ACE 262
Fall 2020 Part of Term 1
Part of Term 1
Aug 24-Dec 9
Aug 24-Dec 9
Applied Statistical Methods and Data Analytics I
Credit: 3 hours.
Statistics is a key tool in the data analysis process, which involves data collection, data description, data analysis, and results interpretation. ACE 262 discusses how to collect data and how to analyze these data using descriptive statistics. Descriptive statistics help summarize the data in a meaningful way and identify possible patterns. The course also introduces random variables, probability distributions, and simple linear regression, which serves as a transition to ACE 264, a course on inferential statistics.
Credit is not given for ACE 262 if credit for any of ECON 202, CPSC 241, STAT 100, or equivalent has been earned. Prerequisite: MATH 124 or MATH 125.
Section Status updates every 10 minutes.
| CRN | Type | Section | Time | Day | Location | Instructor | Section Details | |
|---|---|---|---|---|---|---|---|---|
|
72898
|
Online Lab
Online Lecture
|
AS1
AS1
|
ARRANGED
ARRANGED
|
n.a.
n.a.
|
n.a.
n.a.
|
Ellison, B
Ellison, B
|
|