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2020-21

Essential Objectives

Web Schedule Summer 2020


Revision Date: 21-Apr-20

MAT-2021-VR02 - Statistics


Synonym: 185050

Location: Rutland - Meets Online

Credits: 3 (45 hours)
Day/Times: Meets online
Semester Dates: 05-26-2020 to 08-17-2020
Last day to drop without a grade: 06-11-2020 - Refund Policy
Last day to withdraw (W grade): 07-14-2020 - Refund Policy
Faculty: Julie Lee | View Faculty Credentials
This course has started, please contact the offering academic center about registration
This section meets the following General Education Requirement(s):
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 page, and your academic advisor.
  2. Courses may only be used to meet one General Education Requirement.

Browse the Canvas Site for this class.

Course Description:

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: Foundations of Algebra 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.

Additional Instructor Pre-Assignments/Notes/Comments:

Additional Instructor Pre-Assignments/Notes/Comments:

Textbook: MyStatLab with e-Book – Instatnt Access – for Essentials of Statistics 5th ed. By Mario F. Triola with Pearson.Include MyMath/Instant Access/Access Card.

(a) Students are required to haveNEW MyMathLab access codes for homework assignments and quizzes. l daily so that you will learn it and if learned well, you will be always be able to recall it. I can be reached at Julie.Lee@ccv.edu if you have any question on a problem. I will be happy to help you.

(b) Proficiency with algebra is very helpful. Please make an effort to study and live with the materia(c) If anyone has any special need or concern about this class, please contact as soon as possible. In order to receive accommodations for disabilities in this course, students must make an appointment to see the Americans with Disabilities Coordinator in their site and have documentation sent to me.

(d) Academic Honesty: CCV has a commitment to honesty and excellence in academic work and expects the same from all students. Academic dishonesty in any form, 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.

Methods:

This summer online course is twelve-week long. It begins on Tuesday, May 26th and ends on Monday, August 17th. Each week will begin on a Tuesday and ends Monday night at midnight. Every Tuesday morning at 12:01 am, we will have a new week of material to cover.

(a) Homework will be posted each week. It will be student’s responsibility to complete and understand all homework. We will be using much of the discussion forum to talk about homework problems. See ‘Participation’ below for more information.

(b) Quizzes will be assigned on Tuesdays and due the following Monday, any time before midnight. Contact me, Julie.Lee@ccv.edu, if you have any question. I will have the due date listed on each quiz. You will be able access the quizzes through the Assignment button. You will do the quizzes in MyStatLab. These quizzes will have 14 to 35 questions with a time limit of 2 to 4 hours. Once you begin a quiz, it

must be completed. Make sure that you are ready to take it when you click on the link for it.

We have 8 scheduled quizzes. I will only count the best 7 of them towards your final score. I will drop your lowest quiz score or you can miss a quiz.

(c) Exams will be posted 1 week before the due date. Exams must be done individually. Please contact me through email if you have any question.

(d) Participation is very important in this online course. I will be posting weekly discussions. It will be your responsibility to respond to each of the discussions. You can find the Weekly Discussion in Discussion Forum. We will be using the weekly discussion to talk about the homework and special topics related to that particular week’s material.

The weekly discussions are a great way to build a community of online learners for the whole class. I am hoping to use weekly discussions to help everyone in this online class. I will be facilitating the weekly discussions. I also would like to encourage everyone to ask questions and/or provide an answer to a particular problem. So, this will enhance your mathematical knowledge and help to build a community of learners.

Evaluation Criteria:

Criteria for Evaluation:

The student’s grade will be determined by the following:

Three exams = 60% (in Canvas)

Homework = 10% (online MyStatLab.com)

Participation = 15% (Discussion Forum in Canvas)

Quizzes = 15% (online MyStatLab.com)

Grading Criteria:

Grading Scheme:

A+ 98-100 A 93-97 A- 90-92

B+ 88-89 B 83-87 B- 80-82

C+ 78-79 C 73-77 C-70-72

D+ 68-69 D 63-67 D- 60-62

F 0-59

P Pass NP No Pass

Textbooks:

Summer 2020 textbook data will be available on April 6. On that date a link will be available below that will take you to eCampus, CCV's bookstore. The information provided there will be for this course only. Please see this page for more information regarding the purchase of textbooks.

MAT-2021-VR02 Textbooks.

The last day to use a Financial Aid advance to purchase textbooks is the 3rd Tuesday of the semester. See your financial aid counselor at your academic center if you have any questions.

Contact Faculty:

Email: Julie Lee
Hiring Coordinator for this course: Debra Grant

Attendance Policy:

Attendance Policy:

Due to the nature of this course being online. It is the student’s responsibility to go online several times a week.

Syllabus:

MAT2021 ONLINE STATISTICS I TENTATIVE COURSE SYLLABUS

Chapter Topic

1 Introduction

2 Summarizing and Graphing Data

3 Statistics for Describing, Exploring, and Comparing Data

4 Probability

5 Discrete Probability Distributions

6 Normal Probability Distributions

7 Estimates and Sample Sizes

8 Hypothesis Testing

9 Inferences From Two Samples

10 Correlation and Regression

11 Chi-Square and Analysis of Variance

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 Honesty: 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.

Course description details subject to change. Please refer to this document frequently.

To check on space availability, choose Search for Classes.


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