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MATH 333: Probability and Statistics Spring 2016 Course Syllabus NJIT Academic Integrity Code: All Students should be aware that the Department of Mathematical Sciences takes the University Code on Academic Integrity at NJIT very seriously and enforces it strictly. This means that there must not be any forms of plagiarism, i.e., copying of homework, class projects, or lab assignments, or any form of cheating in quizzes and exams. Under the University Code on Academic Integrity, students are obligated to report any such activities to the Instructor. COURSE INFORMATION Course Description: Descriptive statistics and statistical inference. Topics include discrete and continuous distributions of random variables, statistical inference for the mean and variance of populations, and graphical analysis of data. Effective From: Fall 2012. Number of Credits: 3 Prerequisites: Math 112 with a grade of C or better or Math 133 with a grade of C or better. Course-Section and Instructors Course-Section Instructor Math 333-002 Professor P. Natarajan Math 333-004 Professor P. Natarajan Math 333-006 Professor G. Mytalas Math 333-102 Professor J. Porus Math 333-104 Professor G. Kariuki Required Textbook: Title Applied Statistics and Probability for Engineers Author Montgomery and Runger Edition 6th Publisher John Wiley & Sons ISBN # 978-1118963548 (Custom Ed. Bundled w/ WP) 978-1118470688 (Standalone WP Registration Card) University-wide Withdrawal Date: Please note that the last day to withdraw with a W is March 28, 2016. It will be strictly enforced. COURSE GOALS Course Objective: The objective of this course is to acquaint students with probability, descriptive statistics and statistical inference and demonstrate real world applications using examples drawn from various fields. Course Outcomes Demonstrate understanding of various statistical terms and methods for summarizing, organizing, and presenting data. Compute measures of central tendency, position, and variability and interpret them. Describe sample space and events and demonstrate their knowledge of various counting techniques, notions of probability, random variables and various discrete and continuous probability distributions. Demonstrate conceptual understanding of sampling distributions and the central limit theorem. Perform statistical analysis, such as estimation, hypothesis testing, regression, and draw conclusions. Course Assessment: The assessment tools used will include weekly homework assignments/quizzes, two common midterm exams and a common final exam. POLICIES DMS Course Policies: All DMS students must familiarize themselves with, and adhere to, the Department of Mathematical Sciences Course Policies, in addition to official university-wide policies. DMS takes these policies very seriously and enforces them strictly. Grading Policy: The final grade in this course will be determined as follows: Homework and Quizzes 15% Common Midterm Exam I 25% Common Midterm Exam II 25% Final Exam 35% Your final letter grade will be based on the following tentative curve. A 90 - 100 C 65 - 74 B+ 85 - 89 D 55 - 64 B 80 - 84 F 0 - 54 C+ 75 - 79 Attendance Policy: Attendance at all classes will be recorded and is mandatory. Please make sure you read and fully understand the Math Department’s Attendance Policy. This policy will be strictly enforced. Homework/ Quiz Policy: Weekly Homework will be assigned on WileyPlus. Additionally, Quizzes would be given in class. Old Exams: http://math.njit.edu/students/undergraduate/course_exams.php Exams: There will be two common midterm exams held during the semester and one comprehensive common final exam. Exams are held on the following days: Common Midterm Exam I March 2, 2016 Common Midterm Exam II April 6, 2016 Final Exam Period May 6 - 12, 2016 The time of the midterm exams is 4:15-5:40 PM for daytime students and 5:45-7:10 PM for evening students. The final exam will test your knowledge of all the course material taught in the entire course. Make sure you read and fully understand the Math Department's Examination Policy. This policy will be strictly enforced. Makeup Exam Policy: To properly report their absence during a midterm or final exam, please review the required steps under the DMS Examination Policy found here: http://math.njit.edu/students/policies_exam.php Extra Cellular Phones: All cellular phones and other electronic devices must be switched off during all class times. ADDITIONAL RESOURCES Math Tutoring Center: Located in Cullimore, Room 214 (See: Spring 2016 Hours) Accommodation of Disabilities: NJIT is committed to providing students with documented disabilities equal access to programs and activities. If you have, or believe that you may have, a physical, medical, psychological, or learning disability that may require accommodations, please contact the Coordinator of Student Disability Services located in the Center for Counseling and Psychological Services, in Campbell Hall, Room 205, (973) 596-3414. Further information on disability services related to the self-identification, documentation and accommodation processes can be found on the webpage at: http://www.njit.edu/counseling/services/disabilities.php Important Dates (See: Spring 2016 Academic Calendar, Registrar) Date Day Event January 19, 2016 T First Day of Classes January 25, 2016 M Last Day to Add/Drop Classes March 13 - 20, 2016 Su - Su Spring Recess - No Classes, University Open March 25, 2016 F Good Friday - No Classes, University Closed May 3, 2016 T Friday Classes Meet/ Last Day of Classes May 4 & 5, 2016 W&R Reading Days May 6 - 12, 2016 F-R Final Exam Period Course Outline Week + Dates Section Topic WEEK 1 1/19 (T) 6.1-6.4 Descriptive Statistics: Stem-and-Leaf, Histograms, Mean, Median 6.16.4 Variance and Standard Deviation, Boxplot WEEK 2 1/26 (T) 2.12.4 Probability: Sample Space, Events, Interpretations of Probability, Addition Rules and Conditional Probability 2.5- Multiplication and Total Probability Rules, Independence 2.6 WEEK 3 2/2 (T) 2.7 Bayes' Theorem 3.13.3 Discrete Random Variables: Probability Mass Function, Cumulative Distribution Function WEEK 4 2/9 (T) 3.43.5 Mean and Variance of a Discrete Random Variable, Discrete Uniform Distribution 3.6 Binomial Distribution 3.7, 3.9 Geometric Distribution, Poisson Distribution 4.14.3 Continuous Random Variables: pdf and cdf 4.44.5 Mean and Variance of a Continuous Random Variable, Continuous Uniform Distribution WEEK 5 2/16 (T) WEEK 6 2/23 (T) REVIEW FOR EXAM #1 WEEK 7 3/1 (T) WEEK 8 3/8 (T) MIDTERM EXAM I: WEDNESDAY ~ MARCH 2, 2016 4.8 Exponential Distribution 4.6 Normal distribution 4.7 Normal approximation 3/13(S) TO 3/20(S) SPRING RECESS (NO CLASSES) (MARCH 13 TO MARCH 20, 2016) : WEEK 9 3/22 (T) 7.17.2 Point Estimation, Sampling Distributions and the Central Limit Theorem 8.1 Confidence Interval on the Mean of a Normal Distribution, Variance Known (WITHDRAWAL DEADLINE Monday, MArch 28, 2016) WEEK 10 3/29 (T) WEEK 11 4/5 (T) 8.2 Confidence Interval on the Mean of a Normal Distribution, Variance Unknown REVIEW FOR EXAM #2 MIDTERM EXAM II: WEDNESDAY ~ APRIL 6, 2016 8.3 8.4 Confidence Intervals on the Variance and Standard Deviation of a Normal Distribution, Large Sample Confidence Interval for a Population Proportion 9.19.2 Hypothesis Testing Basics; Tests on the Mean of a Normal Distribution, P-values 9.19.2 Type I and II error WEEK 13 4/19 (T) 9.3, 9.5 Small Sample Tests on the Mean, Test on a Population Proportion WEEK 14 4/26 (T) 10.4, 10.1 Paired t-test, Tests on the Difference in the Means of Two Normal Distributions 11.2 Simple Linear Regression, REVIEW FOR FINAL EXAM WEEK 12 4/12 (T) WEEK 15 5/3 (T) REVIEW FOR FINAL EXAM 5/4 - 5/5 (W-R) READING DAYS 5/6 5/12 FINAL EXAM WEEK Updated by Professor P. Natarajan - 12/24/2015 Department of Mathematical Sciences Course Syllabus, Spring 2016