PDF Syllabus Stat 2625-4 Fall 2017; learn PDF

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Y.S.U. DEPARTMENT OF MATHEMATICS AND STATISTICS

Statistical Literacy and Critical Reasoning Syllabus Statistics (2625 04 – CRN 43838) Fall Semester 2017(August 23 – December 16) COURSE INFORMATION: • Credits: • Prerequisite: • Class Schedule:

4 semester hours Math 1501 or Level 40 on Math Placement Test MTWF 12:00- 12:50 pm Lincoln Building (MW room 414, T room 112, F room 202)

• Computer Lab: • Required Textbooks:

Lincoln Building Room 414 Elementary Statistics, A Brief Version, 7th Edition by Allan G. Bluman McGraw-Hill

INSTRUCTOR INFORMATION: • • • • •

Instructor: Office Location: Phone: Email: Office Hours:

F. N. Jalali Lincoln Building, Room 621 (330) 941-1808 (office) or (330) 941-3302 (Math & Stats office.) [email protected] MTW 1:00-1:50 pm and by appointment

COURSE COMPONENTS COMPONENTS

POINTS

Six quizzes will be given on the following tentative dates: Q1: 9/6 Q2: 9/20 Exam 1 Q3 10/11 Week 2 Week 4 Week 7 Q4: 10/25 Exam 2 Q5 11/13 Exam 3 Week 9 Week 12 Q6: 12/04 12/08 12/13 _______ Week 15 Review Final

100

Each quiz will be worth 20 points. Your ONE LOWEST quiz grade will be dropped at the end of the semester. Any changes will be announced during the class.

Exam 1: ch.1, 2, and 3

100

Wednesday, September 27, 2017

Exam 2: ch.4, 5, and 6

100

Wednesday, November 01, 2017

Exam 3: ch.7, 8 and 9

100

Monday, November 20, 2017

Final Exam

100

Wednesday, December 13, 2017 (10:30-12:30)

Two Group Projects: Mini project = 20 points

130

Will require Power Point presentations and handouts in typewritten format Projects are to be placed in a pocket folder or bound and should include a cover page.

Attendance, Class Participation , & Professionalism

50

Attendance will be taken during each class time

In-Class Assignments

50

No make-ups

Group Project 1 plus presentation = 55 points Group Project 2 plus interview = 55 points

Homework assignments

TOTAL POSSIBLE POINTS

------------

Homework will be assign for each chapter.

730 Points

GRADING POLICY The standard university grading policy will be used for determining course letter grades as follows: A > 657 A 90-100% 584 ≤ B < 657 B 80-89% 511 ≤ C< 584 C 70-79% 438 ≤ D < 511 D 60-69% (The instructor reserves the right to adjust final grades based upon on a class curve only if such an adjustment would benefit the students.)

COURSE OUTLINE CHAPTERS 1

SECTIONS 1.1 - 1.5

TOPICS The Nature and Probability of Statistics

2

2.1 - 2.4

Frequency Distributions and Graphs

3

3.1 - 3.4

Data Description

4

4.1 - 4.5

Probability and Counting Techniques

5

5.1 - 5.3

Discrete Probability Distributions

6

6.1 - 6.3

The Normal Distribution

7

7.1- 7.3

Confidence Intervals and Sample Size

8

8.1- 8.4

Hypothesis Testing

9

9.1-9.4

Testing the Difference between Two Means (optiona)

10

10.1-10.2

Correlation and Regression

11

11.1-11.2

Chi-Square Tests

Optional Sections

• •

6.4, 7.4, 8.5, 8.6, 9.5, 10.3, 11.3

This course will use SPSS and other statistical software as determined by the instructor. HOMEWORK will be assigned frequently based on the topics covered during each lecture period. All students are responsible for working out the assigned homework problems and learning the concepts relevant to the course. Please be advised that quiz and exam days are subject to change. Students will be advised of such adjustments at least one class period ahead of time. Students are responsible for attending class to become aware of any changes.

ATTENDANCE POLICY •

• •

Attendance will be taken during each class session and will be used in calculating final grades for the course. Class attendance is essential for good performance and adequate understanding of the subject matter. Each student is responsible for all material presented in class. Repeated unexcused absences, late arrivals, and early departures will warrant a grade adjustment. NO MAKE-UP QUIZZES WILL BE GIVEN NO MAKE-UP EXAMS WILL BE GIVEN UNLESS PRIOR ARRANGEMENTS are made with the instructor and will only be permitted in the event that a circumstance beyond control arises and ligament official excused presented. Please note that the instructor reserves the right to accept or reject each request on an individual basis based on the evidence presented. Please note that make-up exams are generally much more difficult.

ACADEMIC DISHONESTY Academic honesty and personal integrity are the foundation upon which a quality education is built. Students are referred to the university’s policy on academic dishonesty in the 2017-2018 Y SU Undergraduate Bulletin.

IMPORTANT SEMESTER DATES ●

•

Last day to withdraw with a “W” Saturday, October 28, 2017 Last day of class: December 8, 2014

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