Course Syllabus

Fall 2026 | MAT-2021-VO07 - Statistics

Online Class

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

Faculty

Allie Mohr
View Faculty Credentials

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 no cost 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

A variety of instructional methods will be used throughout this course to build your understanding of statistical principles, including:

• Online Discussions: Weekly Canvas forum discussions exploring core concepts, sharing insights, and collaborating with peers.

• Text & Video Resources: Assigned textbook readings paired with curated video walkthroughs and lectures linked in Canvas.

• Problem Sets & Quizzes: Regular practice exercises, assignments, and Canvas quizzes to reinforce quantitative skills and track your progress.

• Hands-on Data Labs: Applied lab exercises analyzing real-world datasets and published statistical reports from various sources.

• Independent Projects: Individual projects where you will apply statistical methods to analyze and interpret authentic data.

Evaluation Criteria

Grading Breakdown

• Exams: 30%

• Quizzes & Data Analysis Tasks: 30%

• Final Project: 20%

• Assignments: 10%

• Discussion Participation: 10%

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

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

• Discussions (Initial Post): 5% off per day, up to 3 days late. After that, posts can’t be made up.
• Discussions (Replies): Will not be accepted late.
• Assignments and Quizzes:5% off per day, up to 5 days late. No credit after 5 days unless you contact me first.
• Extensions: If you need extra time, message me before the deadline. I’m flexible as long as we communicate.

You may revise and resubmit a labonceafter it has been graded. Revisions must be submittedwithin 48 hours of receiving feedbackand must meaningfully address the comments provided. If the revised work meets all assignment requirements,full credit may be earned.

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.