A technique-oriented approach to statistical problems with emphasis on applications. Descriptive statistics, probability distributions, estimation, testing hypotheses, t-test, regression and correlation, chi-square tests, one-way analysis of variance. A statistical software package will provide computational assistance. Fulfills Foundations - Mathematical Sciences.
Prerequisite: MTH 110 (Algebra)
Your section meets synchronously online once a week.
| Section 13 | Sat | 9 - 11:50 am | Blackboard Collaborate |
All class meetings will be recorded and made available to learners in Blackboard.
The course material is split into six Learning Modules. Each Learning Module contains two or three Learning Questions that will facilitate our progression through the content. A Learning Question corresponds roughly to one week of material and we will follow a before, during, and after pattern for covering this material. This pattern is discussed in more detail in Course Structure.
| Introductory Applied Statistics – A Variable Approach | John Gabrosek & Paul Stephenson | Version 2.1, August 2017 |
Details on how to purchase and access the textbook are provided in the resources section of this site.
This introduction to statistics will show learners how data can be used to answer research questions. We will work through activities that introduce key ideas and longer applications to expand our understanding.
Click through the three personas below to see who this course has been designed for.
