MA120 Basic Concepts of Statistics
for S1KK 2009
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Course  MA 120 Basic Concepts of Statistics 
Semester  S1KK 2009 HA 
Faculty  Maagoul, Habib M. 
Title  Assistant Professor of Mathematics/Adjunct Faculty 
Degrees/Certificates  BA in Mathematics and Engineering Master in Matematics HS "K12"teaching Certifiacte 
Office Location  Hanscom AFB 
Office Hours  Before or after the class 
Daytime Phone  Email is the best way to contact me! 
Other Phone  4787145210 
EMail  habib.maagoul@park.edu 
 shiffu_16@comcast.net 
Semester Dates  01/12/2009  03/08/2009 
Class Days  MW5:30p 8:30p 
Class Time  5:30  8:30 PM 
Credit Hours  3 
Textbook:
Required Text: ElementaryStatistics, 10th Ed
Author: Mario F. Triola
Publisher: AddisonWesley
ISBN: 0321522915


Textbooks can be purchased through the MBS bookstore
Textbooks can be purchased through the Parkville Bookstore
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Course Description: MA120 Basic Concepts of Statistics (GE): A development of certain basic concepts in probability and statistics that is pertinent to most disciplines. Topics include: probability models, parameters, statistics and sampling procedures, hypothesis testing, correlation and regression. 3:0:3
In order to demonstrate the ability to locate, organize, and analyze information from a variety of resources with emphasis on the use of information technology, the student will minimally be expected to use the TI83 or TI84 graphics calculator regularly in class and on tests and assignments.
Educational Philosophy:
The facilitator’s educational philosophy is one of interactiveness based on lectures, quizzes, dialogues, examinations, internet, videos. The facilitator will connect each learner in what is referred to as disputatious learning to give confidence the lively exploration of ideas, issues and contradictions.
.
Learning Outcomes:
Core Learning Outcomes
 Compute descriptive statistics for raw data as well as grouped data.
 Determine appropriate features of a frequency distribution.
 Apply Chebyshev's Theorem.
 Distinguish between and provide relevant descriptions of a sample and a population.
 Apply the rules of combinatorics.
 Differentiate between classical and frequency approaches to probability.
 Apply settheoretic ideas to events.
 Apply basic rules of probability.
 Apply the concepts of specific discrete random variables and probability distributions.
 Compute probabilities of a normal distribution.
 Compute confidence intervals of means and percentages.
 Perform hypothesis tests involving one population.
 Compute regression and correlation of Bivariate data.
Core Assessment: Description of MA 120 Core Assessment
One problem with multiple parts for each numbered item, except for item #3, which contains four separate problems.
1. Compute the mean, median, mode, and standard deviation for a sample of 8 to 12 data.
2. Compute the mean and standard deviation of a grouped frequency distribution with 4 classes.
3. Compute the probability of four problems from among these kinds or combinations there of:
a. the probability of an event based upon a twodimensional table;
b. the probability of an event that involves using the addition rule;
c. the probability of an event that involves conditional probability;
d. the probability of an event that involves the use of independence of events;
e. the probability of an event based upon permutations and/or combinations;
f. the probability of an event using the multiplication rule; or
g. the probability of an event found by finding the probability of the complementary event.
4. Compute probabilities associated with a binomial random variable associated with a practical situation.
5. Compute probabilities associated with either a standard normal probability distribution or with a nonstandard normal probability distribution.
6. Compute and interpret a confidence interval for a mean and/ or for a proportion.
Link to Class Rubric
Class Assessment:
There will be 3 Inclass Tests and comprehensive Final Exam. Test dates will be announced ahead of time. Problems on tests will be similar to either the suggested exercises or problems covered in course lectures. I may also give a practice test as homework before each exam, and I will worked out thoroughly in lecture. Each test will be comprehensive i.e., any problem appearing on a previous test may also appear on subsequent tests. There will be no makeup tests given for any reason.
In the event of a missed test, the missed test will be replaced with the grade received on the final exam. If, however, two or more tests are missed for any reason whatsoever, a grade of zero will be assigned to each missed test.
Grading:
Your grade will be determined by your performance on tests, Final and will be figured according to the system described below:
3 InClass tests: 300 points Total (100 points each)
Final 200 points
There are 500 total obtainable points for this course. To determine your letter grade at the semester’s end, your total points will be tallied and averaged against the available 500 points. The point scale is as follows:
Grade = (Test1 + Test2 + Test3 + Final) / 5
90% to 100% A, 80% to 89% B, 70% to 79% C, 60% to 69% D, Under 60% F
Classroom Rules of Conduct:
Any activity that disrupts classroom events (i.e., cellular phones or pagers ringing in class, bringing children to class, loud talking, sleeping in class, etc…) will result in the student(s) being asked to leave the classroom. In addition, students who come to class late or leave early disturb other students as well as the instructor. The instructor reserves the right to deduct points at his discretion from the course grade of any student who persistently participates in disrupting behavior. If the problem becomes chronic, the student(s) will be assigned a grade of “F” in the course.


Course Topic/Dates/Assignments:
WEEK


1

Syllabus & Classroom Policies & Introduction to Statistics
2.2 Frequency Distribution
Suggested Exercises:117 odd
2.3 Histograms
Suggested Exercises:117 odd
2.4 Stalistical Graphicss
Suggested Exercises:115 odd
3.2 Measures of Center
Suggested Exercises:111 odd, 17, 19, 25

2

3.3 Measures of Variation
Suggested Exercises:119 odd
3.4 Measures of Relative Standing
Suggested Exercises: 19 odd, 15, 17, 21, 25
4.2 Fundamentals
Suggested Exercises: 319 odd, 23

3

Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1 Test 1
4.3 Addition Rule
Suggested Exercises:121 odd

4

4.4 Multiplication Rule: Basics
Suggested Exercises:113 odd, 21, 23
4.5 Multiplication Rule: Complements and Conditional Probability
Suggested Exercises:1, 3, 7, 9, 11, 13, 15, 19, 21, 25
4.7 Counting
Suggested Exercises:115 odd, 1929 odd
5.2 Random Variables
Suggested Exercises:1, 3, 5, 7, 9, 11, 13, 21

5

5.3 Binomial Probability Distributions
Suggested Exercises: 17 odd, 1119 odd, 2531 odd
5.4 Mean, Variance, and Standard Deviation for the Binomial Distribution
Suggested Exercises:113 odd
Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –Test 2 –

6

6.2 The Standard Normal Distribution
Suggested Exercises:9 – 37 odd and 41
6.3 Applications of Normal Distributions
Suggested Exercises:113 odd, 17, 19
6.4 Sampling Distributions and Estimators
6.5 The Central Limit Theorem
Suggested Exercises: 115 odd

7

8.1 Overview
8.2 Basics of Hypothesis Testing
Suggested Exercises: 519 odd and 2939 odd
8.4 Testing a Claim About a Mean: Known
Suggested Exercises: 1, 3, 9, 15, 17
8.5 Testing a Claim About a Mean: Not Known
Suggested Exercises: 1, 3, 13, 15, 17, 19, 25

8

Test 3 – Test 3 – Test 3 – Test 3 – Test 3 – Test 3 – Test 3 – Test 3 – Test 3 – Test 3 –


Final Exam: Last the day of class

Course Content:

Attached is a tentative outline of material to be covered. This schedule and material
is subject to change at the discretion of the instructor.

Academic Honesty:
Academic integrity is the foundation of the academic community. Because each student has the primary responsibility for being academically honest, students are advised to read and understand all sections of this policy relating to standards of conduct and academic life. Park University 20082009 Undergraduate Catalog Page 87
Plagiarism:
Plagiarism involves the use of quotations without quotation marks, the use of quotations without indication of the source, the use of another's idea without acknowledging the source, the submission of a paper, laboratory report, project, or class assignment (any portion of such) prepared by another person, or incorrect paraphrasing. Park University 20082009 Undergraduate Catalog Page 87
Attendance Policy:
Instructors are required to maintain attendance records and to report absences via the online attendance reporting system.
 The instructor may excuse absences for valid reasons, but missed work must be made up within the semester/term of enrollment.
 Work missed through unexcused absences must also be made up within the semester/term of enrollment, but unexcused absences may carry further penalties.
 In the event of two consecutive weeks of unexcused absences in a semester/term of enrollment, the student will be administratively withdrawn, resulting in a grade of "F".
 A "Contract for Incomplete" will not be issued to a student who has unexcused or excessive absences recorded for a course.
 Students receiving Military Tuition Assistance or Veterans Administration educational benefits must not exceed three unexcused absences in the semester/term of enrollment. Excessive absences will be reported to the appropriate agency and may result in a monetary penalty to the student.
 Report of a "F" grade (attendance or academic) resulting from excessive absence for those students who are receiving financial assistance from agencies not mentioned in item 5 above will be reported to the appropriate agency.
Park University 20082009 Undergraduate Catalog Page 8990
Disability Guidelines:
Park University is committed to meeting the needs of all students that meet the criteria for special assistance. These guidelines are designed to supply directions to students concerning the information necessary to accomplish this goal. It is Park University's policy to comply fully with federal and state law, including Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act of 1990, regarding students with disabilities. In the case of any inconsistency between these guidelines and federal and/or state law, the provisions of the law will apply. Additional information concerning Park University's policies and procedures related to disability can be found on the Park University web page: http://www.park.edu/disability .
Rubric
Competency  Exceeds Expectation (3)  Meets Expectation (2)  Does Not Meet Expectation (1)  No Evidence (0) 
Evaluation Outcomes 10  Can perform and interpret a hypothesis test with 100% accuracy.  Can perform and interpret a hypothesis test with at least 80% accuracy.  Can perform and interpret a hypothesis test with less than 80% accuracy.  Makes no attempt to perform a test of hypothesis. 

Synthesis Outcomes 10  Can compute and interpret a confidence interval for a sample mean for small and large samples, and for a proportion with 100% accuracy.  Can compute and interpret a confidence interval for a sample mean for small and large samples, and for a proportion with at least 80% accuracy.  Can compute and interpret a confidence interval for a sample mean for small and large samples, and for a proportion with less than 80% accuracy.  Makes no attempt to compute or interpret a confidence interval. 

Analysis Outcomes 10  Can apply the normal distribution, Central limit theorem, and binomial distribution to practical problems with 100% accuracy.  Can apply the normal distribution, Central limit theorem, and binomial distribution to practical problems with at least 80% accuracy.  Can apply the normal distribution, Central limit theorem, and binomial distribution to practical problems with less than 80% accuracy.  Makes no attempt to apply the normal distribution, Central Limit Theorem, or binomial distribution. 

Terminology Outcomes 4,5,7  Can explain event, simple event, mutually exclusive events, independent events, discrete random variable, continuous random variable, sample, and population with 100% accuracy.  Can explain event, simple event, mutually exclusive events, independent events, discrete random variable, continuous random variable, sample, and population with at least 80% accuracy.  Can explain event, simple event, mutually exclusive events, independent events, discrete random variable, continuous random variable, sample, and population with less than 80% accuracy.  Makes no attempt to explain any of the terms listed. 

Concepts Outcomes 1,6  Can explain mean, median, mode, standard deviation, simple probability, and measures of location with 100% accuracy.  Can explain mean, median, mode, standard deviation, simple probability, and measures of location with at least 80% accuracy.  Can explain mean, median, mode, standard deviation, simple probability, and measures of location with less than 80% accuracy.  Makes no attempt to define any concept. 

Application Outcomes 1,2,3,8,9  Compute probabilities using addition multiplication, and complement rules and conditional probabilities. Compute statistical quantities for raw and grouped data. Compute probabilities using combinatorics, discrete random variables, and continuous random variables. All must be done with 100% accuracy.  Compute probabilities using addition multiplication, and complement rules and conditional probabilities. Compute statistical quantities for raw and grouped data. Compute probabilities using combinatorics, discrete random variables, and continuous random variables. All must be done with at least 80% accuracy.  Compute probabilities using addition multiplication, and complement rules and conditional probabilities. Compute statistical quantities for raw and grouped data. Compute probabilities using combinatorics, discrete random variables, and continuous random variables. All are done with less than 80% accuracy.  Makes no attempt to compute any of the probabilities or statistics listed. 

Whole Artifact Outcomes 7,8  Can apply the concepts of probability and statistics to realworld problems in other disciplines with 100 % accuracy.  Can apply the concepts of probability and statistics to realworld problems in other disciplines with at least 80 % accuracy.  Can apply the concepts of probability and statistics to realworld problems in other disciplines with less than 80% accuracy.  Makes no attempt to apply the concepts to realworld problems. 

Components Outcomes 1  Can use a calculator or other computing device to compute statistics with 100% accuracy.  Can use a calculator or other computing device to compute statistics with at least 80% accuracy.  Can use a calculator or other computing device to compute statistics with less 80% accuracy.  Makes no attempt to use any computing device to compute statistics. 
Copyright:
This material is protected by copyright
and can not be reused without author permission.
Last Updated:12/25/2008 2:18:11 PM