THE PROFESSIONAL DEVELOPMENT INITIATIVE PRESENTS:
DATA LITERACY: BUSTING MYTHS OF BIG DATA
PART 2
Dr. Nairanjana Dasgupta, Boeing Science/Math Education Distinguished Professor in Mathematics and Statistics
In this workshop we will focus on learning about the what, when, how and whys of data. Data is pervasive these days and like it or not we have to use data to make decisions or others will make them for us. In this workshop we will start from the basics and talk about types of data and we can say and cannot say about the different types of data. We will keep it flexible and cover topics that attendees are interested in from the list below. This is not meant to replace any of your Stats classes, more of a philosophical overview of making data based decisions. Some of the topics we will cover are given below:
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- Making decisions from data
- Going from sample to population
- Inference and decision making
- Estimation and Intervals
- Testing and Confidence Intervals
- Errors in testing: Type I and Type II
- Power
- Statistical significance
- P-value — good, bad or misused
- ASA’s statement about p-values
- Big data: pros and cons
- What are the advantages of big data?
- What do we mean by big? Big n or big p?
- Decision making with big data
- Predictive analytics
- Population versus sample
More information on our Data Literacy: Busting Myths of Big Data Part I here
All PDI events will be available to sites other than Pullman through a web link that will be emailed to you before the event. Please make sure to register on the link below and indicate at which WSU site you are located.
Please register for the event by clicking on the following link: