MATH 110 Introduction to Statistics
3 credits
Prerequisites: Algebra proficiency required (high-school algebra 2 or a college
equivalent)
Instructor: Matthew Dodd, MS
H. Elaine Frey, MA
Laurie Key, MS
Nick Lagios, MS, MBA
Contact Information: Faculty may be contacted through the Portage messaging
system
Additional Information: www.portagelearning.com*
Course meeting times: MATH 110 is offered continuously
Course Description: A general introduction to mathematical statistics as a tool
used in the decision-making process. The course is designed to help students
develop an understanding of summarized data in both descriptive and inferential
statistical applications through the use of frequency distributions, measures of
central tendency, measures of dispersion, probability distributions, random
sampling, interval estimation, hypothesis testing, comparisons involving means,
and regression analysis.
Course Outcomes: As a result of this course experience a student should be
able to explain:
• The difference between qualitative and quantitative data, be able to organize the data and
present a meaningful overview of the data through the use of frequency distributions,
measures of central tendency (i.e. the mean, median and mode) and measures of
dispersion (i.e. the variance, standard deviation and coefficient of variation)
• The rules involved in developing outcome probabilities and how to apply the appropriate
counting methods in the development of the probabilities of outcomes in an experiment.
• The difference between a discrete probability distribution and a continuous probability
distribution.
• The concepts involving random sampling, the sampling distributions of x-bar (𝑥̅) and p-bar
(𝑝̅) and other methods.
• The null & alternative hypothesis in classical hypothesis testing along with type I and II
errors; onetailed & two-tailed testing involving populations and both large & small samples.
• Linear regression analysis and lines of best fit.
*Please see the Module Topics section below for expanded course outcomes.
1.
, lOMoARcPSD|64492663
*
Portage Learning college courses are offered by Geneva College, which is regionally accredited by the Middle States Commission on
Higher Education. Portage Learning is included in the College’s Department of Professional and Online Graduate Studies; courses are
delivered through the PortageLearning.com platform.
Each of these MATH 110 student learning outcomes is measured:
Directly by: (1) Module application problems (with instructor feedback)
(2) Module exams
(3) Cumulative final exam
Indirectly by an end of course student-completed evaluation survey
Course Delivery: This course is asynchronously delivered online. Contact hours include 40 - 50 hours of
reviewed module assignments with instructor feedback. There are 15 additional contact hours composed of
secure online exams.
Course Progression: It is the policy for all Portage Learning courses that only one module (lecture) exam is to
be completed within a 48-hour period. Research on the best practices in learning indicates that time is needed
to process material for optimal learning. This means that once an exam has been completed, the next exam
may not be opened or taken until 48 hours after the submission of the previous module exam. This allows for
instructor feedback/class expectations as the student moves through the material. Instructors, like the College,
are not available during the weekend; grading, therefore, is M-F and may take up to 72 hours during these
days. Also, it is the policy of Portage Learning to support a minimum of 21 days to complete a course; this is
not a negotiable time period. Please plan your time accordingly.
Note: Professors reserve the right to reset any exam taken in violation of these guidelines.
Required readings, lectures and assignments: Portage courses do not use paper textbooks. Students are
required to read the online lesson modules written by the course author which contain the standard information
covered in a typical course. Please note the exam questions are based upon the readings. Video lectures
which support each lesson module subject should be viewed as many times as is necessary to fully
understand the material.
Module Review Questions: The practice problems within the modules are not quantitatively part of your final
grade, but the module work is a pass/fail component of the course and will be reviewed for completeness by
the instructor. Be sure to answer all of the problems, being careful to answer the questions in your own
words at all times since this is an important part of adequate preparation for the exams. After you
answer the practice problems, compare your answers to the solutions at the end of the module. If your
answers do not match those at the end, attempt to figure out why there is a difference. If you have any
questions please contact the instructor via the My Messages tab.
3 credits
Prerequisites: Algebra proficiency required (high-school algebra 2 or a college
equivalent)
Instructor: Matthew Dodd, MS
H. Elaine Frey, MA
Laurie Key, MS
Nick Lagios, MS, MBA
Contact Information: Faculty may be contacted through the Portage messaging
system
Additional Information: www.portagelearning.com*
Course meeting times: MATH 110 is offered continuously
Course Description: A general introduction to mathematical statistics as a tool
used in the decision-making process. The course is designed to help students
develop an understanding of summarized data in both descriptive and inferential
statistical applications through the use of frequency distributions, measures of
central tendency, measures of dispersion, probability distributions, random
sampling, interval estimation, hypothesis testing, comparisons involving means,
and regression analysis.
Course Outcomes: As a result of this course experience a student should be
able to explain:
• The difference between qualitative and quantitative data, be able to organize the data and
present a meaningful overview of the data through the use of frequency distributions,
measures of central tendency (i.e. the mean, median and mode) and measures of
dispersion (i.e. the variance, standard deviation and coefficient of variation)
• The rules involved in developing outcome probabilities and how to apply the appropriate
counting methods in the development of the probabilities of outcomes in an experiment.
• The difference between a discrete probability distribution and a continuous probability
distribution.
• The concepts involving random sampling, the sampling distributions of x-bar (𝑥̅) and p-bar
(𝑝̅) and other methods.
• The null & alternative hypothesis in classical hypothesis testing along with type I and II
errors; onetailed & two-tailed testing involving populations and both large & small samples.
• Linear regression analysis and lines of best fit.
*Please see the Module Topics section below for expanded course outcomes.
1.
, lOMoARcPSD|64492663
*
Portage Learning college courses are offered by Geneva College, which is regionally accredited by the Middle States Commission on
Higher Education. Portage Learning is included in the College’s Department of Professional and Online Graduate Studies; courses are
delivered through the PortageLearning.com platform.
Each of these MATH 110 student learning outcomes is measured:
Directly by: (1) Module application problems (with instructor feedback)
(2) Module exams
(3) Cumulative final exam
Indirectly by an end of course student-completed evaluation survey
Course Delivery: This course is asynchronously delivered online. Contact hours include 40 - 50 hours of
reviewed module assignments with instructor feedback. There are 15 additional contact hours composed of
secure online exams.
Course Progression: It is the policy for all Portage Learning courses that only one module (lecture) exam is to
be completed within a 48-hour period. Research on the best practices in learning indicates that time is needed
to process material for optimal learning. This means that once an exam has been completed, the next exam
may not be opened or taken until 48 hours after the submission of the previous module exam. This allows for
instructor feedback/class expectations as the student moves through the material. Instructors, like the College,
are not available during the weekend; grading, therefore, is M-F and may take up to 72 hours during these
days. Also, it is the policy of Portage Learning to support a minimum of 21 days to complete a course; this is
not a negotiable time period. Please plan your time accordingly.
Note: Professors reserve the right to reset any exam taken in violation of these guidelines.
Required readings, lectures and assignments: Portage courses do not use paper textbooks. Students are
required to read the online lesson modules written by the course author which contain the standard information
covered in a typical course. Please note the exam questions are based upon the readings. Video lectures
which support each lesson module subject should be viewed as many times as is necessary to fully
understand the material.
Module Review Questions: The practice problems within the modules are not quantitatively part of your final
grade, but the module work is a pass/fail component of the course and will be reviewed for completeness by
the instructor. Be sure to answer all of the problems, being careful to answer the questions in your own
words at all times since this is an important part of adequate preparation for the exams. After you
answer the practice problems, compare your answers to the solutions at the end of the module. If your
answers do not match those at the end, attempt to figure out why there is a difference. If you have any
questions please contact the instructor via the My Messages tab.
