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MATH 2526-03

Applied Statistics I

Spring 2023

Classroom: STEM 401

Class Time: Wednesday, 9:30- 12:15 PM

Textbook: Introduction to Statistics and Data Analysis, Roxy Peck; Chris Olsen; Jay L. DeVore, Cengage learning, 5th edition.

Credit Hours: Three.

Prerequisite: Math 1054

Instructor: Dr. Jiantian Wang

Office: GLAB 318 Email: [email protected] Phone: 908-737-4726

Office Hours: M: 2:00-3:00PM, T: 11:00- 1:00PM, W: 2:00-3:00PM, TH, 11:00- 12:00PM.

Course Objectives:

A. To introduce some basic methods and concepts in statistics

B. To understand principles of statistical estimation and hypothesis testing procedures, nonparametric tests, Analysis of variance, and regression analysis techniques.

C. To Solve applied problems in statistics using statistical software (Excel or R)

D. Demonstrate how probability and mathematical statistics can be used to analyze problems in the natural, physical, and social and business sciences.

E. Interpret computer output of the results of statistical analysis.

Grading: Will be based on three exams (including final) and homework assignments. The two term exams each will count for 25% and the final exam 30%. Homework assignments and others will count for the remaining 20% of your course grade.

Grade Scale: 100-93 A, 92-89 A-, 88-85 B+, 84-82 B, 81-79 B-, 78-76 C+, 75-70 C, 69-50 D, < 50 F.

Homework : Homework sheets will be provided to you periodically . Once a section has been covered in class, it is then your responsibility to do the homework for this section. Homework must be your own, though you may discuss with others. No late homework will be accepted.

Exams: Most exam problems will be at a similar difficulty level as that of homework problems and those problems discussed in class. Exams are open-book and open-notes. Partial credit may be given on problems in which you show by your written work that you partially solved the problem. Unexcused absences will result in a grade of 0. Make-up exam may be arranged in the case of an excused absence within one week of exam time. The final exam will be cumulative.

Academic honesty and Integrity: The instructor supports and enforces the University Academic Integrity Policy. The policy covers, cheating, fabrication, facilitating, academic dishonesty, plagiarism and related areas. If I become aware of violations of this policy, appropriate steps have to be taken. Penalties range from the assignment of a grade of zero for the activity to dismissal from the University. Each case is handled on an individual basis.

Important dates: Jan. 17, Tuesday: Term begins

Jan. 24: Last day to drop with 100% refund and no mark on record; last day to add Jan. 25: Mark of “W” begins for course withdrawals

Jan. 31: Last day to withdraw with 75% refund

Feb. 7: Last day to withdraw with 50% refund – no refunds issued after this date Feb. 20, Monday: Presidents Day, university closed

Mar. 6 - 12: Spring recess, university closed

Apr. 3: Last day to withdraw from courses with “W” grade (no refund) Apr. 7 - 9: Good Friday, university closed Friday through Sunday

May 2, Tuesday: Classes follow a Friday schedule – no Tuesday classes meet May 3, Wednesday: Classes follow a Monday schedule – no Wednesday classes meet May 4 - 10: Exam week, all classes meet as scheduled

May 10, Wednesday: Term ends

Each student is responsible for reading and understanding the contents of:

Academic Integrity Policy available at the Center for Academic Success or at

http://www.kean.edu/admin/uploads/pdf/AcademicIntegrityPolicy.pdf

Student Code of Conduct, as it discusses expectations of appropriate conduct in the

classroom: http://www.kean.edu/KU/Code-of-Conduct

The Students Rights and Responsibilities handbook is available at: http://www.kean.edu/KU/Forms-Policies-and- Publications

Students are strongly encouraged to register for the University's emergency notification system (www.mir3.com/kean) in order to be informed of campus emergencies, weather notices, and other announcements.

All students must have a valid Kean email account. For those who do not already have one, forms are available on- line athttp://www.kean.edu/KU/Forms-OCIS; click on E-mail Account Request Form.

Americans with Disabilities Statement & Non-Discrimination Statement:

Kean University is an affirmative action, equal opportunity institution. Students with documented disabilities who may need special instructional accommodations or who may need special arrangements in the event of an evacuation should notify the instructor as soon as possible, no later than the second week of the term. Students may contact Kean Disability Office in Downs Hall Rm 127 to discuss special needs, 737-4910.

KU Non-Discrimination Policy: Kean University is an affirmative action, equal opportunity institution.

Class Schedule for Math 2526-03 Spring 2023

Date	Day	Topic
1/18	Wed	Course Introduction, Simple Probability
1/25	Wed	Conditional Probability, Distribution
2/1	Wed	Mean, Expectation, Bernouilli and Binomial Distribution
2/8	Wed	Normal Distribution
2/15	Wed	Test 1
2/22	Wed	Central Limit Theorem, Sampling distribution
3/1	Wed	Estimation
3/8	Wed	Spring Recess, No class
3/15	Wed	Hypothesis Testing
3/22	Wed	Type I, Type II errors
3/29	Wed	Test 2
4/5	Wed	Two Sample Z-test and T-test
4/12	Wed	Many Sample ANOVA test
4/19	Wed	One-Way and Two-Way Tables, Chi-Square Test
4/26	Wed	Linear Regression Analysis
5/3	Wed	Follow Monday schedule, no class.
5/10	Wed	Final Exam