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Course Outline
Course Name: Statistics (STAT 2500)
Academic Period: 2024 - 2025
Faculty:
Faculty Availability:
Associate Dean:
Colleen Ball
colleen.ball@humber.ca
Schedule Type Code:
Land Acknowledgement
Humber College is located within the traditional and treaty lands of the Mississaugas of the Credit. Known as Adoobiigok [A-doe-bee-goke], the “Place of the Alders” in Michi Saagiig [Mi-Chee Saw-Geeg] language, the region is uniquely situated along Humber River Watershed, which historically provided an integral connection for Anishinaabe [Ah-nish-nah-bay], Haudenosaunee [Hoeden-no-shownee], and Wendat [Wine-Dot] peoples between the Ontario Lakeshore and the Lake Simcoe/Georgian Bay regions. Now home to people of numerous nations, Adoobiigok continues to provide a vital source of interconnection for all.
Equity, Diversity and Inclusion Statement
Humber College and the University of Guelph-Humber (Humber) are leaders in providing a learning, working and living environment that recognizes and values equity, diversity and inclusion in all its programs and services. Humber commits to reflect the diversity of the communities the College serves. Students, faculty, support and administrative staff feel a sense of belonging and have opportunities to be their authentic selves.
| Faculty or Department | Faculty of Liberal Arts & Sciences |
|---|---|
| Program(s) |
Nursing, Bachelor of Science (NR411)
Nursing - RPN to BScN Bridging, Bachelor of Science (NR4B1)
|
| Course Name: | Statistics (STAT 2500) |
| Pre-Requisites | none |
| Co-Requisites | none |
| Pre-Requisites for | none |
| Equates | none |
| Restrictions | Bachelor of Nursing |
| Credit Value | 3 |
| Total Course Hours | 42 |
| Developed By: | Prepared By: | Approved by: | |
|---|---|---|---|
| Colleen Ball |
Humber Learning Outcomes (HLOs) in this course.
The HLOs are a cross-institutional learning outcomes strategy aimed at equipping Humber graduates with the employability skills, mindsets, and values they need to succeed in the future of work. To explore all the HLOs, please consult the Humber Learning Outcomes framework.
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Critical Thinking -
Communication -
Digital Fluency -
Strategic Problem-Solving
Course Description
This is an introductory course in the study of basic statistics for students of biological science. Emphasis is placed on understanding the fundamental principles and techniques of health statistics. The course will prepare entry level baccalaureate nurses to define and explain core descriptive and inferential statistical concepts and methods in order to improve the students' understanding and interpretation of research results in published health journals and reports. Students will also be introduced to statistical software for data entry, analysis and interpretation. Examples from current peer review articles in the health literature will be used to facilitate learning.
Course Rationale
Statistics play a crucial part in the decision-making process. Interpreting and understanding this information is necessary for success in the healthcare field.
Program Outcomes Emphasized in this Course
Nursing, Bachelor of Science (NR411)
Use the framework of relational inquiry through a variety of strategies and relevant technologies to communicate, collaborate, and coordinate in a professional manner with clients* and health care team members within, and across organizations, to support the delivery of safe, high-quality, and innovative health care.
Nursing - RPN to BScN Bridging, Bachelor of Science (NR4B1)
Course Learning Method(s)
- Lecture
- Online
Course Learning Outcomes (CLO)
| Learning Outcome | Learning Objectives | Summative Assessments | Formative Assessments |
|---|---|---|---|
| Distinguish between qualitative and quantitative data, and among nominal, ordinal, interval, and ratio data. |
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| Describe different types of data using graphical (stem and leaf diagrams, frequency distributions, histograms, ogive, and box plots) and numerical (mean, median, mode, range, standard deviation, variance, and coefficient of variation) methods of descriptive statistics. |
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| Calculate simple probabilities including Bayes' Theorem. |
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| Solve a variety of applied problems using the properties of the normal distribution. |
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| Apply the Central Limit Theorem to find and understand probabilities of sampling distributions. |
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| Construct confidence intervals for population mean using Normal z and Student's t–distributions. |
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| Perform hypothesis testing (z test and t test) for means from one population, and difference of means from two populations, including finding and interpreting p-value and examining Type I and Type II error. |
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| Perform simple linear regression analysis including the significance hypothesis test using statistical computer software, SPSS. |
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| Perform chi-square test for contingency tables. |
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| Interpret computer output from SPSS for both descriptive and inferential statistics. |
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Assessment Weighting
| Assessment | Weight |
|---|---|
| Writing Assignment | |
| Assignments | 30% |
| Quiz | |
| Quizzes | 10% |
| Midterm Exam | |
| Mid-term Exam | 30% |
| Final Exam | |
| Final Exam | 30% |
| Total | 100% |
Modules of Study
| Module | Course Learning Outcomes | Resources | Assessments |
|---|---|---|---|
| Module 1: Introduction to Statistics |
|
Chapter 1 |
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| Module 2: Descriptive Statistics (Graphical Methods) |
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Chapter 2 |
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| Module 3: Descriptive Statistics (Summary Statistics, Empirical Rule) |
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Chapter 3 Professor’s Notes on Empirical Rule |
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| Module 4: Probability (Definition, Addition/Multiplication Rules Conditional Probability, Bayes’ Theorem) |
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Chapter 4 |
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| Module 5: The Normal Distribution |
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Chapter 6 |
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| Module 6: Sampling Distribution and Central Limit Theorem |
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Chapter 6 |
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| Module 7: Estimation and Confidence Intervals for population mean, Student’s t-distribution, Determining sample size |
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Chapter 7 |
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| Module 8: Hypothesis Testing: One-Sample Inference |
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Chapter 8 |
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| Module 9: Hypothesis Testing: Two-Sample Inference (Independent and Dependent) |
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Chapter 9 |
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| Module 10: Regression and Correlation Methods |
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Chapter 10 |
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| Module 11: Chi-Square Test |
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Chapter 11 |
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Required Resources
| Title | ISBN |
|---|---|
|
Triola, Triola & Roy. (2018). Biostatistics for Health and Biological Science. (2nd ed.) Pearson. Loose-leaf Version: ISBN: 9780134039022 |
|
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OR Triola, Triola & Roy. (2023). Biostatistics for Health and Biological Science. (3rd ed.) Pearson. ISBN-13: 9780137864102 |
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Students enrolled in online sections of the course may be required to come to campus to write the tests and exams. |
Resource(s):
Course material costs can be found through the Humber Bookstore.
Additional Tools and Equipment
- Hand-held calculator (programmable calculator, lap-top, or any other electronic communication devices are not permitted during testing & examinations)
- SPSS, available in the computer lab.
Prior Learning Assessment & Recognition (PLAR)
Prior Learning Assessment and Recognition (PLAR) is the formal evaluation and credit-granting process whereby candidates may obtain credits for prior learning. Prior learning includes the knowledge competencies and skills acquired, in both formal and informal ways, outside of post-secondary education. Candidates may have their knowledge, skills and competencies evaluated against the learning outcomes as defined in the course outline. Please review the Assessment Methods Glossary for more information on the Learning Portfolio assessment methods identified below.
The method(s) that are used to assess prior learning for this course may include:
- Challenge Exam (results recorded as a % grade and added to student’s CGPA)
Please contact the Program Coordinator for more details.
Course Specific Policies and Expectations
Students enrolled in the Nursing-Second-Entry Preparation program require a minimum 75% final grade in this course before moving into the Bachelor of Science - Nursing program.
Students enrolled in the Bachelor of Science - Nursing program or Nursing-RPN to BScN Bridging program require a minimum 60% final grade to pass this course.
Academic Regulations
It is the student's responsibility to be aware of the College Academic Regulations. The Academic Regulations apply to all applicants to Humber and all current students enrolled in any program or course offered by Humber, in any location. Information about academic appeals is found in the Academic Regulations.
Anti-Discrimination Statement
At Humber College, all forms of discrimination and harassment are prohibited. Students and employees have the right to study, live and work in an environment that is free from discrimination and harassment. If you need assistance on concerns related to discrimination and harassment, please contact the Centre for Human Rights, Equity and Inclusion or the Office of Student Conduct.
Accessible Learning Services
Humber strives to create a welcoming environment for all students where equity, diversity and inclusion are paramount. Accessible Learning Services facilitates equal access for students with disabilities by coordinating academic accommodations and services. Staff in Accessible Learning Services are available by appointment to assess specific needs, provide referrals and arrange appropriate accommodations. If you require academic accommodations, contact:
North Campus: (416) 675-6622 X5090
Lakeshore Campus: (416) 675-6622 X3331
Academic Integrity
Academic integrity is essentially honesty in all academic endeavors. Academic integrity requires that students avoid all forms of academic misconduct or dishonesty, including plagiarism, cheating on tests or exams or any misrepresentation of academic accomplishment.
Disclaimer
While every effort is made by the professor/faculty to cover all material listed in the outline, the order, content, and/or evaluation may change in the event of special circumstances (e.g. time constraints due to inclement weather, sickness, college closure, technology/equipment problems or changes, etc.). In any such case, students will be given appropriate notification in writing, with approval from the Senior Dean (or designate) of the Faculty.
Copyright
Copyright is the exclusive legal right given to a creator to reproduce, publish, sell or distribute his/her work. All members of the Humber community are required to comply with Canadian copyright law which governs the reproduction, use and distribution of copyrighted materials. This means that the copying, use and distribution of copyright- protected materials, regardless of format, is subject to certain limits and restrictions. For example, photocopying or scanning an entire textbook is not allowed, nor is distributing a scanned book.
See the Humber Libraries website for additional information regarding copyright and for details on allowable limits.
Humber College Institute of Technology and Advanced Learning • 2024/2025.