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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

2023-24

Essential Objectives

Course Syllabus


Revision Date: 06-Nov-23
 

Summer 2024 | MAT-2021-VO05S - 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.

Location: Online
Credits: 3 (45 hours)
Synchronous Section: This course has schedule meeting dates and times online via Zoom. See below or consult Self Service - Search for Courses and Sections for specific dates and times.
In-Person Meeting Day/Times via Zoom: Thursday, 03:00P - 05:00P
Semester Dates: 05-23-2024 to 08-08-2024
Last day to drop without a grade: 06-10-2024 - Refund Policy
Last day to withdraw (W grade): 07-08-2024 - Refund Policy
Open Seats: 14 (as of 03-29-24 11:05 AM)
To check live space availability, Search for Courses.

Faculty

Michael Abrams
View Faculty Credentials

Hiring Coordinator for this course: Julie Dalley

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

MAT-2021-VO05S Link to Textbooks/Resources Information 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

The textbook is OpenStax Statistics, which is an open source book that is freely available online. Students will, however, need to purchase a WebAssign access card. Students will also need to obtain a calculator with statistical capability--a TI-83 or TI-84 is highly recommended.

The student must complete weekly homework assignments. These assignments will require approximately three hours weekly.It is important that the student complete the homework on time because each assignment builds on previous assignments.

There will be interesting videos and discussions on some of the most important topics in the course.

There will be two exams and a Final.


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

Sampling and Data

  

OpenStax Statistics, Chapter 1

  

Discussion

WebAssign homework

 

2

Descriptive Statistics

  

OpenStax Statistics, Chapter 2

  

WebAssign homework

 

3

Probability 1: Intro

  

OpenStax Statistics, Chapter 3

  

WebAssign homework

 

4

Probability 2: Random Variables

  

OpenStax Statistics, Chapter 4

  

Discussion

WebAssign homework

 

5

Probability 3: The Normal Distribution

  

OpenStax Statistics, Chapter 5

  

WebAssign homework

Exam 1

 

6

The Central Limit Theorem

  

OpenStax Statistics, Chapter 6

  

WebAssign homework

 

7

Confidence Intervals

  

OpenStax Statistics, Chapter 7

  

WebAssign homework

 

8

The T distribution

  

Chapter 8

  

WebAssign homework

 

9

Hypothesis tests

  

OpenStax Statistics, Chapter 9

  

WebAssign homwork

Exam 2

 

10

Linear Correlation and regression

  

OpenStax Statistics, Chapter 12

  

WebAssign homework

 

11

The ChiSquare distribution

  

OpenStax Statistics, Chapter 11

  

WebAssign homework

 

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.

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.