## Course Syllabus

Department of Mathematics and Computer Science, Lincoln University

 COURSE ID: MAT-114 COURSE NAME: Elementary Statistics I CREDITS: 3

TEXT BOOK:

Freund, John and Perles, Benjamin M. (2007) Modern Elementary Statistics 12th Edition. Pearson/Prentice Hall: NJ.

INSTRUCTOR INFORMATION:

***To be provided for each section***

COURSE DESCRIPTION:

This course is designed for students who need an elementary knowledge of statistics. The basic ideas of descriptive statistical methods are considered, including frequency distribution, measures of location and variation. It also includes permutation, combination and rules of probability, together with well-known probability distributions such as binomial, Poisson, geometric, hyper-geometric and multinomial.

PREREQUISITE:         MAT-110 (College Algebra) or Placement

COURSE GOALS- STUDENT LEARNER OUTCOMES:

Upon completion of this course, the student should be able to:
• Organise raw data in frequency tables and graphs.
• Find the appropriate value in central location, including mean, median, mode, fractiles, and weighted mean.
• Measure the variation and standard deviation in data and estimate data values between .
• Use the basic concepts of probability theory, to calculate probability including methods of counting, properties of probability such as addition and multiplication principles, and the differences between odds and probability.
• Apply conditional probability theory to real life examples.
• Calulate Mathematical expectation in real life problems.

TENTATIVE SCHEDULE OF WEEKLY ASSIGNMENTS:

Ch 3 - Summarizing Data: Measures of Location (Weeks 1 to 3)

3.1 Populations and Sample
3.2 The Mean
3.3 The weighted Mean
3.4 The Median
3.5 Other Fractiles
3.6 The Mode
3.7 The Description of Grouped Data

Test 1

CH 4 - Summarizing Data: Measures of Variation (Weeks 4 to 5)

4.1 The Range
4.2 The Standard Deviation and the Variance
4.3 Applications of the Standard Deviation
4.4 The Description of Grouped Data

Test 2

CH 5 - Possibilities And Probabilities (Weeks 6 to 7)

5.1 Counting
5.2 Permutations
5.3 Combinations
5.4 Probability

Test 3

CH 6 - Some Rules of Probability (Weeks 8 to 10)

6.1 Sample Spaces and Events
6.2 The Postulates of Probability
6.3 Probabilities and Odds
6.5 Conditional Probability
6.6 Multiplication Rules
6.7 Bayes Theorem

Test 4

CH 7 - Expectations And Decisions (Week 11)

7.1 Mathematical Expectation

CH 8 - Probability Distributions (Week 12 to 16)

8.1 Random Variables
8.2 Probability Distributions
8.3 The Binomial Distribution
8.4 The Hyper-geometric Distribution
8.5 The Poisson Distribution
8.6 The Multinomial Distribution
8.7 The Mean of a Probability Distribution
8.8 The Standard Deviation of a probability Distribution

Test 5 and 6.

Final Exam (administered during the official university final exam period )

COURSE ASSESSMENT- LEARNING OPPORTUNITIES:*

• Homework

Daily homework will be given on material covered in class, reviewed the next day, and may be collected and graded on an unannounced basis. On all assignments, all work must be shown for credit.

Students are encouraged to work cooperatively. The objective of group work is to develop individual skills while learning to work effectively as a team, to think and talk about problem solving and the underlying mathematical concepts, and to develop the ability to ask and answer questions as they arise. However, each student is responsible for all the assigned material, in other words, students can work together, but should not simply copy work from each other. Students are also encouraged to make regular visits during office hours, to meet in study groups, and to use the Math Lab or the Math Tutors from the School of Natural Sciences.

• Quizzes, Tests and Final Exam

Short quizzes or take home projects will be given on an unannounced basis. One hour in- class exams will be announced at least a week in advance. A cumulative two hour Final Exam will be given as scheduled by the Registrar. All work must be shown for full credit.

• Late Work And Make-Ups

All graded assignments, quizzes and exams must be completed when scheduled. Late assignments or make-up tests or quizzes will only be allowed with official documentation and grades may be lowered. To qualify for a make-up, a student must have notified the professor and rescheduled in a timely manner.

 Participation+ 30% Tests 50% Final 20%
(+Includes attendance, homework, classwork, projects, labs, quizzes, etc.)

 A 92-100% A- 88-91% B+ 85-87% B 82-84% B- 78-81% C+ 75-77% C 72-74% C- 68-71% D+ 65-67% D 58-64% F 0-57%

UNIVERSITY POLICY:

1) Attendance:

Lincoln University uses the class method of teaching, which assumes that each student has something to contribute and something to gain by attending class. It further assumes that there is much more instruction absorbed in the classroom than can be tested on examinations. Therefore, students are expected to attend all regularly scheduled class meetings and should exhibit good faith in this regard. For the control of absences, the faculty adopted the following regulations:

• Four absences may result in an automatic failure in the course.
• Three tardy arrivals may be counted as one absence.
• Absences will be counted starting with whatever day is specified by the instructor but not later than the deadline for adding or dropping courses.
• In case of illness, death in the family, or other extenuating circumstances, the student must present documented evidence of inability to attend classes to the Vice President for Student Affairs and Enrollment Management. However, in such cases the student is responsible for all work missed during those absences.
• Students representing the University in athletic events or other University sanctioned activities will be excused from class (es) with the responsibility of making up all work and examinations. The Registrar will issue the excused format to the faculty member in charge of the off- or on-campus activity for delivery by the student(s) to their instructors.

Students are responsible for proper conduct and integrity in all of their scholastic work. They must follow a professor's instructions when completing tests, homework, and laboratory reports, and must ask for clarification if the instructions are not clear. In general, students should not give or receive aid when taking exams, or exceed the time limitations specified by the professor. In seeking the truth, in learning to think critically, and in preparing for a life of constructive service, honesty is imperative. Honesty in the classroom and in the preparation of papers is therefore expected of all students. Each student has the responsibility to submit work that is uniquely his or her own. All of this work must be done in accordance with established principles of academic integrity.

An act of academic dishonesty or plagiarism may result in failure for a project or in a course. Plagiarism involves representing another person's ideas or scholarship, including material from the Internet, as your own. Cheating or acts of academic dishonesty include (but are not limited to) fabricating data, tampering with grades, copying, and offering or receiving unauthorized assistance or information.

3) The Student Conduct Code:

Students will be held to the rules and regulations of the Student Conduct Code as described in the Lincoln University Student Handbook. In particular, excessive talking, leaving and reentering class, phones or pagers, or other means of disrupting the class will not be tolerated and students may be asked to leave. Students who constantly disrupt class may be asked to leave permanently and will receive an F.

4) The Core Curriculum Learner Competencies:

All courses offered through the Department of Mathematics and Computer Science require students to meet at least the following out of the 8 Core Curriculum Learner Competencies:

(1) Listen and effectively communicate ideas through written, spoken, and visual means;
(2) Think critically via classifying, analyzing, comparing, contrasting, hypothesizing, synthesizing, extrapolating, and evaluating ideas;

(6) Apply and evaluate quantitative reasoning through the disciplines of mathematics, computational science, laboratory science, selected social sciences and other like-minded approaches that require precision of thought;

(8) Demonstrate positive interpersonal skills by adhering to the principles of freedom, justice, equality, fairness, tolerance, open dialogue and concern for the common good.

Note:

* The instructor of a given section of the course may make some modifications to the evaluation as well as to the rest of the syllabi including but not limited to; the grade weights, number of tests, and test total points.

**The grading scale guideline includes a 2-point flexibility.

Please consult with the department chairperson for any program updates or corrections which may not be yet reflected on this page _ last updated 9/10/2007.

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