Syllabus

UNE Summer Session

MATH 1030: Intro to Statistics – Summer Session 2024

Credits - 3

Description

This course introduces the students to both descriptive and inferential statistics.  Emphasis is placed on the practical use of statistics in the collecting, organizing, analyzing and interpreting of data. Students will learn standard topics such as sampling, bias, organization of data, measures of central tendency and dispersion, correlation and regression, probability, normal and standard normal distributions, confidence intervals and hypothesis testing.

Materials

Text

Good news: your textbook for this class is available for free online! If you prefer, you can also order a print version at a very low cost. 

Illowsky, B., Dean, S. (2020). Introductory Statistics. OpenStax. https://openstax.org/details/books/introductory-statistics

Digital ISBN 1947172050

Print ISBN 1938168208

This textbook is available in web view and PDF. You can also choose to purchase on iBooks or get a print version via the campus bookstore or from OpenStax on Amazon.com.

You can use whichever format you want. Web view is recommended — the responsive design works seamlessly on any device. If you buy on Amazon, make sure you use the link on your book page on openstax.org so you get the official OpenStax print version. (Simple printouts sold by third parties on Amazon are not verifiable and not as high-quality.)

Publish Date:  Sep 19, 2013

Resources

Microsoft Office: Word and Excel (Free to UNE students)

Scientific or graphing calculator (TI-83+ or TI-84)

Learning Objectives and Outcomes

Course Objectives

By the end of this course, you will be able to:

  • Recognize common terms used in statistics
  • Organize data using tables and graphical representation
  • Compute measures of central tendency and variation
  • Apply basic rules of probability 
  • Analyze scatterplots and regression models
  • Utilize properties of The Normal Distribution
  • Determine confidence intervals
  • Formulate a hypothesis and test a hypothesis

Assignments

Homework

Each week has homework assignments aligned with the content modules. These will be completed in Brightspace. 

Discussions

Each week, you will participate in discussions in which you will apply statistics skills and respond to your peers.

Statistics Project

There is a course project that is broken up into 3 parts. Part 1 is due in Module 6 (Week 2), Part 2 is due in Module 12 (Week 5) and Part 3 is due in Module 16 (Week 6). You must complete each part of the project in order (ie: you will not be able to access Part 2 materials until Part 1 has been submitted). 

Grading Policy

Your grade in this course will be determined by the following criteria:

Grade Breakdown

AssignmentPointsPercentage of Grade
Weekly Discussions (6 discussions, 30 points each)18015%
Week 6 Reflection Discussion404%
Homework Assignments (15 modules, 32 points each)48048%
Statistics Project (3 parts, 100 points each)30030%
Total1000100%

Grade Scale

Grade Points Grade Point Average (GPA)
A 94 – 100% 4.00
A- 90 – 93% 3.75
B+ 87 – 89% 3.50
B 84 – 86% 3.00
B- 80 – 83% 2.75
C+ 77 – 79% 2.50
C 74 – 76% 2.00
C- 70 – 73% 1.75
D 64 – 69% 1.00
F 00 – 63% 0.00

Schedule

Course Weeks run from Monday to Sunday

Week 1: May 20 – May 26
Week 2: May 27 – Jun 2
Week 3: Jun 3 – Jun 9
Week 4: Jun 10 – Jun 16
Week 5: Jun 17 – Jun 23
Week 6: Short Week Jun 24 – Jun 28

All assignments are due weekly by 11:59 PM ET at the designated times and days recorded below.

Week Modules/Assignments Due Dates
1

Modules 1, 2, and 3

Week 1 Discussions:

  • Introductions
  • 3 Graphs that are Clearly Lying

Homework: Modules 1, 2, and 3

Select topic for Statistics Project

Discussion (Initial Post) – Friday, 11:59 PM EST

Discussions (Response Posts) – Sunday, 11:59 PM EST

Homework – Sunday, 11:59 PM EST

2

Modules 4, 5, and 6

Week 2 Discussion:

  • Measures of Center

Homework: Modules 4, 5, and 6

Statistics Project Part 1 due

Discussion (Initial Post) – Friday, 11:59 PM EST EST

Discussion (Response Posts) – Sunday, 11:59 PM EST

Homework – Sunday, 11:59 PM EST

Statistics Project Part 1 – Sunday, 11:59 PM EST

3

Modules 7, 8, and 9

Week 3 Discussion:

  • Scatterplots

Homework: Modules 7, 8, 9

Discussion (Initial Post) – Friday, 11:59 PM EST

Discussion (Response Posts) – Sunday, 11:59 PM EST

Homework – Sunday, 11:59 PM EST

4

Modules 10 and 11

Week 4 Discussion:

  • Everyday measurements and normal distributions

Homework: Modules 10 and 11

Begin working on Statistics Project Part 2

Discussion (Initial Post) – Friday, 11:59 PM EST

Discussion (Response Posts) – Sunday, 11:59 PM EST

Homework – Sunday, 11:59 PM EST

5

Modules 12, 13 and 14

Week 5 Discussion:

  • Concerts of hypothesis testing

Homework: Modules 12, 13, 14

Statistics Project Part 2 due on FRIDAY

Discussion (Initial Post) – Friday, 11:59 PM EST

Discussion (Response Posts) – Sunday, 11:59 PM EST

Statistics Project Part 2 – Friday, 11:59 PM EST

Homework – Sunday, 11:59 PM EST

 

6

Modules 15 and 16

Week 6 Discussion:

  • Reflection

Homework: Modules 15 and 16

Statistics Project Part 3 due

Discussion (Initial Post) – Wednesday, 11:59 PM EST

Discussion (Response Posts) – FRIDAY, 11:59 PM EST

Homework – FRIDAY, 11:59 PM EST

Statistics Project Part 3 – FRIDAY, 11:59 PM EST

 

Student Resources

Summer Session Online Student Support

Your Student Support Specialist is a resource for you. Please don't hesitate to contact them for assistance, including, but not limited to course planning, current problems or issues in a course, technology concerns, or personal emergencies.

Questions? Email: summersessiononline@une.edu.

Instructor and Support Contact Information

Check Brightspace for specific instructor and support specialist contact information.

UNE Libraries

Further Assistance

Your student support specialist monitors course progression and provides assistance or guidance when needed. They can assist questions regarding ordering course materials, University policies, billing, navigating the course in Brightspace, and more.

To request an accommodation a student needs to go through the process with our UNE office. If the student has a current/already established accommodation in place with UNE it is the responsibility of the student to notify the program at summersessiononline@une.edu to ensure it is applied properly.

If you need to inquire about a possible accommodation, please reach out to the Student Access Center by calling 207-221-4418 or send an email to pcstudentaccess@une.edu.

Policies

Summer Session & Academic Engagement Policy

Online students are required to submit a graded assignment/discussion prior to Sunday evening at 11:59 pm EDT of the first week of the term. If a student does not submit a posting to the graded assignment/discussion by 11:59 pm EDT on Sunday of the first week, the student will be automatically dropped from the course for non-participation. Review the Student Summer Session Manual for full details.

Proctored Examinations

The University of New England has contracted with ProctorU to provide students with the most convenient online exam proctoring system. This system provides a simple, no cost to the student, secure, online proctor for exams and allows the student to take all the exams at home and on their own schedule.

Upon enrollment into the course, if the course has proctored exams, each student will register with ProctorU and establish a login name and password. This will give the student access to all of ProctorU's services. When ready, students will schedule each of their proctored exams with ProctorU. Exams must be scheduled at least 72 hours in advance to avoid fees. Prior to taking their exams, students must be sure that they have downloaded the ProctorU Chrome or Firefox extension and are using the most current version of Chrome or Firefox. They must also be sure their testing site's connection meets the minimum requirements by using ProctorU's "Test It Out" utility.

Upon the exam day and hour, students will log in to ProctorU and click on "exams". After following the procedures outlined at ProctorU's website, the student will log in to Brightspace and locate their correct exam. The proctor will then allow student access to that exam.

Students must use ProctorU and must follow all proctoring requirements for their exams to be credited.

Information about exam attempts can be found in your course.

Technology Requirements

Please review the technical requirements for UNE Online Programs: Technical Requirements.

Course Length

A schedule of lectures and assignments is included in this syllabus.

Courses in the program are equivalent to one-semester courses designed to be completed in 6 or 12 weeks.

  1. Enrollment in the course begins the day your section opens which is listed in the Academic Calendar.
  2. Course due dates, start and end dates are in respect to Eastern Time.

Withdrawal and Refund Policies

Please review the policies in your confirmation email. Contact summersessiononline@une.edu with any questions.

Grade Policy

Students are expected to attempt and complete all graded assignments and proctored exams by the end date of the course.

Transcripts

Due to the Family Educational Rights and Privacy Act, only the student may request official transcripts. This may be done online by going to the University of New England Registrar website and following the directions on the page.

To view your unofficial UNE student transcript:

  1. Log into uonline at http://uonline.une.edu
  2. Select Student Services
  3. Select Student Records
  4. Select Academic Transcript

To request your official UNE student transcript:

Please review your Unofficial Transcript prior to requesting an Official Transcript.

  1. Log into uonline at http://uonline.une.edu
  2. Select Student Services
  3. Select Student Records
  4. Select Request Printed/Official Transcript
  5. Follow the prompts

After you click Submit Request, your official transcript will be put into the queue to be processed in the Registrar's Office.

Academic Integrity

The University of New England values academic integrity in all aspects of the educational experience. Academic dishonesty in any form undermines this standard and devalues the original contributions of others. It is the responsibility of all members of the University community to actively uphold the integrity of the academy; failure to act, for any reason, is not acceptable.

Academic dishonesty includes, but is not limited to the following:

  1. Cheating, copying, or the offering or receiving of unauthorized assistance or information.
  2. Fabrication or falsification of data, results, or sources for papers or reports.
  3. Action which destroys or alters the work of another student.
  4. Multiple submission of the same paper or report for assignments in more than one course without permission of each instructor.
  5. Plagiarism, the appropriation of records, research, materials, ideas, or the language of other persons or writers and the submission of them as one's own.

Charges of academic dishonesty will be reviewed by the College. Penalties for students found responsible for violations may depend upon the seriousness and circumstances of the violation, the degree of premeditation involved, and/or the student’s previous record of violations. Appeal of a decision may be made to the Dean whose decision will be final. Student appeals will take place through the grievance process outlined in the student handbook.