WED14.1
5/D8;
TUE/10/B
MON.WEN/12/
D8;TUE/16/B
SU.TUE/12/D8/
WED/16/B
SU.TUES/14/D
8;Mon/10/B
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APPENDIX B: ADDITIONAL INFORMATION
Page | 7