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Revision Date: 18-Jan-16

MAT-2021-VR02 - Statistics I

Synonym: 141492
Location: Rutland
Credits: 3 (45 hours)
Day/Times: Tuesday, 11:45A - 02:30P
Semester Dates: 01-26-2016 to 05-03-2016
Faculty: Brad Slonaker | View Faculty Credentials

This course has started, please contact the offering academic center about registration

Course Description:

An introduction to the basic ideas and techniques of probability and statistics. Topics may include numerical and graphical descriptive measures, probability, random variables, the normal distribution, sampling theory, estimation, hypothesis testing, correlation and regression. The use of technology may be required. Students must take a math assessment for placement purposes prior to registration.

Essential Objectives:

1. Outline the general development of statistical science, and list a number of common applications of statistical methodology.
2. Distinguish between descriptive and inferential statistics.
3. Create and apply various techniques used to describe data, such as pie charts, bar graphs, frequency tables, and histograms.
4. Define three common measures of central tendency (mean, median, and mode), and demonstrate the ability to calculate each manually from a series of small data sets.
5. Describe common methods of measuring variability, including range, percentiles, variance, and standard deviation, and calculate each from a series of small data sets.
6 Explain the Normal Probability Distribution, techniques of sampling, the Central Limit Theorem, and the concept of standard error, and compute probabilities associated with normally distributed samples.
7. Test hypotheses about the value of the mean assuming the normal distribution and large sample results.
8. Select and perform common statistical tests including one- and two-tailed tests.
9. Define linear regression and correlation and discuss their applications
10. Interpret and evaluate the validity of statistical data and reports.
11. Demonstrate proficiency in understanding, interpreting, evaluating and applying quantitative data and information.


Course Policies:



Grades will be determined on a point scale as follows:


            Attendance/Participation                             20%

            Projects/Quizzes/Homework                        25%

            Tests                                                            30%

            Final Examination                                        25%


Final course grades will be distributed as follows:

   A+: 100%            A 93-99%            A-: 90-92%            B+: 87-89%            B: 83-86%            B-: 80-82%

   C+: 77-79%            C: 73-76%            C-: 70-72%       D+: 67-69%            D: 63-66%            D-: 60-62%

    F: 59% or below



Attendance is expected according to CCV policy. While in class, each student is expected to participate in your own learning as well as that of other classmates.


Out of class projects may be assigned throughout the semester.  In-class quizzes will be facilitated throughout the semester. Projects and quizzes will not be made up.  Homework will be assigned on a weekly basis. Each student will be expected to evaluate their own homework based on effort and understanding on a 0 – 3 scale as follows:


0 points: no effort/no understanding

1 point: minimal effort/minimal understanding

2 points: maximum effort/minimal understanding

3 points: maximum effort/maximum understanding



Students are expected to take examinations at the regularly scheduled time.  If you are unable to take a scheduled exam, notify me by phone, e-mail or in-person prior to that exam. Full credit make-up exams will be given only in the event that a student has a valid excuse (doctor’s excuse, hospital discharge, etc.). The validity of the excuse will be at the discretion of the instructor. 


Final Examination:

A cumulative final examination will be administered on the last week of class. according to university, college and department policy.  


A note on homework:

 The importance of homework in a mathematics learning community cannot be understated. Homework will be assigned before the end of class and taken up the following class period. The assignments will be posted weekly on the Moodle page. 

A note on calculators:  A scientific or graphing calculator is  required. TI-83 graphing calculators are available at the front desk for in- class use. 


Spring 2016 textbook data will be uploaded on January 6. We strongly suggest that you verify the information below with our online bookseller EdMap before purchasing textbooks from another vendor. If your course is at the Winooski center, check the UVM Bookstore for textbook and pricing information.

Beginning Statistics, ISBN: 9781932628111,    $82.56

Contact Faculty:

Email: Brad Slonaker
Hiring Coordinator for this course: Virginia Gellman

Please note: In order to receive accommodations for disabilities in this course, students must make an appointment to see the Americans with Disabilities Coordinator in their site and bring documentation with them.

Academic Honesty: CCV has a commitment to honesty and excellence in academic work and expects the same from all students. Academic dishonesty, or cheating, can occur whenever you present -as your own work- something that you did not do. You can also be guilty of cheating if you help someone else cheat. Being unaware of what constitutes academic dishonesty (such as knowing what plagiarism is) does not absolve a student of the responsibility to be honest in his/her academic work. Academic dishonesty is taken very seriously and may lead to dismissal from the College.

Course description details subject to change. Please refer to this document frequently.

To check on space availability, choose Search for Classes.

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