Course details
This hands-on course introduces descriptive statistics, basic inferential statistics, linear regression, and probability concepts and calculations. Emphasis throughout the course will be placed on using statistical methods for the exploration and analysis of data sets. This introduction will enable students to use statistics for data analysis, will prepare them for “Data Analytics/Mining,” and covers topics appropriate for anyone seeking a first statistics course. Labs and exercises employ standard graphical methods to represent statistical data. Hypothesis tests, including ANOVA, are used to test for significant differences between multiple groups. Students will be introduced to the open source R Programming language, a statistical analysis tool used to extract meaningful information from a variety of scientific, industrial and commercial data sets. Upon successful completion, students will be able to carry out calculations, perform statistical decision making and solve problems with involving collected data. This course prepares the student to move on to MATH 3060 and is a required course for the Applied Data Analytics Certificate offered by BCIT Computing.
Prerequisite(s)
- Math 12 Pre-Calculus or equivalent.
Credits
3.0
Cost
$687.97
Course offerings
Winter 2023
Below are two offerings of MATH 1060 for the Winter 2023 term.
CRN 85573
Duration
Wed Jan 04 - Wed Mar 29 (13 weeks)
- 13 weeks
- CRN 85573
- $687.97
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Jan 04 - Mar 29 | Wed | 18:30 - 21:30 | Online |
| Feb 22 | Wed | 18:30 - 21:30 | Burnaby SE12 Rm. 310 |
| Mar 29 | Wed | 18:30 - 21:30 | Burnaby SE12 Rm. 310 |
Instructor
Seyyed Hosseini
Course outline
Cost
$687.97
Important information
- Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
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***IMPORTANT INFORMATION READ CAREFULLY*** COURSE FORMAT IS SYNCHRONOUS ONLINE LECTURES AND HAS TWO MANDATORY EXAM SESSIONS on the BURNABY CAMPUS 1. Midterm: Wednesday, 22 February 2023 2. Final: Wednesday, 29 March 2023 Refreshing your math skills prior to starting MATH 1060 is strongly recommended and we suggest taking MATH 0060.
Status
In Progress
This course offering is in progress. Please check this page for other currently available offerings, subscribe to receive email updates or contact us with your comments or questions.
CRN 84201
Duration
Thu Jan 05 - Thu Mar 30 (13 weeks)
- 13 weeks
- CRN 84201
- $687.97
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Jan 05 - Mar 30 | Thu | 18:30 - 21:30 | Burnaby SE12 Rm. 324 |
Instructor
Vahid Dabbaghian
Course outline
Cost
$687.97
Important information
Status
In Progress
This course offering is in progress. Please check this page for other currently available offerings, subscribe to receive email updates or contact us with your comments or questions.
Spring/Summer 2023
Below are two offerings of MATH 1060 for the Spring/Summer 2023 term.
CRN 63915
Duration
Tue Apr 04 - Tue Jun 27 (13 weeks)
- 13 weeks
- CRN 63915
- $687.97
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| Apr 04 - Jun 27 | Tue | 18:00 - 21:00 | Burnaby SE12 Rm. 322 |
Instructor
Vahid Dabbaghian
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Cost
$687.97
Important information
Status
CRN 64938
Duration
Wed May 03 - Wed Jul 26 (13 weeks)
- 13 weeks
- CRN 64938
- $687.97
Class meeting times
| Dates | Days | Times | Locations |
|---|---|---|---|
| May 03 - Jul 26 | Wed | 17:30 - 20:30 | Burnaby SW03 Rm. 2695 |
Instructor
Masomeh Jamshid Nejad
Course outline
Course outline TBD — see Learning Outcomes in the interim.
Cost
$687.97
Important information
Status
Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Compute and understand the meaning of mean, median, range, standard deviation, variance, percentiles and standard scores.
- Use and understand standard graphical methods of representing statistical data.
- Use R to process and analyse data.
- Perform basic probability calculations.
- Solve problems with statistical variables that have a binomial, Poisson, normal or other probability distributions.
- Describe the basic procedures for null hypothesis testing; define, explain, illustrate basic concepts such as null and alternate hypotheses, type 1 and 2 errors, level of significance, critical values, test statistic, rejection region, one-tailed and two-tailed tests; power; determination of sample size.
- Carry out calculations and statistical tests related to sample means, sample proportions, chi-square distribution, and correlation and regression.
- Use ANOVA to test hypotheses on differences between multiple groups.
- Estimate with confidence intervals for population parameters (means, difference between means, difference between proportions).
- Apply principles of linear correlations and regression and determine correlation coefficients between different data variables.
- Use multiple regression to predict a response variable and determine the most significant predictor variables.
Effective as of Spring/Summer 2016
Related Programs
Statistics for Data Analysis (MATH 1060) is offered as a part of the following programs:
School of Computing and Academic Studies
- Applied Data Analytics
Certificate Part-time
- Computer Systems
Diploma Part-time
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