Presentation is loading. Please wait.

Presentation is loading. Please wait.

StatKey Online Tools for Teaching a Modern Introductory Statistics Course Robin Lock Burry Professor of Statistics St. Lawrence University

Published byErik Woods Modified over 8 years ago

Similar presentations

Presentation on theme: "StatKey Online Tools for Teaching a Modern Introductory Statistics Course Robin Lock Burry Professor of Statistics St. Lawrence University"— Presentation transcript:

1 StatKey Online Tools for Teaching a Modern Introductory Statistics Course Robin Lock Burry Professor of Statistics St. Lawrence University rlock@stlawu.edu Syracuse ASA Panel on Technology in Statistics Education Onondaga Community College, November 2013

2 What is it? Freely available at lock5stat.com/statkey Runs in (almost) any browser. Also available as a Google Chrome App. A set of web-based, interactive, dynamic statistics tools designed for teaching simulation-based methods such as bootstrap intervals and randomization tests at an introductory level. StatKey

3 Who Developed StatKey? The Lock 5 author team to support a new text: Statistics: Unlocking the Power of Data Robin & Patti St. Lawrence Dennis Iowa State Eric UNC/Duke Kari Harvard/Duke Wiley (2013)

4 Programming Team Rich Sharp Stanford Ed Harcourt St. Lawrence Kevin Angstadt St. Lawrence StatKey is programmed in JavaScript StatKey

5

6 Examples 1. Does drinking beer attract mosquitoes? (Randomization test to compare means) 2. Mean mercury in Florida lakes (Bootstrap CI for a mean) You can find videos of StatKey demonstrations similar to these examples at https://sites.google.com/site/lock5stat/home/help-videos

7 Beer and Mosquitoes Does consuming beer attract mosquitoes? Experiment: 25 volunteers drank a liter of beer, 18 volunteers drank a liter of water Randomly assigned! Mosquitoes were caught in traps as they approached the volunteers. 1 1 Lefvre, T., et. al., “Beer Consumption Increases Human Attractiveness to Malaria Mosquitoes, ” PLoS ONE, 2010; 5(3): e9546. Beer mean = 23.6 Water mean = 19.22 H 0 : μ B =μ W H 0 : μ B >μ W

8 p-value = proportion of samples, when H 0 is true, that are as (or more) extreme as the original sample. p-value

9 What is the average level of mercury in fish in Florida lakes? Select fish from a random sample of 53 Florida lakes and record the mercury level. Key concept: How much can we expect such sample means to vary just by random chance? Bootstrap!

10 We are 95% sure that the mean mercury level in Florida lake fish between 0.438 and 0.621 ppm

11 Paper Stat Tables StatKey

12 lock5stat.com/statkey StatKey Give it a try! Questions? rlock@stlawu.edu

Download ppt "StatKey Online Tools for Teaching a Modern Introductory Statistics Course Robin Lock Burry Professor of Statistics St. Lawrence University"

Similar presentations

Panel at 2013 Joint Mathematics Meetings

Panel at 2013 Joint Mathematics Meetings
Introducing Hypothesis Tests

Introducing Hypothesis Tests
StatKey Online Tools for Teaching a Modern Introductory Statistics Course Robin Lock St. Lawrence University USCOTS Breakout – May 2013 Patti Frazer Lock.

StatKey Online Tools for Teaching a Modern Introductory Statistics Course Robin Lock St. Lawrence University USCOTS Breakout – May 2013 Patti Frazer Lock.
What Can We Do When Conditions Arent Met? Robin H. Lock, Burry Professor of Statistics St. Lawrence University BAPS at 2012 JSM San Diego, August 2012.

What Can We Do When Conditions Arent Met? Robin H. Lock, Burry Professor of Statistics St. Lawrence University BAPS at 2012 JSM San Diego, August 2012.
Confidence Intervals: Bootstrap Distribution

Confidence Intervals: Bootstrap Distribution
Statistical Inference Using Scrambles and Bootstraps Robin Lock Burry Professor of Statistics St. Lawrence University MAA Allegheny Mountain 2014 Section.

Statistical Inference Using Scrambles and Bootstraps Robin Lock Burry Professor of Statistics St. Lawrence University MAA Allegheny Mountain 2014 Section.
What Can We Do When Conditions Aren’t Met? Robin H. Lock, Burry Professor of Statistics St. Lawrence University BAPS at 2014 JSM Boston, August 2014.

What Can We Do When Conditions Aren’t Met? Robin H. Lock, Burry Professor of Statistics St. Lawrence University BAPS at 2014 JSM Boston, August 2014.
Bootstraps and Scrambles: Letting Data Speak for Themselves Robin H. Lock Burry Professor of Statistics St. Lawrence University Science.

Bootstraps and Scrambles: Letting Data Speak for Themselves Robin H. Lock Burry Professor of Statistics St. Lawrence University Science.
Using Randomization Methods to Build Conceptual Understanding in Statistical Inference: Day 1 Lock, Lock, Lock Morgan, Lock, and Lock MAA Minicourse –

Using Randomization Methods to Build Conceptual Understanding in Statistical Inference: Day 1 Lock, Lock, Lock Morgan, Lock, and Lock MAA Minicourse –
Using Randomization Methods to Build Conceptual Understanding in Statistical Inference: Day 1 Lock, Lock, Lock, Lock, and Lock MAA Minicourse – Joint Mathematics.

Using Randomization Methods to Build Conceptual Understanding in Statistical Inference: Day 1 Lock, Lock, Lock, Lock, and Lock MAA Minicourse – Joint Mathematics.
Simulating with StatKey Kari Lock Morgan Department of Statistical Science Duke University Joint Mathematical Meetings, San Diego 1/11/13.

Simulating with StatKey Kari Lock Morgan Department of Statistical Science Duke University Joint Mathematical Meetings, San Diego 1/11/13.
StatKey Online Tools for Teaching a Modern Introductory Statistics Course Robin Lock Burry Professor of Statistics St. Lawrence University

StatKey Online Tools for Teaching a Modern Introductory Statistics Course Robin Lock Burry Professor of Statistics St. Lawrence University
Hypothesis Testing: Intervals and Tests

Hypothesis Testing: Intervals and Tests
Early Inference: Using Bootstraps to Introduce Confidence Intervals Robin H. Lock, Burry Professor of Statistics Patti Frazer Lock, Cummings Professor.

Early Inference: Using Bootstraps to Introduce Confidence Intervals Robin H. Lock, Burry Professor of Statistics Patti Frazer Lock, Cummings Professor.
Intuitive Introduction to the Important Ideas of Inference Robin Lock – St. Lawrence University Patti Frazer Lock – St. Lawrence University Kari Lock Morgan.

Intuitive Introduction to the Important Ideas of Inference Robin Lock – St. Lawrence University Patti Frazer Lock – St. Lawrence University Kari Lock Morgan.
Models and Modeling in Introductory Statistics Robin H. Lock Burry Professor of Statistics St. Lawrence University 2012 Joint Statistics Meetings San Diego,

Models and Modeling in Introductory Statistics Robin H. Lock Burry Professor of Statistics St. Lawrence University 2012 Joint Statistics Meetings San Diego,
Section 3.4 Bootstrap Confidence Intervals using Percentiles.

Section 3.4 Bootstrap Confidence Intervals using Percentiles.
A Fiddler on the Roof: Tradition vs. Modern Methods in Teaching Inference Patti Frazer Lock Robin H. Lock St. Lawrence University Joint Mathematics Meetings.

A Fiddler on the Roof: Tradition vs. Modern Methods in Teaching Inference Patti Frazer Lock Robin H. Lock St. Lawrence University Joint Mathematics Meetings.
Connecting Simulation- Based Inference with Traditional Methods Kari Lock Morgan, Penn State Robin Lock, St. Lawrence University Patti Frazer Lock, St.

Connecting Simulation- Based Inference with Traditional Methods Kari Lock Morgan, Penn State Robin Lock, St. Lawrence University Patti Frazer Lock, St.
StatKey: Online Tools for Bootstrap Intervals and Randomization Tests Kari Lock Morgan Department of Statistical Science Duke University Joint work with.

StatKey: Online Tools for Bootstrap Intervals and Randomization Tests Kari Lock Morgan Department of Statistical Science Duke University Joint work with.

Similar presentations

Ads by Google