Syllabus

Post Baccalaureate in Pre-Health

MATH 1030: Intro to Statistics – 6 week – Summer 2 2023

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)180 points18%
Week 6 Reflection Discussion (40 points)40 points4%
Homework Assignments (15 modules, 32 points each)480 points48%
Statistics Project (3 Parts, 100 points each)300 points30%
TOTAL1000 points100%

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: Jul 5 – Jul 9 (short week)
Week 2: Jul 10 – Jul 16
Week 3: Jul 17 – Jul 23
Week 4: Jul 24 – Jul 30
Week 5: Jul 31 – Aug 6
Week 6:  Aug 7 – Aug 11 (short week)

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

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: prehealth@une.edu.

Online Peer Support

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.

Instructor and Support Contact Information

Check Brightspace for specific instructor and support specialist contact information.

UNE Libraries

Further Assistance

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.

Policies

Attendance Policy

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.

Assignments

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.

Proctored Examinations

Your course may have proctored exams. Please see your course for full details, access, testing requirements, and guidelines.

Students must follow all proctoring requirements for their exams to be credited. Please contact your instructor for specific feedback.

Exam Attempts Policy

Students will receive two attempts at all proctored examinations. The higher score of the two attempts will be calculated into the final grade.

All students are encouraged to use a second attempt on their exams in order to improve their overall performance 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 8 weeks.

  1. Enrollment in the course begins the day your section opens which is listed in the Academic Calendar found on the Student Success Portal.
  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 PreHealth@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. Contact support with any questions.

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:

  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 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.