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No Cost Textbook/Resources Courses

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Course Planning by Program

2024-25

Essential Objectives

Course Syllabus


Revision Date: 05-Jan-24
 

Summer 2024 | MAT-2021-VO01 - Statistics


Online Class

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

Location: Online
Credits: 3 (45 hours)
Day/Times: Meets online
Semester Dates: 05-21-2024 to 08-12-2024
Last day to drop without a grade: 06-10-2024 - Refund Policy
Last day to withdraw (W grade): 07-08-2024 - Refund Policy
This section is waitlisted (0). Please contact your nearest center for availability.

Faculty

Jim Myers
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


*** This is a no cost textbook or resource class. ***

This course uses one or more textbooks/books/simulations.

Summer 2024 textbook details will be available on 2023-11-06. On that date a link will be available below that will take you to eCampus, CCV's bookstore. The information provided there will be specific to this class. Please see this page for more information regarding the purchase of textbooks/books.

MAT-2021-VO01 Link to Textbooks 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

  • Viewing video lectures of course content.
  • Reading passages in your book.
  • Working and submitting homework exercises online.
  • Taking section quizzes online.
  • Participating in short online discussions on the subject matter in Canvas
  • Taking a midterm exam and a final exam online
  • All online work, with the exception of the discussions, is done in MyLab

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


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.


Participation Expectations

Participation Expectations
All students are expected to participate in all discussions. The initial substantive response post to a discussion topic, whether it be a computational or expository topic, is due by midnight Thursday night. Correction posts may be made until the end of the discussion week, Monday night midnight. There is no penalty for submitting correction posts, no matter how many, until the work is correct. Students are also expected to respond to at least two of their classmates over the course of at least 2 days with substantive comments demonstrating that they have reviewed the classmate’s work. The idea of the discussion is to help each other out.

Additional Course Details, as you plan for and begin this course:

A Few Words About MyLab and Your “Book”
Read all the way to the end of this section carefully before you decide what you will do.

MyLab. To take this course you must have access to MyLab Statistics at https://mlm.pearson.com/northamerica/ for your coursework (readings, videos, homework exercises, and tests). Once you register to MyLab (see “How to Register to MyLab” under Syllabus in Canvas for this course – typically available the Friday before class officially begins) you will have access to the textbook in electronic form within MyLab. This course uses the book listed under Course Text, below. You have the following choices:

  • Etext Voucher. If you are comfortable using an online text book AND will pay using a financial aid voucher, you must purchase a Standalone Access Card through the online school store. The Access Card contains a code that you type in as proof of payment for your MyLab registration when you register. This choice is listed as REQUIRED in the online school store. [ISBN: See the Textbooks link above]
  • Hardcopy book. If you prefer studying from a hardcopy book, you can rent the book. This rental represents the least expensive way to acquire use of the book through the online school store. This choice is listed as OPTIONAL in the online school store.

Free 14-day option. Remember, whichever of the above choices you make you may elect the free 14-day option, instead of making payment with a credit card or access code, when you register to MyLab at https://mlm.pearson.com/northamerica/. This option lets you delay paying for up to 14 days. It also gets you going in the course even if you are still waiting for your order to arrive. As you would expect, MyLab will remind you how many days are left in your free period until it expires

Course Text
Introductory Statistics: Exploring the World Through Data, 3rd Edition
By Robert Gould, Rebecca Wong, and Colleen Ryan
Published by Pearson
Available through the online CCV school store (see link above)

Calculator
It is not necessary to purchase a calculator for this course since you will have access to StatCrunch through MyLab.
If you already have access to a TI-84 you may use it as your text has a TechTips section at the end of each chapter that gives step-by-step instructions on how to use the appropriate TI-84 function(s) needed to work the problems in the chapter.

Course Availability
Both the Canvas and MyLab websites for this course are made available to students on, or prior to, the Friday before the official published CCV start date of the course (listed above).

Extraordinary Circumstances
Life occasionally presents us with unexpected obstacles and issues outside our control. If you have an extraordinary situation that prevents you from completing coursework in a timely manner, please bring it to the attention of the instructor as soon as the situation occurs. If you wish to complete the requirements of this course and are willing, in good faith, to commit the time and effort necessary to make up work on a reasonably negotiated and agreed schedule arrangements can be worked out to support you.



Missing & Late Work Policy

Any scheduled assignments that are not attempted, either in MyLab or in Canvas, earn a grade of zero.

MyLab assignment Make Ups
All assignments in MyLab may be turned in after the due date. That said, it is never a good idea to fall behind in a math course. The stress created by falling behind is not worth it. Any section exercise (Ex:) assignment in MyLab submitted after the due date receives a one-time 10% penalty.

Discussion Late Work and Make Ups.
Initial substantive posts to Discussion topics are due by Thursday night, midnight. Initial substantive posts that are late are penalized 10% per day.

Discussion Topics online take the place of participation in a classroom. The only time participation can be considered is when class is in session and other students are present. If a student does not come to class (online equivalent = submits no posts) there is no participation. A post reserving a particular problem in a computational discussion does not constitute participation. Once the Discussion Week (Tuesday through Monday) has passed, participation cannot be "made up".


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.