Northern Essex Community College
Haverhill, MA 01830
MAT125 Statistics
Fall 2014
Instructor: Jiri (George) Kucera
Office Location:
C304P
Office Hours: MW 3-4, TR 10-12
Office Phone:
978.556.3301
Cancellation Announcements:
978.556.3002
Email Address: jkucera@necc.mass.edu
NOTE:
Appointments that are mutually agreeable may be arranged by email for interaction within Blackboard or in person. I am
here to help you with this course and to make this an enjoyable and worthwhile experience.
COURSE DESCRIPTION:
4 credits; 4 lecture hours
Proficiency Requirements: College Reading
Prerequisites: C or better in MAT120 College Algebra or by placement score
Electives: Satisfies Liberal Arts, Open, Mathematics
Description: This is a project-based introductory course in descriptive and inferential statistics. Methods of descriptive statistics
include frequency distributions, common measures of central tendency and variability, elementary concepts of probability, and certain
probability distributions such as the normal and binomial. Methods of inferential statistics include the Central Limit Theorem,
confidence intervals and hypothesis testing for both large and small samples, and correlation and regression analysis. A project and a
computer lab component are incorporated. The TI-83, TI-83 Plus, or TI-84 Plus graphing calculator is required.
REQUIRED MATERIALS:
Textbook:
Elementary Statistics, 12th Edition, by Mario F. Triola, Pearson, 2014. Also required is the MyMathLab Student Access
Kit or MyMathLab access code (packaged with the textbook and available at the college bookstore).
Calculator:
In needing a graphing calculator with statistical capabilities to analyze and display data, in class and online there are
specific instructions with respect to the required TI-83/TI-83 Plus/TI-84 Plus graphing calculator. If you have another
type of graphing calculator, you will be responsible for its use in performing statistical analysis. Make sure you have the
user's manual. See instructor for suggestions.
COURSE OBJECTIVES/STUDENT LEARNING OUTCOMES:
Students will have the opportunity to develop knowledge and/or skills concerning the ability to:
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3.
4.
5.
6.
7.
8.
9.
10.
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decipher and explain information presented in mathematical forms such as graphs, diagrams, or tables
convert relevant information into various mathematical forms such as graphs, diagrams, or tables
interpret and evaluate statistical data or other quantitative data
use quantitative information to support assertions and/or to solve real world problems
successfully perform calculations required to solve a given problem
compute and interpret measures of central tendency and dispersions
compute the probabilities of simple, complementary, independent, conditional and mutually exclusive events
construct and interpret the probability distribution of a discrete random variable and calculate its mean and standard
deviation
compute the probabilities of events in a binomial experiment; calculate the mean and standard deviation of the
binomial distribution
determine probabilities and frequencies of events in a normally distributed population
calculate the mean and standard deviations of a sampling distribution and determine probabilities concerned with the
mean of a sample in the application of the Central Limit Theorem
calculate confidence intervals to make inferences about the mean or proportion of a population
perform tests of hypothesis by classical and p-value methods on the mean and proportion of a population using a large
or small sample size
calculate and interpret the coefficient of correlation and the linear regression equation for bivariate data
construct a confidence interval for the variance and standard deviation and test whether a frequency distribution fits an
expected distribution utilizing the Chi-Square probability distribution
conduct a data search
analyze data using a graphing calculator and statistical software package(s)
write and present a project utilizing concepts learned in class
COURSE REQUIREMENTS:
Statistics and the Computer:
At the end of each chapter are small projects that utilize some form of technology. For certain specified chapters, the Technology
Project and a From Data to Decision exercise from that chapter constitute a required MiniProject for this course. These small projects
provide students additional insight into the way technology is used to handle large data sets or complex real-life questions. You may
use the software EXCEL, STATCRUNCH, or STATDISK. There are menu commands placed appropriately throughout your textbook
as well as an EXCEL Student Laboratory Manual and Workbook that is available online within MyMathLab to help you with these
computer assignments. The other two statistical software applications are available within MyMathLab and/or on the CD that came
with your textbook if you purchased it. They are STATDISK (available within Tools for Success under the menu bar in MyMathLab,
and Statcrunch (available under the menu bar in MyMathLab, or within Tools for Success as noted above). STATCRUNCH has
help online at their website and STATDISK has a technology manual available within Tools for Success.
( Statistics Project:
During the semester, students will be required to submit a semester-long project utilizing technology in the application of the concepts
involved with the course objectives. This project will include data searches and analysis of the data using graphing calculators and/or
software such as WORD and/or EXCEL or perhaps either of STATDISK or STATCRUNCH. The project segments spiral throughout
the course with increasing sophistication. At the end of the semester students will synthesize the segments into a portfolio and oral
presentation with charts, graphs and statistical analysis. )
ATTENDANCE:
Attendance is mandatory. Students are expected to attend each meeting of each class in which they are
enrolled. The instructor reserves the right to assign a grade of "NP" to anyone missing more than three hours
of lecture or to any student who is unlikely to pass due to missed exams or assignments. The class instructor
has full and final authority to decide whether a student is permitted to make up work missed through absence,
and on what terms. If a student is absent from class, he/she is responsible for the material covered, as well as
any announcements made at that time (Please consult the Academic Advising Handbook).
STUDENT RESPONSIBILITIES:
All students are expected to take an active role in their learning. Notes should be taken in every class and
studied before assigned problems are attempted. Homework, though not necessarily collected, should be
done immediately after each class session. For every hour spent in the classroom, two hours of
homework/studying are expected. Difficulties with a particular assignment should be taken care of before the
next scheduled class session. (Drop by the Math Department, the Math Center (C201), My goal is to help you
have a successful semester and your active participation is a necessary step towards achieving that goal.
ACADEMIC ETHICS AND PLAGIARISM:
The college expects all students to maintain high standards of academic honesty and integrity. Plagiarism in
any form is not to be tolerated. Plagiarism is defined by the college to be the use of any person's work or ideas
as though the work or ideas were your own, without giving the appropriate credit (Please consult the Academic
Advising Handbook). Any student found in violation of this policy may be given an F for the course.
METHODS OF INSTRUCTION:
This course is designated as a Quantitative Reasoning (QR) Intensive course. As such, you will find the
quantitative-intensive nature of this course noted in the Course Objectives and Learning Outcomes above. A
schedule of QR activities and assignments are noted in the Topical Outline and list of Projects below.
Methods of instruction will include lecture, use of calculators, peer sharing, demonstrations, and modeling.
Class will generally begin with questions from the students. Students may be asked to try a problem similar to
a homework example to check their understanding. An overview of new material will then be presented with
students being asked to participate in the development.
Tardiness/Leaving Early:
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.
Responsibility for Missed Work:
If you miss a class, you are responsible for getting the assignment. It is, therefore, advantageous for you to
share contact information with your classmates or to form study groups. Being absent from a class does not
excuse you from any assignments or tests that may occur at the next class meeting.
Grading:
Homework/Quizzes:
The online homework exercises and Quizzes are assigned via MyMathLab. You can attempt those homework
exercises an unlimited number of times. Homework exercises help you to master the concepts and prepare
you to take the quizzes. Students are allowed to get help on these exercises.
Students can re-take a quiz up to three times; the best score will be recorded. No make-up quiz given for any
reason.
Your Course Name: MAT125 (STAT)
Your Course ID: kucera11978
Exams:
There will be five In-class Exams, required projects 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. No make-up tests. There will be no make-up tests given for any reason. If
you miss a test, the final exam grade will count in place of it. Any student who has not taken at least four
tests during the semester will receive a grade of “F” in the course. The grade for the course will be computed
as follows:
( Exams:
35%
Final Exam:
10%
Quizzes:
20%
Homework:
20%
Project
15% At least two projects
100% )
NECC Grading System
Grade
A
AB+
B
BC+
C
CD+
D
F
Quality Points
4.00
3.70
3.30
3.00
2.70
2.30
2.00
1.70
1.30
1.00
0.00
Numeric Range
93-100
90-92
87-89
83-86
80-82
77-79
73-76
70-72
67-69
60-66
59 or less
The following grades do not affect a student’s grade point average:
W
NW
Withdrawal from course by student within Period 2 (please consult the Academic Advising Handbook or Academic
Calendar)
Student is withdrawn (NP'd) by instructor (please consult the Academic Advising Handbook or Academic Calendar)
Information/services for students with documented disabilities:
“Please feel free to discuss this resource with me or contact the appropriate office below.”
Learning Accommodations Center:
Visit us in the Student Center SC111, call (978) 556-3654,
or email us lacenter@necc.mass.edu
Deaf and Hard of Services:
Visit us in the Student Center SC110, call 978-241-7045 (VP/Voice),
or email deafservices@necc.mass.edu
Students please note: If you have been approved for testing accommodations through the Learning Accommodations
Center, remember to discuss with your instructor in advance.
DELAYED OPENING/LATE START:
If a delayed opening is announced over the television or radio, the classes scheduled before the delayed start time are
cancelled. Classes beginning after the start time are held. Please contact the School Announcements number at (978) 5563002 or (978) 556-3003 [TTY] for further information.
NECC OUTCOMES ASSESSMENT NOTE FOR STUDENTS:
Northern Essex Community College’s commitment to student success involves the evaluation of student work to help ensure that
students are achieving the learning outcomes identified by our programs and the college. This process may involve the collection of
student classroom products for evaluation at the program, department, and/or college levels. When collected for this purpose, students’
names will be removed from the products so that the assessing is done anonymously. Evaluations carried out at the program,
department, and/or college levels will not impact students’ course grades. The process of assigning grades will continue to be the
responsibility of the course instructor.
Instructor's Note: The
instructor reserves the right to make changes to this syllabus at any time during the
semester. A new syllabus may or may not be distributed at the discretion of the instructor.
TOPICAL OUTLINE AND SUGGESTED PROBLEMS
Statistics MAT125
Suggested Problems are from your textbook
Similar problems are available within the Study Plan in MyMathLab
Both the Suggested Problems and the Study Plan problems are NOT for credit
Unless otherwise noted, every other odd problem suggested, i.e., 1, 5, 9, 13, 17, 21, 25… and MML means MyMathLab
Homework in MyMathLab is required for credit and is based on these Suggested Problems.
Weeks
1
2&3
Section
1.1
1.2
1.3
1.4
1.5
2.1
2.2
2.3
2.4
2.5
Topic
Review and Preview
Statistical Thinking
Types of Data
Critical Thinking
Collecting Sample Data
Review and Preview
Frequency Distributions
Histograms
Statistical Graphics
Critical Thinking: Bad Graphs
Suggested Problems
pp. 9-10: 1-17 odd
pp. 16-17: 1-27 odd
pp. 23-24: 1-19 odd
pp. 34-36: 1-25 odd
pp. 52-54:
pp. 57-68:
pp. 67-70:
pp. 73-74:
1-25 eoo
1-17 eoo
1-25 eoo
1-9 odd
EXAM #1 (Chapters 1 & 2)
3&4
5&6
3.1
3.2
3.3
3.4
4.1
4.2
4.3
4.4
4.5
4.6
4.7
Review and Preview
Measures of Center
Measures of Variation
Measures of Relative Standing and Boxplots
Review and Preview
Basic Concepts of Probability
Addition Rule
Multiplication Rule: Basics
Multiplication Rule: Complements and Conditional Probability
Probabilities Through Simulations
Counting
pp. 94-97: 1-29 eoo
pp.109-113: 1-33 eoo
pp. 126-128: 1-29 eoo
pp. 147-150:
pp. 156-158:
pp. 167-170:
pp. 175-176:
pp. 181-183:
pp. 189-190:
1-33 eoo
1-33 eoo
1-29 eoo
1-21 eoo
1-15 odd
1-21 eoo
pp. 214-217:
pp. 225-228:
pp. 231-234:
pp. 238-239:
1-29 eoo
1-41 eoo
1-19 eoo
1-15 odd
pp. 261-263:
pp. 271-274:
pp. 285-286:
pp. 295-297:
1-49 eoo
1-29 eoo
1-13 odd
1-15 odd
EXAM #2 (Chapters 3 & 4)
7&8
9 & 10
5.1
5.2
5.3
5.4
5.5
6.1
6.2
6.3
6.4
6.5
Review and Preview
Random Variables
Binomial Probability Distributions
Mean, Variance, and Standard Deviation for the Binomial
Distribution
The Poisson Distribution
Review and Preview
The Standard Normal Distribution
Applications of Normal Distributions
Sampling Distributions and Estimators
The Central Limit Theorem
EXAM #3 (Chapters 5 & 6)
11 & 12
7.1
7.2
7.3
7.4
7.5
Weeks
Section
13
8.1
8.2
8.3
8.4
8.5
Review and Preview
Estimating a Population Proportion
Estimating a Population Mean: σ Known
Estimating a Population Mean: σ Not Known
Estimating a Population Variance
pp. 339-343:
pp. 351-353:
pp. 365-368:
pp. 377-379:
Topic
Review and Preview
Basics of Hypothesis Testing
Testing a Claim about a Proportion
Testing a Claim about a Mean: σ Known
Testing a Claim about a Mean: σ Not Known
1-45 eoo
1-25 eoo
1-29 eoo
1-21 odd
Suggested Problems
pp. 409-411:
pp. 420-423:
pp. 429-431:
pp. 439-441:
1-41 eoo
1-29 eoo
1-17 eoo
1-25 eoo
EXAM #4 (Chapters 7 & 8)
14
15
10.1
10.2
10.3
10.4
11.1
11.2
Review and Preview
Correlation
Regression
Variation and Prediction Intervals
Review and Preview
Goodness-of-Fit
pp. 530-534: 1-25 eoo
pp. 547-550: 1-25 eoo
pp. 557-559: 1-19 odd
pp. 593-596: 1-17 eoo
EXAM #5 (Chapter 10)
Review for Comprehensive Final Examination
Comprehensive Final Examination
TECHNOLOGY ASSIGNMENTS: MiniProjects
These assignments are in your textbook.
To be submitted electronically by the end of the semester deadline.
See posted files in Blackboard for more details.
Please note there are two parts to each Chapter MiniProject.
Chapter
MiniProject
Page
2
Technology Project
From Data to Decision: Critical Thinking
p. 76
p. 76
3
Technology Project
From Data to Decision: Critical Thinking
p. 129
p. 130
4
Technology Project
From Data to Decision: Critical Thinking
p. 190
p. 192
5
Technology Project
From Data to Decision: Critical Thinking
p. 240
p. 240
6
Technology Project
From Data to Decision: Critical Thinking
p. 319
p. 320
7
Technology Project
From Data to Decision: Critical Thinking
p. 376
p. 377
8
Technology Project
From Data to Decision: Critical Thinking
p. 437
p. 438
MyMathLab
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My Math Lab is an interactive website where you can:
 Self-test & work through practice exercises with step-by-step help to improve your
math skills.
 Study more efficiently with a personalized study plan and exercises that match
your book.
 Get help when YOU need it. My Math Lab includes multimedia learning aids,
videos, animations, and live tutorial help.
Before You Begin:
To register for My Math Lab, you need:
 A My Math Lab student access code (packaged with your new text, standalone at your bookstore, or
available for purchase with a major credit card at www.pearsonmylab.com)
 Your instructors’ Course ID:
kucera11978
 A valid email address:
Student Registration:
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 Under Register, click Student.
 Enter your Course ID exactly as provided by your instructor and click Continue. Your course information
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