MATH 105 Course Syllabus - SUMMER 2013

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.

 

Math 105-141:  Introduction to Probability and Statistics

 

Number of Credits:  3

 

Course Description:  Intended for students who are not in Science or in Engineering. Considers notions of probability. Topics include the binomial and normal distributions, expected value, and variance. The notions of sampling, hypothesis testing, and confidence intervals are applied to elementary situations.

Prerequisites: None

 

Textbook:  Understanding Basic Statistics by Brase & Brase, 5th Edition. ISBN# 978-0-547-13249-5

 

Instructor:   

Math 105-141

Prof. Baretto

 

Grading Policy:  The final grade in this course will be determined as follows: 

Homework/ Quizzes:

20%

2 Midterm Exams:

25% each

Final Exam:

30%


Your final letter grade will be based on the following tentative curve. This curve may be adjusted slightly at the end of the semester.

A

90-100

C

60-64

B+

85-89

D

50-59

B

80-84

F

0-49

C+

70-79

 

 

 

Drop Date:  Please note that the University Drop Date June 20, 2013 deadline will be strictly enforced.

Attendance:  Attendance at all classes will be recorded and is mandatory. Please make sure you read and fully understand the Department’s Attendance Policy. This policy will be strictly enforced.

Exams:  There will be two midterm exams held in class during the semester and one comprehensive final exam. Exams are held on the following days:

Exam 1:

June , 2013

Exam 2:

June , 2013

Final Exam:

July 18, 2013


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 department's Examination Policy. This policy will be strictly enforced.

Makeup Exam Policy:   There will be No make-up EXAMS during the semester. In the event the Final Exam is not taken, under rare circumstances where the student has a legitimate reason for missing the final exam, a makeup exam will be administered by the math department. In any case the student must notify the Math Department Office and the Instructor that the exam will be missed and present written verifiable proof of the reason for missing the exam, e.g., a doctors note, police report, court notice, etc., clearly stating the date AND time of the mitigating problem.

Further Assistance:  For further questions, students should contact their Instructor. All Instructors have regular office hours during the week. These office hours are listed at the link above by clicking on the Instructor’s name. Teaching Assistants are also available in the math learning center.

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


 

MATH DEPARTMENT CLASS POLICIES LINK 

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. For DMS Course Policies, please click here.

June 20, 2013

R

Last Day to Withdraw from this course

July 4, 2013

R

Independence day ~ University Closed

July 18, 2013

R

Final Exam

 

Course Outline and Homework Assignments:

This schedule is subject to change. Instructor may announce changes at any time.

Meeting

Sect.

Topic

Homework

 

 

CHAPTER 1 Getting Started

 

1

1.1

What is Statistics?

HW1: P.10: 1, 3, 5, 9, 11, 15

 

1.2

Random Samples

           P.18: 1, 3, 7, 9, 11, 15

 

1.3

Introduction to Experimental Design

           P.28: 1, 3, 4, 5, 6, 7, 9

 

 

CHAPTER 2 Organizing Data

 

2

2.1

Frequency Distribution, Histograms, and Related Topics

HW2: P.50: 1, 3, 7, 9, 13, 15

 

2.2

Bar Graphs, Circle Graphs, and Time-Series Graphs

           P.60: 1, 3, 7, 9, 11, 14

 

2.3

Stem-and-Leaf Displays

           P.67: 1, 3, 7, 9

 

 

CHAPTER 3 Averages and Variation

 

3

3.1

Measures of Central Tendency: Mode, Median, and Mean

HW3: P.89: 3, 7, 11, 15, 20, 21

 

3.2

Measures of Variation

           P.104: 1, 3, 7, 9, 11, 15

 

3.3

Percentiles and Box-and-Whisker Plots

           P.117: 1, 3, 5, 7, 9, 11

 

 

CHAPTER 4 Correlation and Regression

 

4

4.1

Scatter Diagrams and Linear Correlation

HW4: P.144: 1, 3, 7, 9, 11, 15

 

4.2

Linear Regression and the Coefficient of Determination

             P.160: 1, 3, 7, 9, 11, 15

 

 

CHAPTER 5 Elementary Probability Theory

 

5

5.1

What is Probability?

HW5: P.183: 1, 3, 7, 9, 11, 15

 

5.2

Some Probability Rules - Compound Events

           P.199: 3, 7, 11, 15, 17, 21

 

5.3

Trees and Counting Techniques

          P.212: 7, 9, 13, 19, 22, 24 ,26

6   

 

Review For Exam 1

 

 

 

EXAM 1

 

 

 

CHAPTER 6 The Binomial Probab. Distrib.& Related Topics

 

7

6.1

Introduction to Random Variables and Probability Distributions

HW6: P.230: 1, 3, 5, 7, 9, 11

 

6.2

Binomial Probabilities

             P.243: 3, 7, 9, 13, 15, 19, 23

 

6.3

Additional Properties of the Binomial Distribution

             P.253: 3, 7, 9, 13, 15, 19

 

 

CHAPTER 7 Normal Curves and Sampling Distribution

 

8

7.1

Graphs of Normal Probability Distributions

HW7: P.273: 1, 2, 3, 5, 7, 10

 

7.2

Standard Units and Areas under the Standard Normal Distribution

             P.284: 3, 5, 7, 9, 13, 19, 29,                          31, 35, 41, 47

 

7.3

Areas under Any Normal Curve

             P.296: 3, 5, 7, 9, 13, 15, 19,              23, 26, 29

9

7.4

Sampling Distribution

HW8: P.305: 1, 3, 4, 5, 7, 8, 9

 

7.5

The Central Limit Theorem

             P.312: 3, 5, 7, 9, 13, 14, 17

 

7.6

Normal Approximation to Binomial Distrib. & p distribution

             P.322: 3, 5, 7, 9, 11, 15, 21

 

 

CHAPTER 8 Estimation

 

10

8.1

Estimating μ When σ is known

HW9: P.346: 1,3,5,9,11,12,13,19

 

8.2

Estimating μ When σ is unknown

             P.357: 3, 5, 7, 9, 13, 17

11

 

Review For Exam 2

 

 

 

EXAM 2

 

12

8.3

Estimating p in the Binomial Distribution

HW10: P.370: 3, 5, 7, 9, 13, 19

 

 

CHAPTER 9 Hypothesis Testing

 

 

9.1

Introduction to Statistical Tests

               P.399: 3, 7, 11, 13, 19, 23

13

9.2

Testing the mean μ

HW11: P.414: 3, 5, 7, 9, 13, 17, 23

 

9.3

Testing a Proportion p

               P.284: 3, 5, 7, 9, 13, 17

14

 

Review for Final Exam

 

15

 

FINAL EXAM (07/18/2013)

 

 

Prepared By:  Prof. Victor Baretto

Last revised:  May 3, 2013

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