MATH 1111: Introduction to Statistics
Description
This course introduces the fundamental ideas of statistics that can be applied to any discipline. Topics include: collection, organization, and presentation of data, inference estimation, hypothesis testing, correlation and regression. The course is designed to analyze real-life data using statistical methods. A statistical software program will be used to facilitate the understanding of statistical concepts and analysis of data sets.
Year of study
1st Year Post-secondary
Prerequisites
Foundations of Mathematics 11 with a 'C' or equivalent, or active registration with the British Columbia College of Nurses and Midwives (BCCNM).
Course Learning Outcomes
Upon successful completion of this course, students will be able to:
- Analyze, summarize and present data in a systematic way, and critically interpret data from a wide variety of fields
- Apply the concepts of populations and samples and determine appropriate measures of variation
- Apply the Central Limit Theorem and determine appropriate sample sizes
- Perform hypothesis tests on one and two sample sets of data for means, proportions and variances
- Apply the concepts of probability, random variables and their distributions, in particular the normal and binomial distributions
- Determine means of estimation using confidence intervals
- Perform Goodness-of-Fit tests using contingency tables
- Perform calculations, present and interpret output using an appropriate statistical package
Prior Learning Assessment & Recognition (PLAR)
Recognition - Math 1111 Challenge Exam
Hours
Lecture, Online, Seminar, Tutorial: 60
Total Hours: 60
Instructional Strategies
Lectures coupled with statistics software exercises. For the online option, the learning environment will encompass facilitation of discussion, self-directed learning, project work and collaborative learning.
Grading System
Letter Grade (A-F)
Evaluation Plan
Type
|
Percentage
|
Assessment activity
|
Assignments
|
30-35
|
|
Midterm Exam
|
15-35
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Written, MC, SA, problems. For in-class option, Midterm Exam is worth 30-35%. For online option, Midterm Exam is worth 15%.
|
Project
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10
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For online option, Project is worth 10%.
|
Participation
|
10
|
For online option, Participation is worth 10%.
|
Final Exam
|
35
|
For online option, at least 50% on the Final Exam is required to pass the course. Final Exam is required to be written in-person.
|
Course topics
- Describing distributions graphically and numerically
- Normal probablility distribution
- Relationships and correlation
- Regression, residuals and inference for regression
- Sampling and design of experiments
- Probability concepts, models and distributions
- Confidence intervals and tests of significance
- Inference about population means, two-sample problems
- Inference about population proportion, comparing two proportions
- The chi-square test
Notes:
- Course contents and descriptions, offerings and schedules are subject to change without notice.
- Students are required to follow all College policies including ones that govern their educational experience at VCC. Policies are available on the VCC website at:
https://www.vcc.ca/about/governance--policies/policies/.
- To find out if there are existing transfer agreements for this course, visit the BC Transfer Guide at https://www.bctransferguide.ca.