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time is up

What should intro stat cover in this era of abundant data?

Created by Kari Lock Morgan for ECOTS 2018 to accompany https://www.causeweb.org/cause/ecots/ecots18/breakouts/6


saved
Ideas
Pros and cons
 
Votes
Data visualizatoin as ghe way to explore rich found data
 
Data viz is a gateway drug to statistics
7
 
Go beyond the standard "easy" graphs to show interesting relationships as in Gapminder
5
 
Great way to engage students very early in the course.
1
 
10

Kari Lock Morgan, PFL, Robin and 7 more

Understanding real world data sets
 
This helps students to see the true power of statistics in real world.
by Laura
2
 
10

Melissa Crow, Laura Smallwood, Kari Lock Morgan and 7 more

Multivariate thinking and confounding
 
My students ask about the confounders anyway.
by Beverly W.
8

PFL, Laura, Dr. Larry and 5 more

Explain Statistical Concepts using Simulation-Based Inference
by Debmalya Nandy
 
SB Instruction has been a real winner in my classroom!
by Laura
3
7

Melissa Crow, Laura Smallwood, Robin and 4 more

Inferring Causation
by Peter
 
Students are often so wrapped up in the idea that correlation does not imply causation that they ... more
3
4

Melissa Crow, Kari Lock Morgan, Susanne Podworny and 1 more

Ethical handling of data and information
by Delil
 
especially related to web-scraping and other data acquisition off "publicly" available data sources
by Melinda
3
4

Melissa Crow, Melinda, Beverly W. and 1 more

Basic Coding (starting with R, maybe?)
by Debmalya Nandy
 
Baumer et al showed that intro stats students can easily master R Markdown and start to learn abo... more
1
 
Con: My students struggle with Minitab Express, I don't know if they could handle coding
3
 
I agree that this might be too much for the first course given that so many of my students strugg... more
 
There are a lot of new resources for teaching R to intro students, with immediate assessment/feed... more
by Melissa
1
4

Laura Smallwood, Eric Stephens, Debmalya Nandy and 1 more

Multiple Testing
by Christopher Peter Makris
 
In order to teach that we shouldn't just "throw everything to the wall and see what sticks."
by Christopher Peter Makris
 
These concepts can be introduced via an applet (e.g. in Shiny) with no calculation by the students.
1
2
Kari Lock Morgan
Whitney
Actually collect your own dataset; contrast with the process of finding available data
by Jerzy Wieczorek
 
Benefits in addressing the issues that need to be of concern to the students: -Collecting your... more
by Christopher Peter Makris
2
Beverly W.
Christopher Peter Makris
Data Munging
 
Students need to practice "data moves" to understand the power of data science and statistics
2
Melinda
Susanne
Let students play with large datasets with many variables (but still rectangular)
2
Beverly W.
Kari Lock Morgan
Reproducible Research Tools (e.g. RMarkdown, Git & GitHub, etc.)
by Debmalya Nandy
2
Debmalya Nandy
Emily AC
Tree models
 
Simple tree methods are accessible and introduce aspects of machine learning and predictive analy... more
1
BW
purposeful sampling - in the context of big data
1
Whitney
example idea
by Kari Lock Morgan
 
example con
by Kari Lock Morgan
1
0

Comments

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