Fall 2007

MATH 1107 Elementary Statistics

Instructor

Dr. Anda Gadidov

Office

Science Building Room 529

 

Phone

(770)423-6098, e-mail: agadidov@kennesaw.edu
All emails to the instructor should originate from the student’s netid.student.kennesaw.edu account or from their WebCT account. Our e-mail system has email filtering software that allows for blocking certain domains, one of which could be your commercial email provider.  For more information on setup and use of your email account, go to https://students.kennesaw.edu/email.

 

Office hours

MW 11:00am- 12:30pm; MW 2:00 pm-3:30 pm; other times by appointment

 

Class meets

MW 3:30pm-4:45pm in CL 2003

 

Text

Intro Stats, 2nd ed. by Richard D. De Veaux, Paul F. Velleman, David E. Bock

 

Course 
objectives

Math 1107 at Kennesaw State University is a general education course for students who are not math or science majors. The course is designed to introduce students to statistics.

The course main objectives are the understanding, applying and communicating the techniques for gathering, summarizing, presenting and interpreting statistical data.

 

Description

This is an introductory course in statistics whose main focus is on statistical thinking and data analysis, emphasizing how statistics helps us to understand our world. The basic ideas and methods of probability and statistics are developed aided by well-chosen examples and applications.

 

Learning 
outcomes

1. Students should acquire appropriate vocabulary (population, sample, census, parameter, statistic) and notation.
2. Students will learn some general guidelines for collecting data.
3. Students will understand the difference between qualitative and quantitative data.
4. Students will be able to correctly plot and describe statistical data.
5. Students will be able to correctly interpret statistical plots.
6. Students will understand the importance of measures of center and variation.
7. Students will understand basic probability concepts and be able to use them accordingly.
8. Students will be able to build confidence intervals to estimate population parameters such as means and proportions from statistical data.
9. Students will be able to perform hypothesis tests for population parameters and appropriately interpret the results.
10. Students will be able to successfully use a software to describe, analyze, and perform inferential statistics.
11. Students will gain appreciation for the importance of statistics in everyday life.

 

Prerequisite

Math 1101 or Math 1113 or higher

 

Technology

A TI-83 graphing calculator is required for this class. Microsoft Excel will be the software of choice. STATDISK, MINITAB and will be used at times. I created a MyMathLab account for the course. It can be accessed at http://www.coursecompass.com , course ID: gadidov18415

 

Topic outline

Part 1. Exploring and understanding data. 

Part 2. Exploring relationships between variables: scatterplots; linear regression. 

Part 3. Gathering data.
Part 4. Randomness and probability.
Part 5. From the data at large to the world at large: sampling distribution models, confidence intervals and hypothesis tests for proportions.

Part 6. Learning about the world: inferences about means.
Part 7. Inference when variables are related: Goodness of fit. 

 

Grading

Homework will be assigned but not graded. It is very important in this course that you READ the text, especially the examples to develop the language specific to statistics. Unlike most of the courses taught in this department, in this course you will have to develop writing skills and they will not be about proofs, but about understanding, and interpreting the information that the statistical data is providing, and being able to communicate that information in a concise manner.

Check my homepage http://math.kennesaw.edu for updates on the course. 

Your grade will be based on your performance on quizzes, miniprojects and tests. The final exam is scheduled on Monday, December 10 3:30pm -5:30pm

Make-up quizzes or tests will not be given unless there are exceptional circumstances.  If you must miss a test, you should notify me in writing before the scheduled test time. 

Regular attendance is assumed. Students are responsible for all material covered and any announcements made in class. Please notify me if you know you will be absent for certain class periods. We can work together to ensure understanding of the material you might have missed. By all means, do not wait until it is too late to ask for help. If you cannot come to my office during the official office hours I can try to accommodate you at another time. 

Grades will be assigned as follows: 

Quizzes & projects

150p 

 

A

90% and above

Exam 1

100p

 

B

between 80% and 90%

Exam 2

100p

 

C

between 70% and 80%

Exam 3

100p

 

D

between 60% and 70%

Final exam

100p

 

F

below 60%

Tentative schedule of exams: 
Exam 1: Sept 12.
Exam 2: Oct 8. 
Exam 3: Nov 7.

 

Academic 
misconduct

Every KSU student is responsible for upholding the provisions of the Student Code of Conduct, as published in the Undergraduate and Graduate Catalogs.  Section II of the Student Code of Conduct addresses the University's policy on academic honesty, including provisions regarding plagiarism and cheating, unauthorized access to University materials, misrepresentation/falsification of University records or academic work, malicious removal, retention, or destruction of library materials, malicious/intentional misuse of computer facilities and/or services, and misuse of student identification cards.  Incidents of alleged academic misconduct will be handled through the established procedures of the University Judiciary Program, which includes either an "informal" resolution by a faculty member, resulting in a grade adjustment, or a formal hearing procedure, which may subject a student to the Code of Conduct's minimal one semester suspension requirement.

 

Withdrawal
policy

Students who find that they cannot continue in college for the entire semester after being enrolled, because of illness or any other reason, should complete an official withdrawal form.  Forms may be obtained from the Office of the Registrar.

Students who officially withdraw from the university with the approval of the registrar before mid-semester (including registration days) will be assigned grades of “W”, which will not affect their grade point average.  Students who officially withdraw after mid-semester (and before the last three weeks of the semester) will receive a "WF," which will be counted as an "F" in the calculation of the grade point average.  Those students who stop attending classes without notifying someone will be assigned failing grades, which jeopardize their chances of future academic success.

Students may, by means of the same withdrawal form and with the approval of the university Dean, withdraw from individual courses while retaining other courses on their schedules.  This option may be exercised up until October 11, 2007.

This is the date to withdraw without academic penalty for Fall Term, 2007 classes.  Failure to withdraw by the date above will mean that the student has elected to receive the final grade(s) earned in the course(s).  The only exception to those withdrawal regulations will be for those instances that involve unusual and fully documented circumstances.

 

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