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Second Semester Philadelphia University Department of Basic Sciences and Mathematics Course Syllabus 2019/2020 Course Information Course Title Elementary Probability & Statistics Course Code 250231 Course Level 1st year level Course Pre-Request None Credit Hours 3 Lecture Time Section [1] STT 09:10 - 10:00 in ROOM 6805 Academic Staff Specifics Lecturer Feras Awad Mahmoud [email protected] Rank MSc in Applied Mathematics [email protected] Office Room 822 www.philadelphia.edu.jo/academics/fawad/ Office Hours STT 12:00 - 13:00 www.facebook.com/ferasawad1980/ MW 11:30 - 12:30 +962 6 47 99 000 (Ext. 2132) Course Description This is an introductory course in statistics. The course is planned so that students learn the basic concepts needed in probability theory and statistics. It familiarizes students with statistical terms such as population, sample, sample size, collecting data, graphical methods, descriptive statistics, mean, variance, regression and correlation, probability basics, and random variables and their distributions for both types: discrete and continuous. Topics Through Weeks Weeks Topics 1 Chapter 1: What is Statistics? Data. Population. Sample. Branches of Statistics. Types of Data. 2 - 6 Chapter 2 : Data and Data Organizing. Raw Data: Stem-Leaf Plot. Frequency Distributions and their Graphs. Frequency Distribution of Continuous Data. The Mean (Average). The Mode and the Median. The Sample Variance and Standard Deviation. Percentiles and Quartiles. Use of Standard Deviation: Chebyshev’s theorem, z-Scores. 7 Chapter 3: Correlation and Regression. Correlation. Simple Linear Regression. 8 - 11 Chapter 4: Probability and Counting. Basic Concepts. Probability of an Event. Event Relations and Laws of Probability. Independence and Conditional Probability. Counting Rules.

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Page 1: Philadelphia University2.Makeup exam should not be given unless there is a valid excuse. So, prepare an o cial written report for veri cation of your excused absence. Drop Date Last

Second Semester

Philadelphia University

Department of Basic Sciences and Mathematics

Course Syllabus 2019/2020

p Course Information

Course Title Elementary Probability & Statistics

Course Code 250231

Course Level 1st year level

Course Pre-Request None

Credit Hours 3

Lecture Time Section [1] STT 09:10 - 10:00 in ROOM 6805

� Academic Staff Specifics

Lecturer Feras Awad Mahmoud R [email protected]

Rank MSc in Applied Mathematics [email protected]

Office Room 822 ¼ www.philadelphia.edu.jo/academics/fawad/

Office Hours STT 12:00 - 13:00 h www.facebook.com/ferasawad1980/

MW 11:30 - 12:30 Ó +962 6 47 99 000 (Ext. 2132)

� Course Description

This is an introductory course in statistics. The course is planned so that students learn the basic concepts

needed in probability theory and statistics. It familiarizes students with statistical terms such as population,

sample, sample size, collecting data, graphical methods, descriptive statistics, mean, variance, regression

and correlation, probability basics, and random variables and their distributions for both types: discrete and

continuous.

� Topics Through Weeks

Weeks Topics

1 Chapter 1: What is Statistics?

Data. Population. Sample. Branches of Statistics. Types of Data.

2− 6 Chapter 2 : Data and Data Organizing.

Raw Data: Stem-Leaf Plot. Frequency Distributions and their Graphs. Frequency Distribution

of Continuous Data. The Mean (Average). The Mode and the Median. The Sample Variance

and Standard Deviation. Percentiles and Quartiles. Use of Standard Deviation: Chebyshev’s

theorem, z−Scores.

7 Chapter 3: Correlation and Regression.

Correlation. Simple Linear Regression.

8− 11 Chapter 4: Probability and Counting.

Basic Concepts. Probability of an Event. Event Relations and Laws of Probability. Independence

and Conditional Probability. Counting Rules.

Page 2: Philadelphia University2.Makeup exam should not be given unless there is a valid excuse. So, prepare an o cial written report for veri cation of your excused absence. Drop Date Last

Weeks Topics

12− 15 Chapter 5: Probability Distributions and Densities.

Random Variables. Discrete Probability Distributions. Continuous Probability Densities. The

Expected Value (Mean) and the Variance. The Binomial Distribution. Normal Probability

Distributions

Î Course Objectives

Upon completion of this course, the student should be able to:

O1 collect and present data using various graphical methods.

O2 calculate and interpret numerical summaries.

O3 apply laws of probability and learn how these laws are used in statistical inference.

O4 be familiar with some important discrete and continuous distributions.

9 Learning Outcomes

Successful completion of the course should lead to the following outcomes:

� Knowledge and Understanding

K1 Determine the aspects of a question, if any, for which statistics can provide relevant information.

K2 Select and use appropriate statistical analyses to obtain useful information from data.

� Cognitive/Subjective Skills

S1 Gather and assess information relevant to a question.

S2 Analyze, evaluate, and synthesize information.

S3 Manipulate and analyze numerical data and arrive at an informed conclusion.

� Creativity/Communication Skills

C1 Be involved in the process of illustrating concepts, building algorithms and exploring facts.

C2 Make critical comments on obtained results.

C3 Write reports, to be involved in general discussions with his classmates, and to do independent

work.

C4 Reading and studying the text; daily homework problems from the text; writing assignments on

concepts covered in class.

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Page 3: Philadelphia University2.Makeup exam should not be given unless there is a valid excuse. So, prepare an o cial written report for veri cation of your excused absence. Drop Date Last

Ä Assessment Distribution

Students will be assessed based on a 100 total marks, which are distributed as follows.Exam Type Expected Time(1) Points Allocated

First 18/03/2020 - 26/03/2020 20%

Second 22/04/2020 - 30/04/2020 20%

Homeworks/Quizzes 3 (TBA(2)) 20%

Final 30/05/2020 − 06/06/2020 40%

� Textbook and Supporting Materials (3)

1. Title Lecture Notes of Statistics.

Author(s) Feras Awad.

Edition 1st Edition (2018)

Publisher Printed by own. Not published yet.

Available philadelphia.edu.jo/academics/fawad/

2. Title Statistics: Principles and Methods.

Author(s) Gouri K. Bhattacharyya and Richard A. Johnson.

Edition 6th Edition 2009

Publisher wiley.

Call Number 519.5 BHA.

- General Notes

� Exams

1. The format for the exams is generally (but NOT always) as follows: multiple choice and written.

2. Grades will not be given out via e-mail.

3. The final exam covers all the material in the course.

� Quizzes

1. Quizzes (10-15 minutes) will be given at the end of the lecture. Typically they will involve some

questions that are designed to test the understanding of the material discussed in the preceding

lectures.

2. There will be 3 quizzes and homeworks each worth 10 points. The highest 2 grades will be counted.

(1)According to University Calender.(2)TBA = To Be Announced.(3)You may borrow wanted books from the library of Philadelphia University using the given CALL NUMBER.

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Page 4: Philadelphia University2.Makeup exam should not be given unless there is a valid excuse. So, prepare an o cial written report for veri cation of your excused absence. Drop Date Last

� Makeup Exams

1. Let your instructor know about your absence after at most two study days of the scheduled exam

time.

2. Makeup exam should not be given unless there is a valid excuse. So, prepare an official written

report for verification of your excused absence.

� Drop Date Last day to drop the course(4) is before Thursday 21/05/2020.

� Cheating

1. Cheating or copying from neighbor on exam, or quiz is an illegal and unethical activity.

2. Standard PU(5) policy(6) will be applied.

� Graded Exams

Instructor should return the exam papers whose grades have been monitored, and announce the solutions

of quizzes and homework assignments to students during the week after the due date.

� Attendance

1. Excellent attendance is expected.

2. PU policy requires the faculty member to assign ZERO grade (35) if a student misses 15% of the

classes that are not excused.

3. If you miss class, it is your responsibility to find out about any announcements or assignments you

may have missed.

� Participation

Participation in, and contribution to class discussions will affect your final grade positively. Raise your

hand if you have any question.

(4)according to PU calendar(5)PU = Philadelphia University.(6)http://www.philadelphia.edu.jo/PDF/laws/reg22.htm

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Page 5: Philadelphia University2.Makeup exam should not be given unless there is a valid excuse. So, prepare an o cial written report for veri cation of your excused absence. Drop Date Last

� ¹ Useful Links

1. GeoGebra geogebra.org

2. Wolfram Cloud wolframcloud.com

3. Online LATEX Editor sharelatex.com

4. Mathematical Olympiad imo-official.org

5. Brilliant brilliant.org

6. patrickJMT patrickjmt.com

� u YouTube Channels

1. MindYourDecisions

2. patrickJMT

3. Numberphile

4. Mathologer

� Useful Apps for and ð

1. Brilliant

2. GeoGebra CASCalculator

3. WolframCloud

4. WolframAlpha

Feras Awad

February 15, 2020

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