Course
Math 205 - Statistics
Instructor Gregory Mehalchick
3 credits
Credits
Summer 2012
Term
F2F: Proposed 3 or 4 out of the seven scheduled meetings
Online: All Keystone scheduled hybrid meeting dates (non-F2F dates)
Meetings
Office Hours: Each Wednesday 7 to 8 PM in Moodle
Instructor’s Contact Information
Office Phone 570-817-2925 (cell phone)
In the event of an emergency, contact Keystone Towanda Campus 570-268Emergency Contact
2900
Office Location N/A
Email Address greg.mehalchick@keystone.edu or mehalchick@comcast.net
Office Hours Each Wednesday 7 to 8 PM in Moodle.
Instructor's reserve the right to make changes to the syllabus as needed, and
Syllabus Changes you are responsible for keeping up with those changes. Please logon
regularly to Moodle to get the most current information.
I will be monitoring the discussion board and my email daily. You can
Other Information
expect a 24 hour turn around time on questions.
Course Description & Information
Online Learning Expectations: To be successful academically, online
Pre-requisites, Costudents must be able to navigate & search the internet, use email, attach
requisites, & other
and upload documents, download & save files, and have access to and use
restrictions
Adobe Reader & PowerPoint (or equivalent).
Welcome to Teaching Online-as an online student
Participation in the online environment is 100%. It is easier to track
participation and assign a grade to that participation. The course itself is
structured to present a wide variety of math topics and cover each in a less
Course Description
than in depth fashion. If a certain subject area ignites a spark in a student,
encouragement and guidance is provided to track that student to the next
best math course here at Keystone. The course should also provide a good
math foundation for those Education majors that will be required to take
math component of the Praxis exam.
Required reading will be assigned from each chapter. Reinforcement of
these reading assignments will be posted on Blackboard under the tab
Required Readings Learning Units in a PowerPoint format. The textbook is:
(dependent on course
offered) Math 205:
ELEMENTARY STATISTICS – A STEP BY STEP APPROACH –
Eighth Edition by Allan G. Bluman
Please note that the Keystone College Bookstore has the most complete and
up-to-date information about your course textbooks. Be sure you are
Buying Textbooks
purchasing the correct edition and receive all the materials you need.
Recommended Readings
There are additional books in the library for these math topics. Please use
them to help clarify any problem areas.
Special
Software/Hardware
Browser/Plugin/Viewer
Info
Other Required
Materials
No special software or hardware is required.
For standard Browser/Plugin/Viewer visit this page:
http://web.keystone.edu/library/syllabus/browser.htm
No additional materials are required.
Course Objective/Outcome
Math 205 - The course introduces each student to some basic statistical
concepts in a step-by-step fashion. Concepts will include data descriptions,
Course Objective counting techniques, probability, confidence intervals and hypothesis
testing.
Learning Outcomes (in all courses)
Participants will be able to:
Learning Outcomes
1. Identify or recognize the type of math problem or situation that is
presented to them.
2. Solve the problem using the correct math process once the type of
problem is identified.
Assignments: All assignments will be announced in advance.
Grading
Grading Criteria
Assignments
Make-Up & Late Work
Extra Credit
Class Preparation &
Participation
This course has the normal Keystone grading structure: A, A-, B+, B, B-, C+,
C, C-, D and F.
Assignments will be provided throughout the semester.
Late work will not be accepted. Make-up work will be negotiated provided
the conditions that caused the situation are valid. No discussion board
postings are accepted late.
Extra credit problems or assignments will be announced throughout the
semester. The student has the decision on whether or not to submit this work.
Class participation is encouraged and will be taken into account when final
grades are distributed.
Course Policies
Make-Up Exams Make up exams will be allowed only at the discretion of the instructor.
Special Assignments None.
Class attendance is not recorded. We meet a limited number of times and
cover much material in each class. Therefore if a class is missed, the student
Class Attendance
may suffer the consequences of missing the on-line or face to face discussions
and interactions.
Student Conduct/ For Netiquette information, visit this webpage:
Netiquette http://web.keystone.edu/library/syllabus/netiquette.htm
On-line tests are not proctored for this course. All face to face tests will
Special Procedures
naturally be proctored.
For Moodle assistance http://moodlerooms.keystone.edu/ or e-mail the
Moodle administrator at https://chat.perceptis.com/c/keystone/
Moodle Support
For a New Student Orientation to Moodle, visit:
http://www.keystone.edu/educationaltechnology/tutorials.dot
You can get technical support or assistance by visiting the Technology
Technical Support Support page here: http://www.keystone.edu/technologysupport/index.dot or
by contacting the IT Helpdesk at (570) 945-8778 or helpdesk@keystone.edu
Academic misconduct and dishonesty includes any activity that compromises
the academic integrity of the College or subverts the educational process. For
information on dishonest acts including plagiarism, cheating, and fraud,
Plagiarism & Academic
consult your Student Information Guide or click on the link below. If you
Integrity
have any questions, talk with your instructor.
http://web.keystone.edu/Library/syllabus/integrity.htm
The copyright law of the United States (Title 17, United States Code) governs
the making of photocopies or other reproductions of copyrighted materials,
including music and software. Copying, displaying, reproducing, or
distributing copyrighted works may infringe the copyright owner’s rights and
such infringement is subject to appropriate disciplinary action as well as
criminal penalties provided by federal law. Usage of such material is only
Copyright Notice
appropriate when that usage constitutes “fair use” under the Copyright Act.
As a Keystone College student, you are required to follow the College’s
copyright policy. For more information about the fair use exemption, see the
Miller Library’s copyright page:
http://web.keystone.edu/library/copyright.html
Keystone College states that all official student email correspondence be sent
only to a student’s Keystone email address and that faculty and staff consider
email from students official only if it originates from a Keystone account.
Email Use This allows the College to maintain a high degree of confidence in the
identity of all individuals and the security of transmitted information.
Keystone College furnishes each student with a free email account that is to
be used in all communication with College personnel.
The College has set deadlines for withdrawing from courses. These dates and
times are published in the course catalog and on the Academic Calendar. It is
the student's responsibility to handle withdrawal requirements from any class.
Withdrawal from Class You must do the proper paperwork to ensure that you will not receive a final
grade of "F" in a course if you choose not to attend once you are enrolled. If
you are considering withdrawing from a class, talk with your Advisor and
consult the College Catalog.
Procedures for student grievances are found in the College Catalog. Please
consult the procedures before taking action.
Academic Grievance
Please note: The first step in attempting to resolve any student grievance
Procedures
regarding grades, evaluations, or other fulfillments of academic
responsibility, is to make a serious effort to resolve the matter with the
instructor. The College Catalog outlines any subsequent steps.
COURSE CALENDAR AND SCHEDULE OF ASSIGNMENTS
MATH 205 - Statistics
MODULE DATE AND TOPIC
TOPICS TO BE COVERED
Weekender Session I
(Face to Face)
Chapter 1: The Nature of Probability and Statistics
Weekend 1 – Session 1 (3 hrs)
Weekend 1 – Session 2 (3 hrs)
1.1
1.2
1.3
1.4
1.5
Descriptive and Inferential Statistics
Variables and Types of Data
Data Collections and Sampling Techniques
Observational and Experimental Statistics
Uses and Misuses of Statistics
Chapter 2: Frequency Distributions and Graphs
2.1
Organizing Data
2.3
Histograms, Frequency Polygons and Ogives
2.4 Other Types of Graphs
Weekender Session II
(On-Line)
Chapter 3: Data Descriptions
3.1 Measures of Central Tendency
3.2 Measures of Variation
3.3 Measures of Position
On-Line Virtual Class (using Adobe
Connect):
Weekend 2 – Session 3 (3 hrs)
Weekend 2 – Session 4 (3 hrs)
Weekender Session III
(Face to Face)
First Announced Test: 1 hour
Chapter 4: Probability and Counting Rules
Weekend 3 – Session 5 (3 hrs)
Weekend 3 – Session 6 (3 hrs)
4.1
4.2
4.3
4.4
4.5
Sample Spaces and Probability
The Addition Rules for Probability
The Multiplication Rules and Conditional Probability
Counting Rules
Probability and Counting Rules
Chapter 5: Discrete Probability Distributions
5.1 Probability Distributions
5.2 Mean, Variance, Standard Deviation and Expectation
5.3 The Binomial Distribution
Weekender Session IV
(On-Line)
On-Line Virtual Class (using Adobe
Connect):
Weekend 4 – Session 7 (3 hrs)
Weekend 4 – Session 8 (3 hrs)
Weekender Session V
(Face to Face)
Chapter 6: The Normal Distribution
6.1
6.2
6.3
6.4
Normal Distributions
Applications of the Normal Distribution
The Central Limit Theorem
The Normal Approximation to the Standard Distribution
Second Announced Test: 1 hour
Chapter 7: Confidence Intervals and Sample Size
Weekend 5 – Session 9 (3 hrs)
Weekend 5 – Session 10 (3 hrs)
Weekender Session VI
(On-Line)
On-Line Virtual Class (using Adobe
Connect):
Weekend 6 – Session 11 (3 hrs)
Weekend 6 – Session 12 (3 hrs)
Weekender Session VII
(Face to Face)
Weekend 7 – Session 13 (3 hrs)
Weekend 7 – Session 14 (3 hrs)
Finals Weekender
7.1
7.2
7.3
7.4
Confidence
Confidence
Confidence
Confidence
Intervals
Intervals
Intervals
Intervals
for the Mean when  Is Known
for the Mean when  Is Unknown
and Sample Size for Proportions
for Variances and Standard Deviations
Chapter 8: Hypothesis Testing
8.1
8.2
8.3
8.4
8.5
8.6
Steps in Hypothesis Testing – Traditional Method
Z Test for a Mean
t Test for a Mean
z test for a Proportion
X2 Test for a Variance or Standard Deviation
Additional Topics Regarding Hypothesis Testing
Third Announced Test: 1 hour
Chapter 9: Testing the Difference Between Two Means, Two Variances
and Two Proportions
9.1 Testing the Difference between
9.2 Testing the Difference between
Samples: Using the t Test
9.3 Testing the Difference between
9.4 Testing the Difference between
9,5 Testing the Difference between
Final Exam
Two Means: Using the z Test
Two Means of Independent
Two Means: Dependent Samples
Proportions
Two Variances
The final grade will be the average of the three hourly tests and the final exam. The final exam is equivalent to
two hourly tests. The grade will be based on the following:
Grade
A
AB+
B
BC+
C
CD
F
Average
90 to 100
87 to 89
84 to 86
80 to 83
77 to 79
74 to 76
70 to 73
67 to 69
60 to 66
less than 60