Qatar University. College of Arts and Science. Department of Mathematics, Statistics and Physics. Syllabus for Stat. 101

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1 Qatar University College of Arts and Science Department of Mathematics, Statistics and Physics Syllabus for Stat. 101 Course Information Course Name: 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 (Lab). Classroom: 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 Chi- Square 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: 9 th edition

2 Year: 2012 Author: Neil A. Weiss. Publisher: Pearson Education Inc. References: 1. Introduction to Probability and Statistics. W. Mendenhall, B. Beaver and R. Beaver, 12 th edition, 2005, Duxbury. 2. Introduction to Statistics. By R. D. Deaux and P. F. Velleman, 3 rd edition, 2008, Adison Welesy. Instructor Information Name: Moh d Alodat Program: Statistics Telephone and Tel , alodatmts@qu.edu.qa 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 Topics to be covered 1 Statistics, Population, Types of data, Sampling techniques Tables and graphs Displaying quantitative data, Descriptive Statistics 2 Measure of central tendency, Measures of dispersion 3 Measures of relative standing, Z scores, Percentiles and Quartiles, 4 BoxPlot Random experiment, Sample space, Axioms of probability, Rules 5 of probability, Counting techniques Conditional probability, Independence, The theorem of total probability, 6 Bayes Theorem.

3 Discrete and continuous random variables, Probability distributions 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

4 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. To 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 To formulate and solve some basic inferential statistical problems 1. Participation 2. Exams 3. Assignments 1. Assignments 2. Exams Train the students to use statistical packages and/or scientific calculators in practical applications of statistics. To interpret the statistical results and conclusions To use statistical packages and/or calculators to analyze data. 1. Assignments 2. Exam 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

5 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 Scale Letter Grade A B + B C + C D + D F 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

6 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.

7 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 Description September 25, 2011 First day of classes for Fall 2011 September 29, 2011 End of the add and drop for Fall 2011 October 06, 2011 Last day to change an incomplete grade for Spring and Summer 2011 October 30, 2011 Start of application for admission, transfer and scholarship for Spring (2012) November 06, 2011 Start of Eid s Holidays November 10, 2011 End of Eid s Holidays November 13, 2011 Start of early registration for Spring 2012 November 24, 2011 Last day to withdraw from a course in Fall 2011 December 01, 2011 End of application for admission, transfer and scholarship for Spring (2012) December 08, 2011 Last day to withdraw from the semester Fall 2011 December 18, 2011 National holiday December 22, 2011 End of application to register for classes in other universities (spring 2012) January 05, 2012 Last day of classes in Fall 2011 January 08, 2012 Start of final exams for Fall 2011 January 19, 2012 End of final exams for Fall 2011 January 29, 2012 Start of Mid Academic Year break

8 References 1. Fowler, H. R. (1986). The little brown handbook. 3 rd edition, Boston Little Brown.