Course Syllabus

Fall 2025 | MAT-2021-VO06S - Statistics

Synchronous Class

Synchronous courses are delivered through a combination of online and regularly-scheduled Zoom sessions. In synchronous classes, students must attend Zoom sessions and actively engage with each other and faculty in course activities and discussions.

Faculty

Andrew Metz
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 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.

You are welcome to use AI throughout the course. However, you must attribute any factual claim you make in any assignment in this course to a source. Your AI tool is not a source, but rather an aggregator of sources. In addition, all writing and math must be your own.

Evaluation Criteria

Grades in MAT-2021 will be calculated as follows:

Attendance: 20%

Homework: 30%

Reading and preparation: 20%

Projects: 30%

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.

Missing & Late Work Policy

Do not hesitate to contact the instructor via Inbox, or email, if you have extenuating circumstances or need assistance.

Most instructors do not like receiving late work. Many instructors do not accept late work. In this course, you have 7 days in which to complete the week's assignments. Therefore, in fairness to all students, I expect your completed assignments by the due date and time. Late work, if accepted, may not receive full credit and points will be deducted. There are no "extra credit" assignments in this class.

Accessibility Services for Students with Disabilities:

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

Apply Now for this semester.