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.
By the end of this course, you will be able to:
Each week has 30-point homework assignments aligned with the content modules. These will be completed in Brightspace.
Each week, you will participate in a discussion in which you will apply statistics skills and respond to your peers. Each discussion is worth 30 points, except for the Week 8 Reflection, which is worth 40 points.
There is a course project that is broken up into 3 parts. Each part is worth 100 points, for a total of 300 points. Part 1 is due in Module 6 (Week 3), Part 2 is due in Module 12 (Week 7) and Part 3 is due in Module 16 (Week 8). 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).
Your grade in this course will be determined by the following criteria:
Assignment | Points | Percentage of Grade |
---|---|---|
Weekly Discussions (Weeks 1-7, 30 points each) | 210 points | 21% |
Homework Assignments (15 modules, 30 points each) | 450 points | 45% |
Statistics Project (3 Parts, 100 points each) | 300 points | 30% |
Week 8 Reflection Discussion (40 points) | 40 points | 4% |
TOTAL | 1000 points | 100% |
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 |
Week 1: Sep 4 – Sep 10
Week 2: Sep 11 – Sep 17
Week 3: Sep 18 – Sep 24
Week 4: Sep 25 – Oct 1
Week 5: Oct 2 – Oct 8
Week 6: Oct 9 – Oct 15
Week 7: Oct 16 – Oct 22
Week 8: Oct 23 – Oct 29
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 Week 1 Discussion: Introductions Homework: Modules 1 & 2 Select topic for Statistics Project |
Discussion (Initial Post) – Sunday, 11:59 PM EST Discussion (Response Posts) – Tuesday, 11:59 PM EST Homework – Tuesday, 11:59 PM EST |
2 |
Modules 3 & 4 Week 2 Discussion Homework: Modules 3 & 4 |
Discussion (Initial Post) – Sunday, 11:59 PM EST Discussion (Response Posts) – Tuesday, 11:59 PM EST Homework – Tuesday, 11:59 PM EST |
3 |
Modules 5 & 6 Week 3 Discussion Homework: Modules 5 & 6 Statistics Project Part 1 due |
Discussion (Initial Post) – Sunday, 11:59 PM EST Discussion (Response Posts) – Tuesday, 11:59 PM EST Homework – Tuesday, 11:59 PM EST Statistics Project Part 1 – Tuesday, 11:59 PM EST |
4 |
Modules 7 & 8 Week 4 Discussion Homework: Modules 7 & 8 |
Discussion (Initial Post) – Sunday, 11:59 PM EST Discussion (Response Posts) – Tuesday, 11:59 PM EST Homework – Tuesday, 11:59 PM EST |
5 |
Modules 9 & 10 Week 5 Discussion Homework: Modules 9 & 10 Begin working on Statistics Project Part 2 |
Discussion (Initial Post) – Sunday, 11:59 PM EST Discussion (Response Posts) – Tuesday, 11:59 PM EST Homework – Tuesday, 11:59 PM EST |
5 |
Modules 11 & 12 Week 6 Discussion Homework: Modules 11 & 12 Statistics Project Part 2 due |
Discussion (Initial Post) – Sunday, 11:59 PM EST Discussion (Response Posts) – Tuesday, 11:59 PM EST Homework – Tuesday, 11:59 PM EST Statistics Project Part 2 – Tuesday, 11:59 PM EST |
7 |
Modules 13 & 14 Week 7 Discussion Homework: Modules 13 & 14 Begin working on Statistics Project Part 3 |
Discussion (Initial Post) – Sunday, 11:59 PM EST Discussion (Response Posts) – Tuesday, 11:59 PM EST Homework – Tuesday, 11:59 PM EST |
8 |
Modules 15 & 16 Week 8 Discussion: Reflection Homework: Module 15 Statistics Project Part 3 due
|
Discussion (Initial Post) – Sunday, 11:59 PM EST Discussion (Response Posts) – Tuesday, 11:59 PM EST Homework – Tuesday, 11:59 PM EST Statistics Project Part 3 – Tuesday, 11:59 PM EST |
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: prehealth@une.edu.
Togetherall is a 24/7 communication and emotional support platform monitored by trained clinicians. It’s a safe place online to get things off your chest, have conversations, express yourself creatively, and learn how to manage your mental health. If sharing isn’t your thing, Togetherall has other tools and courses to help you look after yourself with plenty of resources to explore. Whether you’re struggling to cope, feeling low, or just need a place to talk, Togetherall can help you explore your feelings in a safe supportive environment. You can join Togetherall using your UNE email address.
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Your student service advisor 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.
Online students are required to submit a graded assignment/discussion prior to Sunday evening at 11:59 pm ET of the first week of the term. If a student does not submit a posting to the graded assignment/discussion prior to Sunday evening at 11:59 pm ET, the student will be automatically dropped from the course for non-participation. Review the full attendance policy.
Late assignments will be accepted up to 3 days late; however, there is a 10% grade reduction (from the total points) for the late submission. After three days the assignment will not be accepted. Discussion posts: If the initial post is submitted late, but still within the discussion board week, there will be a 10% grade reduction from the total discussion grade (e.g., a 3 point discussion will be reduced by 0.3 points). Any posts submitted after the end of the Discussion Board week will not be graded. Please make every effort ahead of time to contact your instructor if you are not able to meet an assignment deadline. Arrangements for extenuating circumstances may be considered by faculty.
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, 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.
Please review the technical requirements for UNE Online Programs: Technical Requirements
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 8 weeks
Please review the policies in your confirmation email. Contact PreHealth@une.edu with any questions.
Students are expected to attempt and complete all graded assignments and proctored exams by the end date of the course. Contact support with any questions.
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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:
Charges of academic dishonesty will be reviewed by the Program Director. 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.