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Statistics for Data Analysis MATH 1060

Mathematics Part-time Studies Course

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

Fall 2022

Below are two offerings of MATH 1060 for the Fall 2022 term.

CRN 45335

Duration

Tue Sep 13 - Tue Dec 06 (13 weeks)

  • 13 weeks
  • CRN 45335
  • $687.97
Class meeting times
Dates Days Times Locations
Sep 13 - Dec 06 Tue 18:00 - 21:00 Burnaby SE12 Rm. 312
Instructor

Vahid Dabbaghian

Course outline

Course outline TBD — see Learning Outcomes in the interim.

Cost

$687.97

Important information
  1. Refreshing your math skills prior to starting MATH 1060 is strongly recommended and we suggest taking MATH 0060.
Status

Full

This course offering is full. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

CRN 44519

Duration

Wed Sep 14 - Wed Dec 07 (13 weeks)

  • 13 weeks
  • CRN 44519
  • $687.97
Class meeting times
Dates Days Times Locations
Sep 14 - Dec 07 Wed 18:30 - 21:30 Online
Nov 02 Wed 18:30 - 21:30 Burnaby SE06 Rm. 107
Dec 07 Wed 09:30 - 12:30 Burnaby SE06 Rm. 107
Instructor

Seyyed Hosseini

Course outline

Course outline TBD — see Learning Outcomes in the interim.

Cost

$687.97

Important information
  1. Important course information will be sent to you prior to your course start date. Check your myBCIT email account to access this information.
  2. COURSE FORMAT IS SYNCHRONOUS ONLINE LECTURES WITH IN-PERSON MIDTERMS AND FINALS. THIS COURSE IS NOT APPROPRIATE FOR STUDENTS LIVING OUTSIDE OF CANADA. MIDTERM: Wednesday, November 2nd, 2022 FINAL: Wednesday, December 7th, 2022 Refreshing your math skills prior to starting MATH 1060 is strongly recommended and we suggest taking MATH 0060.
Status

Full

This course offering is full. Please check back next term, subscribe to receive email updates or contact us with your comments or questions.

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

  1. Applied Data Analytics
    Certificate Part-time
  2. Computer Systems
    Diploma Part-time

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  • Privacy Notice: The information you provide will be used to respond your request for BCIT course information and is collected under Section 26(c) of the Freedom of Information and Protection of Privacy Act (FIPPA). For more information about BCIT’s privacy practices contact: Associate Director, Privacy, Information Access & Policy Management, British Columbia Institute of Technology, 3700 Willingdon Ave. Burnaby, BC V5A 3H2, email: privacy@bcit.ca.