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One Credit Courses

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No Cost Textbook/Resources Courses

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Low Cost Textbook/Resources Courses

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Course Planning by Program

2024-25

Essential Objectives

Course Syllabus


Revision Date: 02-Jul-24
 

Fall 2024 | MAT-2021-VU03 - 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: 09-03-2024 to 12-10-2024
Last day to drop without a grade: 09-16-2024 - Refund Policy
Last day to withdraw (W grade): 11-04-2024 - Refund Policy
Open Seats: 17 (as of 07-21-24 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
  1. 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.
  2. 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 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.
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/computer-recommendations/

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 2024-05-20. 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.

MAT-2021-VU03 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:

 HighLow
A+10098
A Less than 9893
A-Less than 9390
B+Less than 9088
B Less than 8883
B-Less than 8380
C+Less than 8078
C Less than 7873
C-Less than 7370
D+Less than 7068
D Less than 6863
D-Less than 6360
FLess than 60 
P10060
NPLess than 600


Weekly Schedule


Week/ModuleTopic  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/ t-distributions, 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 non-satisfactory 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 on-ground 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 non-attentive, 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 test-taking 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
  1. Provide disability documentation to the Accessibility Coordinator at your academic center. https://ccv.edu/discover-resources/students-with-disabilities/
  2. Request an appointment to meet with accessibility coordinator to discuss your request and create an accommodation plan.
  3. 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.