Spring 2023  MAT2021VO06  Statistics
Online Class
Online courses take place 100% online via Canvas, without required inperson or Zoom meetings.
Location: Online
Credits: 3 (45 hours)
Day/Times: Meets online
Semester Dates: 01242023 to 05082023
Last day to drop without a grade: 02122023  Refund Policy
Last day to withdraw (W grade): 03262023  Refund Policy
This course has started, please contact the offering academic center about registration
Faculty
Bill Sacco
View Faculty Credentials
View Faculty Statement
Hiring Coordinator for this course: Julie Dalley
General Education Requirements
This section meets the following VSC General Education Requirement(s) for Catalog Year 2122 and later:
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
This course only uses free Open Educational Resources (OER) and/or library materials.
For details, see the Canvas Site for this class.
Methods
TEACHING METHODS:
1 . Discussion  Online discussion forum for weekly topics on statistical principles.
2. Readings in textbook.
3. Completion of selected statistical problems. This include completing assignments and quizzes in Canvas.
4. Review of statistical data and reports from various sources.
5. Individual projects.
Evaluation Criteria
EVALUATION CRITERIA:
Grades will be comprised of:
Canvas Discussion Assignments and Quizzes 20%
Midterm Exam 25%
Final Exam 25%
Project 20%
Weekly Participation in class online discussion forums 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
Week/Module  Topic   Readings   Assignments 

1  Sampling and Data   Chapter 1 of course text "Introductory Statistics" from OpenStax.
Link to course text pdf file:Introductory Statistics  OpenStax   Discussion Forum Exercise and Individual Student Exercise. 

2  Descriptive Statistics   Chapter 2 of course text "Introductory Statistics" from OpenStax.
Link to course text pdf file:Introductory Statistics  OpenStax   Discussion Forum Exercise and Individual Student Exercise. 

3  Probability Topics   Chapter 3 of course text "Introductory Statistics" from OpenStax.
Link to course text pdf file:Introductory Statistics  OpenStax   Discussion Forum Exercise and Individual Student Exercise. 

4  Discrete Random Variables   Chapter 4 (Sections 41, 42 and 43 Only) of course text "Introductory Statistics" from OpenStax.
Link to course text pdf file:Introductory Statistics  OpenStax   Discussion Forum Exercise and online Quiz 

5  Continuous Random Variables   Chapter 5 (Sections 51 and 52 Only) of course text "Introductory Statistics" from OpenStax.
Link to course text pdf file:Introductory Statistics  OpenStax   Discussion Forum Exercise and Individual Student Exercise. 

6  The Normal Distribution   Chapter 6 of course text "Introductory Statistics" from OpenStax.
Link to course text pdf file:Introductory Statistics  OpenStax   Discussion Forum Exerciseand Individual Student Exercise. 

7  MidTerm Exam   Exam is on Chapter's 1 thru 6 of the course text.   Take online MidTerm Exam 

8  The Central Limit Theorem   Chapter 7 of course text "Introductory Statistics" from OpenStax.
Link to course text pdf file:Introductory Statistics  OpenStax   Discussion Forum Exercise and online Quiz 

9  Confidence Intervals   Chapter 8 of course text "Introductory Statistics" from OpenStax.
Link to course text pdf file:Introductory Statistics  OpenStax   Discussion Forum Exercise and online Quiz 

10  Hypothesis Testing with One Sample   Chapter 9 of course text "Introductory Statistics" from OpenStax.
Link to course text pdf file:Introductory Statistics  OpenStax   Discussion Forum Exercise and Individual Student Exercise. 

11  Hypothesis Testing with Two Sample   Chapter 10 of course text "Introductory Statistics" from OpenStax.
Link to course text pdf file:Introductory Statistics  OpenStax   Discussion Forum Exercise and Individual Student Exercise. 

12  The ChiSquare Distribution (Section 51)
Begin Linear Regression (Sections 121 and 122)   Chapter 11 of course text "Introductory Statistics" from OpenStax.
Link to course text pdf file:Introductory Statistics  OpenStax   Discussion Forum Exercise and online Quiz 

13  Linear Regression and Correlation
Sections 123 thru 126   Chapter 12 of course text "Introductory Statistics" from OpenStax.
Link to course text pdf file:Introductory Statistics  OpenStax   Discussion Forum Exercise and online Quiz 

14  Individual Student Class Projects Due   Submitted projects must meet the format established in Canvas. This format and a sample project for guidance are in the Course Resource Page that is found in the modules section (at the top) on the course canvas page.   Discussion Forum Exercise and Submit Student Project 

15  Final Exam     Take online Final Exam 

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.
Participation Expectations
To earn full participation points for the week, students need to do the following:
 Read the assigned material and demonstrate an understanding of those resources in your assignments and posts. Readings and resources must be cited and when requested hyperlinks to online materials.
 Post an original response to the weekly discussion exercise before Friday at midnight (11:59 PM). Posts should be substantive and demonstrate collegelevel writing. A substantive post is welldeveloped analysis of the topic and will provide any supporting calculations or supporting materials.
Missing & Late Work Policy
 Assignments can be submitted up to the last scheduled day for the class 5/8/2023. No work will be accepted after that date.Note: The course MidTerm and Final Exams must be taken in the week they are assigned!
 Late work is not accepted in the discussion forum. Interacting with classmates is an essential part of online discussions and cannot be made up after the fact. The discussion forum will account for your class participation grade. The class participation grade will account for 10% of your total grade.
 Extensions will be granted only in extenuating circumstances. If a lengthy medical problem or other emergency, personal issue will result in missing weekly discussions and/or assignments, please contact your instructor and student advisor as soon as possible.
 Students who know that they will not have course access for any given week should make arrangements with their instructor to complete assignments and participation requirements prior to the absence.
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.
