221 21 - Statistical Analysis Syllabus - Winter 2013

8/12/2019 221 21 - Statistical Analysis Syllabus - Winter 2013

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221.21 Statistical Analysis 1 of 3

Dr. Yinka Bammeke, Providence University College, MB., Canada

221.21 STATISTICAL ANALYSIS (3 Credit Hours)

SYLLABUS

Professor:Dr. Yinka Bammeke

Phone: (204) 433-7488 (ext 290)

Office hours*: Class Schedule:*

*See Dates and Times section on last page of this syllabus for semester-specific office hours & class schedule

COURSE DESCRIPTION

This course is a university-level introduction to the basic principles and practices of descriptive and inferential statistics

with applications to business, the behavioral sciences, Arts and Sciences and everyday life. It covers statistical analysis

methods for designing data production, gathering data, displaying/describing and summarizing data, examining

relationships between variables, and interpreting data. It is similar to U of Ms STAT 1000, transferable for credit at the U

of M for a very wide variety of programs and may be transferable at other universities too.

COURSE OBJECTIVE

The primary objective of this course is for the student to develop:

Competency in performing statistical analysis in their field, and applying it as a consumer of data,

Critical thinking skills in assessing and interpreting data and drawing conclusions from it, and

Christian character in using statistics in an honest, accurate and transparent manner.

COURSE REQUIREMENTS

Classes:Classes will be held on the dates specified in the schedule section of this syllabus.

Homework: If you really wish to learn, then you must mount the machine and become acquainted with its tricks by actual

trial Wilbur Wright. Therefore, a set of problems is assigned in the notes. In order to succeed you will have to workthrough the assigned problems and much more as (a) this is the only way you can reinforce what you have learned in class,

and (b) the exams are based on problem sets similar (not identical) in nature to the ones in the text. Students are reminded of

the University Colleges standard requirement of two hours outside of class for each hour in class, which implies an

average of about five-hours per week study time for every 3credit hour course. It is particularly important to allow sufficient

study time for this course as this is not a course that can be crammed together in a few sittings; it is a problem-solving

course and therefore requires constant problem-solving to reinforce what is learned in the class.

Mini Projects:There will be three mini projects. The due date for each project is indicated in the schedule. Late submission

is subject to a penalty of 10% of the project mark per day. Any project that is more than a week late would be rejected and

the student assigned 0% for that project. It is expected that the student will begin work on the various aspects of each mini

project as the material related to it is covered in the class.

Mid-semester exam:The 1.25hour mid-semester exam will be held on the date specified in the schedule during regular

class time. Please ensure you have your name and student number on your papers.

Fi nal Exam:The final exam is a two-hour exam and would be held during the University College`s exam week, please see

the University College exam schedule to confirm exact date and time.

Missed Exams:The general University College rules regarding rescheduling exams apply (for details, see the Colleges

Early Leave Policy in the College catalogue). Please note that the professor for this course would consider rescheduling

missed mid-term or final exam only under very exceptional circumstances (such as certified illness or bereavement, and

other reasons that the University College normally accepts for missed exams). For those in College-sponsored activities, a
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request for rescheduling would be considered only if it is made at least a week in advance and the request is accompanied

with engagement schedule signed by the University Colleges director of the activity. Failure to request a make -up exam

within a day (or with at least a weeks notice in the case of pre -approved College activities) of the exam may result in

ineligibility for a make-up exam and a mark of zero for that exam. Make-up exams are, by design, more difficult than

regular exams in order to ensure fairness to those sitting the regular ones.

Calculators:Agraphingorprogrammablecalculator is neither needed for this course nor permitted for exams.

Class Attendance Poli cy:Statistics is not the type of subject that you can afford to miss a class, and there isn`t the time to

re-teach a chunk of the course. Five percent of the total course mark is assigned for attendance and participation; and

absenteeism or late will result in loosing part or all of the 5% mark. Please note that leaving the class early can be disruptive

to others. Therefore, any student who has a legitimate reason for leaving the class early should inform the professor by the

beginning of that days class.

Student use of information and communication technologiesfor purposes other than class note-taking and/or class-

related statistical processing is not allowed in the classroom, as students are expected to give their total attention to class

activities. Use of cell-phones, ipads, ipods etc is never appropriate in the classroom, and use of technology to play games,

interact with others, browse the internet, or engage material not related to this class is always distracting to classmates and

disrespectful to the professor and classmates. Unlike some other post-secondary institutions, Providence has not yet found

it necessary to ban laptops from the classroom, or prevent wireless internet access in classrooms. Only judicious use of

them will keep it that way.

REQUIRED TEXTs1. Moore, D. S., Notz, W. I., and Fligner, M. A. (2013). The Basic Practice of Statistics(6 thedition). New York: W.

H. Freeman and Company. ISBN 978-1-4641-0254-7

2. Bammeke, Y., (2013). Statistical Analysis Class Note. Otterburne: Providence University College BookstoreBoth texts are very essential tools to success in this course, and are available in the Providence bookstore.

GRADING SUMMARY and SYSTEM

Grading Summary: The final grade for the course will be based on:

Three Mini Projects 45% (3x15%)

Mid-semester Exam 20%

Final Exam 30%

Attendance & Participation 5%Total 100%

Grading System: Term marks (in percentages) would be described with the following nomenclatures.

Percentage Grade GPA Description

93% A+ 4.0 Exceptional

80-92% A 4.0 Excellent

77-79% B+ 3.5 Very Good

70-76% B 3.0 Good

67-69% C+ 2.5 Satisfactory

60-66% C 2.0 Adequate

50-59% D 1.0 Marginal

< 50% F 0.0 Failure

ACADEMIC CONDUCT

Plagiarism (i.e. passing off someone elses work as ones own), and Cheating(i.e. dishonest or attempted dishonest

academic practice during tests or exams or in the preparation of other course work) are serious offenses subject to academic

penalties and other disciplinary measures. All allegations, or resemblance, of plagiarism or cheating will be investigated.

Where aprima faciecase of plagiarism or cheating is established, the University College authority will be notified for

further investigations and actions. A student found guilty of plagiarism or cheating may lose part or all of the term marks for

the course, and may face other penalties. Please see the University Colleges Academic Policies, Procedures, and


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Regulations (http://www.providencecollege.ca/college/student_life/)section of the handbook to acquaint you with the

details about the Colleges policy on plagiarism and cheating and the associated penalties.

DATES and TIMES

COURSE SCHEDULE and PROFESSORs OFFICE HOURSCourse Schedule: Mondays (11:10am-12:25pm) and Thursdays (11:10am-12:25pm)

Office Hours: Mondays (12:30p-3:00p) and Thursdays (12:30p-3:00p)

There will be no classes on January 31 (Missio Dei), February 18 (Louis Riel Day), and March 4-8 (Reading Week).

Remember also Day of Prayer(January 22), and Good Fri day(March 29)

FEEDBACKAlthough there is an opportunity for a formal evaluation of the course at the end of the term, please note that I invite and

welcome your comments and feedback regarding the pace and delivery of the course, while the train is moving
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221 21 - Statistical Analysis Syllabus - Winter 2013

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