MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
What You Will Learn
- Create a plan to answer business and engineering questions.
- Calculate effect size, power and sample size to reduce risk in decision making.
- Distinguish between best- and worst-case scenarios given point and interval estimates.
Syllabus
WEEK 1
Fundamentals of Sampling
Upon completion of this module, students will be able to classify types of sampling used for data acquisition, describe sampling error, and construct random number sequences for sampling.
WEEK 2
Estimation
Upon completion of this module, students will be able to calculate point and interval estimates using RStudio and ROIStat.
WEEK 3
Best Case / Worst Case Analysis
Upon completion of this module, students will be able to use point and interval estimates to determine best- and worst-case scenarios.
WEEK 4
Foundations of Hypothesis Testing
Upon completion of this module, students will be able to plan for data acquisition to minimize risk in decision making, including sample size, effect size and power calculations.
WEEK 5
Essentials for Effect Size Calculations
Upon completion of this module, students will be able to use return on investment calculations to determine effect size, sample size and power using RStudio and ROIStat.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.