An introduction to descriptive statistics, graphing and data analysis, probability laws, discrete and continuous probability distributions, correlation and regression, inferential statistics. No ...

Introduction to probability, random processes and basic statistical methods to address the random nature of signals and systems that engineers analyze, characterize and apply in their designs. It ...

In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...

Collecting data; summarizing and displaying data; drawing conclusions and making decisions using data; probability background, confidence intervals, hypotheses tests, regression, correlation. Not open ...

This course introduces students to statistics and quantitative information. The course surveys probability theory, hypothesis testing, descriptive statistics and visualizations, and inferential ...

Articulate the primary interpretations of probability theory and the role these interpretations play in Bayesian inference Use Bayesian inference to solve real-world statistics and data science ...

Extra Help: The Statistics Workshop is run by Marie Loughin and she can be contacted through email at [email protected]. The Statistics Workshop is an excellent resource for STAT 270. The workshop is ...

The purpose of the course is to introduce the statistical methods that are critical in the performance analysis and selection of information systems and networks. It includes fundamental topics as ...

We are not currently accepting applications for this course. Register your interest below to be notified when applications open again. This is an introductory course on statistics and how it can help ...

Cynthia Frelund dives into the numbers to quantify the impact of pressure using Next Gen Stats' new Pressure Probability model. Cynthia Frelund dives into the numbers to quantify the impact of Tackle ...