Fall 2024  MAT2021VU03  Statistics
In Person Class
Standard courses meet in person at CCV centers, typically once each week for the duration of the semester.
Location: Winooski
Credits: 3 (45 hours)
Day/Times: Tuesday,
06:00P  08:45P
Semester Dates: 09032024 to 12102024
Last day to drop without a grade: 09162024  Refund Policy
Last day to withdraw (W grade): 11042024  Refund Policy
Open Seats: 17 (as of 072124 4:05 PM)
To check live space availability, Search for Courses.
Faculty
Warren Ellison
View Faculty Credentials
View Faculty Statement
Hiring Coordinator for this course: Nick Molander
General Education Requirements
This section meets the following CCV General Education Requirement(s) for the current catalog year:
VSCS Mathematics
Note
 Many degree programs have specific general education recommendations. In order to avoid taking unnecessary classes, please consult with additional resources like your program evaluation, your academic program catalog year page, and your academic advisor.
 Courses may only be used to meet one General Education Requirement.
Course Description
This course is 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. Prerequisite: Math & Algebra for College or equivalent skills.
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 twotailed 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. 12. Apply mathematical reasoning to analyze social justice problems in a variety of different contexts and consider whether these approaches are just and equitable.
Required Technology
More information on general computer and internet recommendations is available on the CCV IT Support page. https://support.ccv.edu/general/computerrecommendations/
Please see CCV's Digital Equity Statement (pg. 45) to learn more about CCV's commitment to supporting all students access the technology they need to successfully finish their courses.
Required Textbooks and Resources
This course uses one or more textbooks/books/simulations.
Fall 2024 textbook details will be available on 20240520. On that date a link will be available below that will take you to eCampus, CCV's bookstore. The information provided there will be specific to this class. Please see this page for more information regarding the purchase of textbooks/books.
MAT2021VU03
Link to Textbooks for this course in eCampus.
The last day to use a Financial Aid Advance to purchase textbooks/books is the 3rd Tuesday of the semester. See your financial aid counselor at your academic center if you have any questions.
Methods
1. Weekly lectures with discussion, guided excercises, and, on occasion,simulations.
2. Weekly homework problem sets from the textbook.
3. Occasional quizzes and a final exam.
Evaluation Criteria
40% Homework
15% Class Participation and Attitude
15% Quizzes
30% Final Exam
Grading Criteria
CCV Letter Grades as outlined in the Evaluation System Policy are assigned according to the following chart:
 High  Low 
A+  100  98 
A  Less than 98  93 
A  Less than 93  90 
B+  Less than 90  88 
B  Less than 88  83 
B  Less than 83  80 
C+  Less than 80  78 
C  Less than 78  73 
C  Less than 73  70 
D+  Less than 70  68 
D  Less than 68  63 
D  Less than 63  60 
F  Less than 60  
P  100  60 
NP  Less than 60  0 
Weekly Schedule
Week/Module  Topic   Readings   Assignments 

1  Data and data collection, randomness, organizing data   Brase & Brase chap. 1 & 2   Problem sets 

2  Histograms, central tendencies   Brase & Brase chap. 2 & 3   Problem sets 

3  Variance and standard deviation   Brase & Brase chap. 3   Problem sets 

4  Descriptive statistics review, intro to probability   Brase & Brase chap. 3 & 5   Problem sets 

5  Counting methods, probability of discrete data   Brase & Brase chap. 5 & 6   Chapter 1  3 quiz on descriptive statistics, problem sets 

6  The binomial distribution  theory   Brase & Brase chap. 6   Problem sets 

7  The binomial and geometric distibutions  application   Brase & Brase chap. 6   Problem sets 

8  The normal distribution   Brase & Brase chap. 7   Problem sets 

9  Sampling, randomness & the central limit theorem   Brase & Brase chap. 7   Problem sets 

10  Intro to inferential statistics, estimation   Brase & Brase chap. 8   Chapter 5  7 quiz on probability, problem sets 

11  Estimation w/ tdistributions, intro to hypothesis testing   Brase & Brase chap. 8 & 9   Problem sets 

12  Hypothesis tests of means and proportions   Brase & Brase chap. 9   Problem sets 

13  Correlation & linear regression   Brase & Brase chap. 4   Problem sets 

14  Review & catch up   Brase & Brase   Chapter 7  9 quiz on inferential statistics 

15  Cumulative final exam     

Attendance Policy
Regular attendance and participation in classes are essential for success in and are completion requirements for courses at CCV. A student's failure to meet attendance requirements as specified in course descriptions will normally result in a nonsatisfactory grade.

In general, missing more than 20% of a course due to absences, lateness or early departures may jeopardize a student's ability to earn a satisfactory final grade.

Attending an onground or synchronous course means a student appeared in the live classroom for at least a meaningful portion of a given class meeting. Attending an online course means a student posted a discussion forum response, completed a quiz or attempted some other academically required activity. Simply viewing a course item or module does not count as attendance.
 Meeting the minimum attendance requirement for a course does not mean a student has satisfied the academic requirements for participation, which require students to go above and beyond simply attending a portion of the class. Faculty members will individually determine what constitutes participation in each course they teach and explain in their course descriptions how participation factors into a student's final grade.
Missing & Late Work Policy
Grades are based on performance. That performance will be judged based on your quality of coming to class, behaving with a proper & respectful attitude, doing class/home work, submitting assignments, and taking quizzes/tests. All of these activities work together to create a successful learning experience.
If students are absent or nonattentive, if homework is late, neglected or missing, or if quizzes/tests are skipped, the results of the semester simply won't be rewarding.
So... Please be responsible and do the work needed to be a successful student. It is the responsibility of every student to communicate their needs to the teacher. If for some reason a student needs to be absent, an assignment needs an extension, or a test needs to be postponed, it is required that the student work out a plan with the teacher before the situation arises or the due date occurs. Hopefully an amenable resolution can be found.
There is a limit, however. Credit is not given for homework problem sets after solution sets have been distributed. Late assignments are not accepted after their associated tests have been given. The point of doing problem sets and homework is to give students time to practice the material and get feedback before examinations. Turning in preparatory material after solutions are given or when feedback can not be helpful for better testtaking seems counter productive.
Speak with the teacher about difficulties and extenuating situations. Communication usually makes all the difference.
Accessibility Services for Students with Disabilities:
CCV strives to mitigate barriers to course access for students with documented disabilities. To request accommodations, please

Provide disability documentation to the Accessibility Coordinator at your academic center. https://ccv.edu/discoverresources/studentswithdisabilities/

Request an appointment to meet with accessibility coordinator to discuss your request and create an accommodation plan.

Once created, students will share the accommodation plan with faculty. Please note, faculty cannot make disability accommodations outside of this process.
Academic Integrity
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.
