Summer 2024  MAT2021VO05S  Statistics
Synchronous Class
Synchronous courses are delivered through a combination of online and regularlyscheduled 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.
InPerson Meeting Day/Times via Zoom: Thursday,
03:00P  05:00P
Semester Dates: 05232024 to 08082024
Last day to drop without a grade: 06102024  Refund Policy
Last day to withdraw (W grade): 07082024  Refund Policy
This course has started, please contact the offering academic center about registration
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
 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. 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 twotailed 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/computerrecommendations/
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
MAT2021VO05S
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 capabilitya TI83 or TI84 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:
 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
Week/Module  Topic   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
  Discussion
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 nonsatisfactory 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 onground 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

Provide disability documentation to the Accessibility Coordinator at your academic center. https://ccv.edu/discoverresources/studentswithdisabilities/

Request an appointment to meet with accessibility coordinator to discuss your request and create an accommodation plan.

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.
