Sooner or later, we all need to deal with data. Whether you are part of a team developing and analyzing a clinical trial, work on site monitoring, part of a product development team, or managing manufacturing systems, understanding and presenting data is a critically important skill. While all of this sounds good in theory, if you have limited experience with statistics you are left asking the question “where do I start?”
This interactive, 120-minute session will give you the tools to interpret data, detect errors, and help you organize your data in an easy to understand format. This course will give you a foundation in biostatistics by detailing numerical summaries like mean, median, mode, variance, standard deviation, range, interquartile range (IQR), and coefficient of variation (CV). You will learn the best ways to summarize data in graphical and numeric forms. Additionally, you will develop the necessary skills to employ graphics to summarize data including histograms, boxplots, bar graphs, etc. Finally, you will learn to use the most appropriate statistical summary based on properties of your data. Course content will be presented with pertinent examples including valid conclusions.
Come to the presentation and you will be able to:
- Develop a foundational understanding of statistical principles
- Use software to create graphs and numerical summaries of data (we will be using the free, open-source rcommander software)
- Understand which types of summarizations should be used for a given situation
- Understand how to interpret data and data summarizations
- Identify what to look for to identify a suspect data summarization