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Math 661: Applied Statistics
Fall 2018 Graduate 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: Role and purpose of applied statistics. Data visualization and use of statistical software used in course. Descriptive statistics, summary measures for quantitative and qualitative data, data displays. Modeling random behavior: elementary probability and some simple probability distribution models. Normal distribution. Computational statistical inference: confidence intervals and tests for means, variances, and proportions. Linear regression analysis and inference. Control charts for statistical quality control. Introduction to design of experiments and ANOVA, simple factorial design and their analysis. MATH 661 and MATH 663 cannot both be used toward degree credits at NJIT.

Number of Credits: 3

Prerequisites: MATH 112.

Course-Section and Instructors

Course-Section Instructor
Math 661-101 Professor P. Natarajan

Office Hours for All Math Instructors: Fall 2018 Office Hours and Emails

Required Textbooks:

Title Introduction to the Practice of Statistics
Author D.S. Moore, G.P. McCabe and B. Craig
Edition 8th
Publisher MacMillan Learning
ISBN # 978-1464158940 (w/ Launchpad)

University-wide Withdrawal Date:The last day to withdraw with a w is Monday, November 12, 2018. It will be strictly enforced.

Reference Textbooks

Course Goals

Course Objectives: This course will acquaint students with statistical techniques, with emphasis on applications.

Course Outcomes

On successful completion of this course, the student will be able to :

Course Assessment: The assessment tools used will include regular homework assignments and quizzes, a mid-term exam, and a final exam.


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 25%
Midterm Exam 35%
Final Exam 40%

Your final letter grade will be based on the following tentative curve:

A 90 - 100 C+ 75 - 79
B+ 85 - 89 C 60 - 74
B 80 - 84 F 0 - 59

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 and Quiz Policy: Weekly online homework will be assigned on Launchpad. Additional homework and/or quizzes will be given in class/Moodle.

Software: Minitab/JMP/Crunchit/Excel will be used in the course for assignments/demonstration in class lectures. Smartphones and/or laptop would be needed for in-class assessments.

Exams: There will be a midterm exam during the semester and one comprehensive final exam during the final exam week. Use of Non-programmable/Non-graphing calculator is permitted during the exam. Exams will be held on the following days:

Midterm Exam October 16, 2018
Final Exam Period December 15 - 21, 2018

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 your absence from a midterm or final exam, please review and follow the required steps under the DMS Examination Policy found here:

Cellular Phones: All cellular phones and other electronic devices must be switched off during all class times.

Additional Resources

Accommodation of Disabilities: Disability Support Services (DSS) offers long term and temporary accommodations for undergraduate, graduate and visiting students at NJIT.

If you are in need of accommodations due to a disability please contact Chantonette Lyles, Associate Director of Disability Support Services at 973-596-5417 or via email at The office is located in Fenster Hall, Room 260.  A Letter of Accommodation Eligibility from the Disability Support Services office authorizing your accommodations will be required.

For further information regarding self identification, the submission of medical documentation and additional support services provided please visit the Disability Support Services (DSS) website at:

Important Dates (See: Fall 2018 Academic Calendar, Registrar)

Date Day Event
September 4, 2018 T First Day of Classes
September 10, 2018 M Last Day to Add/Drop Classes
November 12, 2018 M Last Day to Withdraw
November 20, 2018 T Thursday Classes Meet
November 21, 2018 W Friday Classes Meet
November 22 - 25, 2018 R - Su Thanksgiving Recess
December 12, 2018 W Last Day of Classes
December 13 & 14, 2018 R & F Reading Days
December 15 - 21, 2018 Sa - F Final Exam Period

Course Outline

Week Lecture Chapter Topic
Week  1
9/4 (T)
1 1 Looking at Data-Distributions
Week 2
9/11 (T)
2 1 Looking at Data-Distributions
Week 3
9/18 (T)
3 2 Looking at Data-Relationships
Week 4
9/25 (T)
4 4 Probability: The study of Randomness
Week 5
10/2 (T)
5 4 Probability: The study of Randomness
5 Sampling Distributions
Week 6
10/9 (T)
6 5 Sampling Distributions
Review for Exam  
Week 7
10/16 (T)
7 5 Sampling Distributions
Week 8
10/23 (T)
8 6 Introduction to Inference   
Week 9
10/30 (T)
9 6 Introduction to Inference
7 Inference for distributions
Week 10
10 6 Introduction to Inference
7 Inference for distributions
Week 11
11 6 Introduction to Inference
8 Inference for Proportions
Week 12
11/20 (T)
November 20(T): Thursday classes meet
November 21(W): Friday classes meet
Thanksgiving Recess:
November 22- November 25, 2018
Week 13
11/27 (T)
12 7 Inference for distributions
9 Analysis of Two-Way Tables
Week 14
12/4 (T)
13 12 One-Way Analysis of Variance
3 Producing Data
Week 15
12/11 (T)
14 3 Producing Data
Review for Final Exam
Reading Day 12/13(R) and 12/14(F)
12/15 - 12/21 Final EXAM WEEK 

Updated by Professor P. Natarajan - 9/4/2018
Department of Mathematical Sciences Course Syllabus, Fall 2018