Download Math 135 Lackawanna - Lackawanna College

Math 135 –
Introduction
to Statistics
and Data
Analysis
Anne Butler
Phone
404-234-3797
Office
New Milford
E-mail
[email protected]
Office
Hours
To be arranged
Coursecompass
id
butler92203
Text:
TITLE:Statistics (w/Access Code)
AUTHOR:Sullivan
EDITION:4th
COPYRIGHT YEAR:2013
PUBLISHER:Pearson Education
ISBN:9780321837738
Description:
Introductory Statistics and Data Analysis This course introduces descriptive and inferential statistics
with an emphasis on techniques and applications to real-world situations. Topics include
descriptive statistics, statistical distributions, confidence intervals, hypothesis testing, contingency
tables, regression, and correlation (3 credits). Prerequisite: College Algebra or Mathematical
Reasoning. Prerequisite: MAT 115 or MAT 120.
Objectives:
1.
To develop quantitative skills necessary for analyzing and summarizing data.
2.
To gain a working knowledge of descriptive statistical methods and their applications.
3.
To develop an understanding of probability and probability distributions, particularly the
normal distribution.
4.
To acquaint students with the concept of hypothesis testing and to distinguish between
descriptive and inferential statistics.
5.
To acquaint students with graphical techniques and the statistical methods used to
analyze relationships between variables.
6.
To enable students to realize that statistics is fun!
7.
To define statistics, discuss data types, contrast qualitative and quantitative data, and
examine common applications of data analytical methods using real-world examples and
data.
8.
To develop procedures for listing and grouping quantitative data, both in tabular and
graphical formats.
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9.
To present basic descriptive statistical measures of location (mean, median, mode) and
variability (range, variance, standard deviation).
10. To introduce the concept of probability and probability distributions, including the binomial
and normal distributions.
11. To illustrate the concept of random samples and sampling distributions (of the mean) as a
transition from descriptive and inferential statistics.
12. To distinguish between a sample and a population.
13. To calculate point and (confidence) interval estimates of the mean of a sample.
14. To present methods for hypothesis testing of differences between means (one and two
sample populations).
15. To present methods for analyzing enumeration data, as opposed to measurement data.
16. To describe (via calculation and graphs) statistical relationships between two variables.
Requirements:
There will be one project
Evaluation:
Homework – 30%
Quizzes – 20%
Exams – 30%
Project – 20%
Attendance Policy:
Students enrolled in credit-bearing courses at Lackawanna College will fail any course(s) in which
they accumulate absences beyond the maximum number allowed. This pertains to online classes
as well. Attendance is tracked by instructors, so be sure to log on and adhere to the following
scale:
# of Times Class Meets
Maximum # of Absences Allowed
3 times a week
6
2 times a week 4
4
1 time a week 2
2
Developmental Classes
3
DE 010, DE 020, DE 030
Withdrawal Policy:
A student has the privilege of withdrawing from any courses or from the College itself without
academic penalty up to and including the final date for withdrawal indicated on the College
calendar.
To withdraw officially from a course or from the College, a student must obtain the proper
withdrawal form from the Student Affairs Office or from your Center Director, complete this form
and submit it to the Registrar's Office before the final day for withdrawal without academic penalty
as indicated on the College calendar. If a student should stop attending or never attend an
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enrolled class or classes without officially withdrawing prior to the last day to withdraw without
academic penalty, the student will receive a grade of F* (Failure) in these courses. No exceptions
will be made.
Students who violate the College's Academic Integrity Policy and fail a course in consequence
may not exercise the withdrawal privilege in that particular course.
Financial obligations to the College will be determined according to the Refund Policy.
Instructor Policies
All homework, quizzes, and exams will be done online using the mylabandmastering web-based
tool of Pearson education. This tool also provides the StatCrunch tool that students will use to do
required calculations for the assignments.
The assignments, along with this syllabus, will be posted on Portal. Description and rubrics for the
project will also be available there.
From time to time, e-mail will be sent through portal. Students are responsible for checking portal
and their e-mail periodically for these announcements.
Grading:
[Add your course assignments and grade designations along with Lackawanna College’s grading
scale here. Also, add your rubrics here.]
Letter Grade
Numeric Range
Quality Points
A
96 – 100
4.0
A-
90 – 95
3.67
B+
87 – 89
3.33
B
83 – 86
3.0
B-
80 – 82
2.67
C+
77 – 79
2.33
C
73 – 76
2.0
C-
70 – 72
1.67
D+
67 – 69
1.33
D
60 – 66
1.0
F
0 – 59
0
Due Dates and Late Penalties:
o
The grace period for late assignments is as follows:

1 day late-10% deduction off of the assignment grade

2 days late-20% off of the assignment grade

3 days late-the assignment will receive a grade of 0%
Academic Integrity
Academic dishonesty in any form, such as plagiarism and cheating, will not be tolerated.
Sanctions will include an automatic F for plagiarism, but the severity or frequency of the violation
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may result in dismissal from the College as well. Please see the Student Handbook for a complete
explanation.
The following are among the forms of dishonesty for which sanctions may be applied:

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Using books, notes or other materials during an examination, unless expressly permitted;
Using purchased essays, term papers or preparatory research for such papers;
Copying others' work or engaging in unauthorized cooperation during an assignment or
examination;
Allowing another student to copy from an examination or other assignment intended to be
performed independently;
Borrowing from published works, whether material is taken verbatim or with minor
alterations, without proper and/or sufficient acknowledgment;
Submitting as one’s own work originally done by someone else;
Submitting the same written report in more than one course without prior approval from
the instructor(s) involved;
Stealing examinations or assignments;
Supplying or selling examinations or assignments;
Misrepresenting statements concerning work submitted;
Falsifying or fabricating experimental data or results;
Falsifying or fabricating the need for extensions on papers or make-up examinations.
(Please see student handbook for more information)
Disability Statement

Lackawanna College is an Affirmative Action, Equal Employment Opportunity institution.
Students with disabilities and other needs should feel free to contact the instructor
privately if there are services and adaptations which can be made to accommodate
specific needs. Students who are having difficulties with class material are strongly
advised to seek assistance in the reading and writing lab. If you feel that
you have a disability that has not been formally documented, you may meet with Ms.
Deborah Hartzell in the academic development office to discuss your options.
Equal Opportunity Statement:

Lackawanna College will not discriminate in its educational programs, activities or
employment practices based on race, color, national origin, sex, sexual orientation,
disability, age, religion, ancestry, union membership or any other legally protected
classification. Announcement of this policy is in accordance with State law, including the
Pennsylvania Human Relations Act, and with Federal law, including Titles VI and
the Civil Rights Act of 1964, Title IX of the Education Amendments of 1972, Sections 503
and 504 of the Rehabilitation Act of 1973, the Age Discrimination Act of 1975, and the
Americans with Disabilities Act of 1990. Inquires should be directed to Dr. Gail Scaramuzzo,
Affirmative Action Officer 961-7848
Portfolio and Coursework
Lackawanna College will empower you to experience learning by inspiring your critical thinking,
accessing your talents and skills, motivating you toward a career choice, and encouraging you to
make a difference. In evidence of this learning, the College requires a graduation portfolio
containing Career Documents, including a résumé, two letters of recommendation, and a career
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exploration; Core Coursework, including a research paper from College Writing; three sample
papers or projects from Major Coursework; and a Lackawanna College Reflection Paper.
Course Schedule for Statistics – Math 135 Lackawanna – Fall 2012
Date
8/27
9/17
Assignment Due
Register for
mylabandmastering– id is
BUTLER92203; url is
www.mylabandmastering.com
Labor Day Holiday
Send mail to instructor using
Mylabandmastering; practice
using mylabandmastering and
StatCrunch
HW for 1.1-1.5
9/24
HW for 2.1-2.2
10/1
HW 2.3-2.5
10/8
10/15
Columbus Day - Holiday
HW 3.1-3.3
10/22
HW for 3.4-3.5
10/29
HW for 6.1-6.3
11/5
HW for 7.1-7.3
11/12
11/19
Veterans Day - Holiday
HW for 8.1-8.2
11/26
12/3
Ch 9
Exam 2 – Ch 3.4- 9
Project Due
9/3
9/10
Topics
Intro to coursecompass and
StatCrunch
Book Section
1.1 and 1.2
Statistical definitions; sampling
techniques, bias
Ch 1.3-1.5
Quantitative data summaries
and displays
Graphs- bar, histogram,
frequency polygon, stem and
leaf plots, ogives
Numeric representation of data
– mean, median, mode,
variance and standard
deviation, empirical rule and
Chebychev’s
Ch 2.1-2.2
Quiz on ch 1
Ch 2.3-2.5
Grouped data, measures of
position, outliers, quartiles, IQR
Ch 3.4-3.5
Exam 1- Ch 13.3
Ch 5, 6.1-6.3
Quiz on Ch 3
Ch 7.1-7.3
Quiz on Ch
5/6
Ch 8.1-8.2
Probability and Discrete
probability Distribution
Normal Distribution
Sample Distributions and
confidence intervals
Hypothesis testing
Review
Examinations:
There will be two exams, in class.
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Ch 3.1-3.3
Quiz on Ch 2
Ch 9
Quiz on Ch 7
&8