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
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
| Assignment | Points | Percentage of Grade |
|---|---|---|
| Weekly Discussions (6 discussions, 30 points each) | 180 | 15% |
| Week 6 Reflection Discussion | 40 | 4% |
| Homework Assignments (15 modules, 32 points each) | 480 | 48% |
| Statistics Project (3 parts, 100 points each) | 300 | 30% |
| Total | 1000 | 100% |
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 Schedule
Week 1: short week – Jul 3 – Jul 7 (5 days!)
Week 2: Jul 8 – Jul 14
Week 3: Jul 15 – Jul 21
Week 4: Jul 22 – Jul 28
Week 5: Jul 29 – Aug 4
Week 6: short week – Aug 5 – Aug 9 (Friday)
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:
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:
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:
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:
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:
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:
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
- Library Access for all students: Your library login ID and password are the same as the ones you use to log into Brightspace.
- Library Questions: Ask a librarian or phone library staff at (207) 602-2361 or (207) 221-4330.
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
Your course may have proctored exams. Please see the course for the exact exam requirements, test-taker guidance, proctoring format, and allowances (such as calculators or whiteboards, as indicated in the course).
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.
- Enrollment in the course begins the day your section opens which is listed in the Academic Calendar.
- 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.
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:
- Cheating, copying, or the offering or receiving of unauthorized assistance or information.
- Fabrication or falsification of data, results, or sources for papers or reports.
- Action which destroys or alters the work of another student.
- Multiple submission of the same paper or report for assignments in more than one course without permission of each instructor.
- 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.