Download Qatar University College of Arts and Science Department of

Moh’d Alodat
Statistics I
Qatar University
College of Arts and Science
Department of Mathematics, Statistics and Physics
Syllabus for Stat. 101
Course Information
Course Name: Statistics I
Semester:
Fall 2011
Prerequisite: This course has no prerequisite
Credit Hours: 4 (3 hours of contact in classes)+ One hour for Lab.
Section Number: L51
Lecture Time:
Monday, Wednesday, 8:00- 9:15 (Classes)
Tuesday, 8:00-8:50
Classroom:
(Lab).
A212, Female Campus ( Classes)
A201, Female Campus (Lab).
Starting and Ending Classes: September, 25, 2011 and January, 05, 2012
Dates for Exams:
Mid-Term Exam,
October 19, 2011
Second Mid-Term Exam, December 21, 2011
Final Exam, TBA by the University
Course Description. Basic concepts, Types of data, Sampling methods, Tables and graphs.
Descriptive Statistics, Basic probability concepts, Random experiment. Sample spaces, Rules of
probability. Counting techniques. Conditional probability. Independence, Discrete and continuous
random variables. Sampling distributions, The Student-t distribution, F – distribution and ChiSquare distribution, Point estimation. Confidence intervals for a single population. Testing
hypotheses for a single population. Statistical software like Excel and Minitab will be used.
Textbook and References.
Textbook The textbook for this course is
Title: Introductory Statistics
Edition: 9th edition
Moh’d Alodat
Statistics I
Year:
2012
Author: Neil A. Weiss.
Publisher: Pearson Education Inc.
References:
1. Introduction to Probability and Statistics. W. Mendenhall, B. Beaver
and R. Beaver, 12th edition, 2005, Duxbury.
2. Introduction to Statistics. By R. D. Deaux and P. F. Velleman, 3rd
edition, 2008, Adison Welesy.
Instructor Information
Name: Moh‟d Alodat
Program: Statistics
Telephone and E-mail: Tel. 66526641,
E-Mail: [email protected]
Office: E205, Males Building, Art and science College.
Office Hours:
Day
Time
Place
Sunday
11:00- 12:00
A210, Female Campus
Monday
11:00- 12:00
A210, Female Campus
Wednesday
10:00-11:00
A210, Female Campus
Schedule of Classes
Week
1
2
3
4
5
6
Topics to be covered
Statistics, Population, Types of data, Sampling techniques
Tables and graphs Displaying quantitative data, Descriptive Statistics
Measure of central tendency, Measures of dispersion
Measures of relative standing, Z–scores, Percentiles and Quartiles,
BoxPlot
Random experiment, Sample space, Axioms of probability, Rules
of probability, Counting techniques
Conditional probability, Independence, The theorem of total probability,
Bayes’ Theorem.
Moh’d Alodat
Statistics I
Discrete and continuous random variables, Probability distributions
7
8
9
10
11
12
13
14
The Bernoulli, Binomial, and Poisson distributions.
The Normal distribution, The central limit theorem.
Sampling distributions of sample statistics, the mean, median, variance,
the Student-t distribution, F – distribution and Chi-Square
distribution.
Point estimation, Confidence intervals for a single population
(mean, proportion and variance)
Testing hypothesis, type 1 and type 2 errors, the power of a test
Testing hypotheses for a single population (mean, proportion and
variance
Large sample intervals and tests for population mean or
proportion.
Course Objectives. The aim of this course is to
1. Train the students on practicing 'statistical thinking' throughout their daily life.
2. Acquaint the students with the basic knowledge of statistics such as: Methods of
descriptive statistics, Sampling techniques, the basic concepts of probability,
Random variables and their probability distributions, Sampling distribution,
Methods of inferential statistics, Simple linear regression.
3. Train the students to use statistical packages and/or scientific calculators in practical
application s of statistics.
Learning Outcomes. At the end of this course students should be able to:
1. Use the „statistical thinking‟ in his daily life as needed.
2. Define „statistics‟, collect and organize data, describe data via descriptive measures,
calculate probability of events and the probability distribution of a discrete random
variable, find the sampling distribution, draw statistical inferences about mean and
proportion of a statistical population
3. Formulate and solve some basic inferential statistical problems.
4. Interpret the statistical results and conclusions
Moh’d Alodat
Statistics I
5. Use statistical packages and/or calculators to analyze data.
Matrix outcomes and objectives
Objective
Learning Outcome
Assessment Methods
Train the students on
practicing 'statistical
thinking' throughout their
daily life.
Acquaint the students with
the basic knowledge of
statistics such as: Methods
of descriptive statistics,
Sampling techniques, the
basic concepts of
probability, Random
variables and their
probability distributions,
Sampling distribution,
Methods of inferential
statistics, Simple linear
regression.
Use the „statistical
thinking‟ in his daily life as
needed.
1. Participation
2. Exams
3. Assignments
Train the students to use
statistical packages and/or
scientific calculators in
To define „statistics‟,
1. Assignments
collect and organize data,
2. Exams
describe data via
descriptive measures,
calculate probability of
events and the probability
distribution of a discrete
random variable, find the
sampling distribution, draw
statistical inferences about
mean and proportion of a
statistical population
To formulate and solve
some basic inferential
statistical problems
To interpret the statistical
results and conclusions
To use statistical packages
and/or calculators to
analyze data.
1. Assignments
2. Exam
practical applications of
statistics.
Learning Resources
1. The Text Book
2. Lecture Notes
3. Minitab Helps( Minitab is a Statistical Packages to be used in teaching the Lab of this
Course)
4. Material presented in the Bb
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Statistics I
Grading System
Your final grade will be calculated according to the equation:
Final Grade(FG)=Homewroks(15%)+Mid Term I (20%)+Mid Term II(20%)+
Final Exam(40%)+Participation (5%).
According to the grading system of Qatar university, a letter will be assigned to your
final grade according to the following grading system:
Percent Grading
90-100
85-89
80-84
75-79
70-74
65-69
60-64
0-59
A
B+
B
C+
C
D+
D
F
Scale
Letter Grade
Example. If your FG is 83, the letter B will be assigned to your grade.
Classroom Policies
1. No special treatment or project will be given to anyone
2. Always bring your book and scientific calculator to classroom. Scientific calculator are
very important to your exams.
3. Put your mobile phone in silent mode in both exams and classroom. Don‟t use your
mobile phone inside the class.
4. Don‟t talk during the lecture unless you are asked to during
6. don‟t leave lecture early
7. don‟t sleep, be prepared and attentive
8. Participate positively and constructively in class
9. Attendance of classes is mandatory
What Do You Expect From Me
1. To uphold the regulations of this syllabus
2. To follows the rules and instructions of Qatar
Moh’d Alodat
Statistics I
3. To be present, prepared and attentive during each class
4. To work hard to make this course enjoyable, informative, challenging and interesting
What I Expect From You
1. Take an active role in learning the material presented in classroom and lab.
2. Remember and understand the material best in exams and when solving
questions.
3. Read the chapters before classes
4. Ask me questions through my office hours
5. Follow the regulation and instruction in this syllabus and also the regulations of
Qatar university.
6. You should visit the Blackboard in a regular bases for more information, material and
Announcements.
7. Don‟t come late to the classroom or exams
9. When you miss a class, you are responsible for obtaining the information of that
class
Exams And Assignments
Exams:
1. No mathematical proofs or math derivations are in exams
2. I will not answer any question concerning the exams through the exam
time.
3. Don‟t talk to other students through the exam, I may interpret this as
cheating.
4. No make-up exams under any conditions
5. Instructor will notify the students by the day and the time of the exam via
the blackboard(Bb).
6. Final exam is comprehensive
Assignments:
1. Assignment should be typed using MS word. A Hard copy of the
assignment should be handed out to the instructor. I don‟t accept soft
copies of assignments.
2. The students should work on their assignments independently.
3. I don't accept assignments after its due date.
4. No exceptions will be granted for any student
Academic Honesty
Qatar University requires and expects the academic honesty from all members of its
community. Here are some example of academic dishonesty:
1. Cheating. Using an unauthorized material or even attempting to use it.
2. Plagiarism. Using the words of the others as if they were your own.
Moh’d Alodat
Statistics I
3. Multiple submission. Same assignments are submitted to two different courses
without taking the permission from the instructors.
4. Material Misuse. The abuse of an unauthorized material.
Plagiarism
Definition. Plagiarism is simply defined as “presentation of others' ideas as
your own, even if this occurs deliberately or by chance”
(Fowler, 1986).
Why You Should Avoid Plagiarism?
1. It is against the scientific thinking
2. It is a violation of Qatar University rules
3. It is against the mission of any educational process
How to avoid Plagiarism
1. Include any quoted material used in your work within
quotation marks.
2. Create a bibliography for all sources in your work
3. Be sure that all phrases and sentences are written in your
own language
Some Important Dates in QU Calendar
Date
September 25, 2011
September 29, 2011
October 06, 2011
October 30, 2011
November 06, 2011
November 10, 2011
November 13, 2011
November 24, 2011
December 01, 2011
December 08, 2011
December 18, 2011
December 22, 2011
January 05, 2012
January 08, 2012
January 19, 2012
January 29, 2012
Description
First day of classes for Fall 2011
End of the add and drop for Fall 2011
Last day to change an incomplete grade for Spring and Summer
2011
Start of application for admission, transfer and scholarship for
Spring (2012)
Start of Eid‟s Holidays
End of Eid‟s Holidays
Start of early registration for Spring 2012
Last day to withdraw from a course in Fall 2011
End of application for admission, transfer and scholarship for
Spring (2012)
Last day to withdraw from the semester Fall 2011
National holiday
End of application to register for classes in other universities
(spring 2012)
Last day of classes in Fall 2011
Start of final exams for Fall 2011
End of final exams for Fall 2011
Start of Mid Academic Year break
Moh’d Alodat
References
Statistics I
1. Fowler, H. R. (1986). The little brown handbook. 3rd edition, Boston Little Brown.