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PhiladelphiaUniversity

Faculty of Science

Department of Basic Science and Mathematics

Firstsemester, 2016/2017

Course Syllabus
Course code:0250231 / Course Title:Elementary Probability and Statistics
Course prerequisite (s) : none / Course Level:First year
Credit hours:3 / Lecture Time:08:10-09:00 (S-T-T)
12:10-1:00 (S-T-T)
Academic Staff Specifics
E-mail Address / Office Hours / Office Number
and Location / Rank / Name
/ 9 - 10
(Sun-Tue-Thu)
10 – 11
(Mon-Wed) / 1016, Science faculty building / lecturer / Ameina Al- Taani

Course module 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, random variable, mean, variance, and much more. The course covers materials such as collecting data, graphical methods, descriptive statistics, regression and correlation and probability basics.

Course module objectives:

This module aims to:

  • Collect data
  • Present data using various graphical methods
  • Calculate and interpret numerical summaries
  • Use and apply laws of probability and learn how these laws are used in statistical inference
  • Use the concepts of sampling distributions and learn how it applies in making statistical inferences be based on sample ofdata
  • Be familiar with some important discrete and continuous distributions
  • Make appropriate use of statisticalinference

Textbook

Title: Introduction to Statistics

Author: Jaffar S. Almousawi

Publisher: Dar Albarraka for Publishing

AdditionalBooks

  • Richard A. Johnson, Statistics: Principles and Methods, 6th Edition, John Wiley and Sons,Inc.2010

Teaching methods:Lectures and problem solving.

Duration: 15 weeks, 45 hours in total.

Lectures: 45 hours, 3 per week .

Learning outcomes:

  • Knowledge andunderstanding

--The student will have the knowledge and understanding of how to apply statistical concepts into real world problems.

--The courseserves as a prerequisite to other statistics courses such as probability theory and mathematical statistics.

  • Cognitive skills (thinking and analysis).

The student will be taught how to think statistically. In other words, the course assists the student in the understanding and application of many statistical methods and how to analyze real world data.

  • Communication skills (personal and academic)

-- Be able to work effectively alone or as a member of small group working in some task.

-- Encourage the student to be self-starters and to finish the problems properly.

-- Improve performance of studentsthrough the interaction with each other in solving

different problems.

Assessment instruments

Short reports and/ or presentations, and/ or Short research projects

Quizzes.

Home works.

Final examination: 40 marks.

Allocation of Marks
Mark / Assessment Instruments
20% / First examination
20% / Second examination
40% / Final examination: 40 marks
20% / Reports, research projects, Quizzes, Home works, Projects
100% / Total

Documentation and academic honesty

Documentation style (with illustrative examples)

Students should note that the material covered in the course is all found in the text

book. If a student would like to document any material written on the blackboard,

they must be aware of making mistakes.

Protection by copyright

When a student document any material related to this course or to any other course, he/she

Mustrefer to the reference

Avoiding plagiarism.

Students must abide by the highest standards of academic integrity. Any form of academic

dishonesty will result in a "zero" for that particular assignment or a"zero" for the course, at

the instructors discretion. Any student who plagiarizes, cheats on exams, or otherwise behaves

in a dishonest way may be reported to the university administration for further disciplinary action

as specified in the University Regulations Manual.

Course/module academic calendar

week / Basic and support material to be covered / Homework,
Reports and their due dates
(1) /
  • Introduction Statistics what isit?
Introduction and Data Collection.Types of Data and Their Sources. Some Important Definitions Population, Sample, Parameter, statistic, Descriptive statistics, And Inferential Statistics
(2, 3) /
  • Data and data organizing:
Presenting Data in Tables andCharts, Organizing Numerical Data, The Ordered Array and Stem-Leaf Display, Tabulating and Graphing Univariate Numerical Data, Frequency Distributions: Tables, Histograms
(4, 5, 6) /
  • Summarizing data numerically:
Numerical Descriptive Measures,Measures of Central Tendency, Quartiles, Measures of Variation, Shape
(7)
First Exam /
  • Simple Linear Correlation andRegression
ConvertingSimple Linear Correlation andRegression, The Scatterplot, The Least-Squares Equation, Slope of a Line, Intercept
(8, 9, 10) /
  • Probability concepts and Distributions:
Basic Probability, Sample spacesand events, Simple Probability, Joint Probability, Conditional Probability, Statistical independence, Counting Rules
(11)
Second exam /
  • Discrete Probability Distributions:
Some Important Discrete Probability Distributions. The Probability of a Discrete Random Variable, Binomial Distribution
(12, 13) /
  • The Normal Probability Distribution
The Normal Distribution, TheStandardized Normal Distribution
(14) /
  • Sampling Distributions
Sampling Distributions, SamplingDistribution of the Mean, The Central Limit Theorem
(15)
Final Exam /
  • Review for the all chapters

Expected workload:

On average students need to spend 3 hours of study and preparation for each 50-minute lecture.

Attendance policy:

Attendance is expected of every student. Being absent is not an excuse for not knowing about any important information that may have been given in class. Under the University’s regulations, a student whose absencerecord exceeds 15% of total class hours will automatically fail the course. Students who in any way disrupt the class will be expelled from the classroom and will not be allowed to return until the problem has beenresolved.