Course Syllabus

Summer 2026 | MAT-2021-VO03 - Statistics

Online Class

Online courses take place 100% online via Canvas, without required in-person or Zoom meetings.

Faculty

Dan Lemay
View Faculty Credentials
View Faculty Statement
Hiring Coordinator for this course: Julie Dalley

General Education Requirements

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. 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 computer recommendations Support page.

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 is a low cost ($50 or less) textbook or resource class. ***

This course only uses free Open Educational Resources (OER) and/or library materials. For details, see the Canvas Site for this class.

Artificial Intelligence(AI) Policy Statement

CCV recognizes that artificial intelligence (AI) and generative AI tools are widely available and becoming embedded in many online writing and creative applications.

Allowed: This course's generative AI policy acknowledges technology, including generative AI, plays a supportive role in learning and feedback. During our class, we may use AI writing tools such as ChatGPT in certain specific cases. You will be informed as to when, where, and how these tools are permitted to be used, along with guidance for attribution. Any use outside of these specific cases constitutes a violation of CCV's Academic Integrity Policy.

Methods

Each week you will:

• Take a quiz or exam on the previous week’s work
• Complete readings from the OpenStax Statistics 2e textbook
• Watch assigned videos in Canvas → Modules
• (Optional but recommended) Work through practice exercises from the OpenText Statistics book
• Complete graded online exercise sets in Canvas
• Submit a data analysis lab assignment (weeks vary)
• Participate in the Canvas discussion forum

Evaluation Criteria

Evaluation Criteria:

Your work in this course will be evaluated through the following components:

Exams (30%)

Exams are not cumulative. They are untimed, and you may open and close them as many times as you wish during the exam window.

Quizzes & Data Analysis Tasks (30%)

This course uses weekly quizzes and data analysis labs to help you build essential quantitativereasoning skills and apply mathematical thinking to real social justice issues.

• Quizzes reinforce the concepts introduced each week.
• Data analysis labs give you the opportunity to explore realworld problems in greater depth.

Final Project (20%)

Details and guidelines are available in Canvas → Modules → Course Resources.

Assignments (10%)

These include weekly online problem sets and occasional short assignments that support your learning and skill development.

Discussion Participation (10%)

Presentation details and rubrics will be provided in advance.

Each week that a discussion post is required, I will provide a set of prompts in the discussion forum.
You will:

• Choose one prompt to respond to
• Incorporate the statistical concepts we are studying
• Follow the rubric provided for that week
• Discussion posts are completed in two phases. The initial post is typically due on Saturday evening, and the followup post, where you reply to another student’s post, is due on Monday night.

There is also a “Help Me” discussion forum. Participation is optional, but asking questions about practice exercises—and helping classmates who ask their own questions—can be extremely valuable. Another student voice besides mine often makes a concept click.

Please do not post questions about quiz or exam items.
Email me directly with those questions.

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

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.

Participation Expectations

Each week you will

• Take a quiz/exam on the previous week(s) work.
• Read the assigned sections/watch the videos
• Complete listed assignments in the Canvas>Module for the week..
• Participate in the Canvas Discussion forum

Missing & Late Work Policy

Late work/make up policy: Aside from the discussion forum posts, if you are running behind, and need some more time to get the week's work completed, send me an email before midnight Monday night asking for an extension. Please provide an estimate of how much more time you need.

If you want to make up missing work (MyOpenMath/quizzes) from previous week's work that you missed, I'll allow this up to the week an exam is assigned on this material. For example Week 1 - 5 is tested during week 6. If you ask to make up week 1 work during Week 6, I can't allow this.

This is a fast placed course and falling behind is not advised.

Accessibility Services for Students with Disabilities:

1. Provide disability documentation to the Accessibility Coordinator at your academic center. https://ccv.edu/student-support/accessibility-services/
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

Apply Now for this semester.