Statistical Literacy 13 years experience in business. Sr. - - PDF document

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Statistical Literacy 13 years experience in business. Sr. - - PDF document

Statistical Literacy: An Introduction 3/3/2018 Milo Schield Schield@Augsburg.edu Statistical Literacy 13 years experience in business. Sr. Consultant and Sr. Operations Research Manager by Milo Schield Over 20 years experience with


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Statistical Literacy: An Introduction 2018‐Schield‐Gartner‐Slides.pdf Page 1 3/3/2018

Statistical Literacy

by Milo Schield

Gartner 2018 Data and Analytics Summit

Milo Schield

Schield@Augsburg.edu 13 years experience in business.
  • Sr. Consultant and Sr. Operations Research Manager
Over 20 years experience with statistical literacy:
  • Designed the first statistical literacy course in 1998
  • #1 website www.StatLit.org: 280,000 visits in 2017
  • 70 papers on statistical literacy with 660 citations.
  • Described as “the movement’s leading voice.”

Marc Isaacson

Marc@Quant-Fluent.com 10 years experience in business 15 years experience in Statistical Literacy 2003: Designs first online statistical‐literacy course Designed assessment activities and questions Assessed undergrad and MBA students

Statistical Literacy

Competency and Assessment Analyzed the use of statistics:
  • Analyzed graphs in USA Today
  • Analyzed tables in the US Statistical Abstract
  • Analyzed statistical ideas in Harvard case studies
Identified over 100 specific competencies:
  • Created over a thousand questions or activities
Assessed statistical literacy competency world‐wide
  • US undergrad & MBA students: Over a thousand.
  • Teachers in high‐school and college: US , Australia & South Africa
  • Professional data analysts in Census Bureau: US & South Africa
.

Statistical Literacy

Statistically literate: able to read, interpret and evaluate statistics as evidence in arguments. Audience is consumers: those who use statistics to make decisions What are the two most fundamental ideas?
  • 1. Statistics are numbers in context
  • 2. All statistics are socially‐constructed.

Statistics: numbers in context

Statistics are numbers in context; the words matter! Numbers: 6 plus 7 = 13. 60% + 70% = 130% Company has 60% market‐share on East half of US; a 70% market‐share on West half. What is their market share in the entire US? 130%? No!!! ‘Market share’ changes the context.
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Statistical Literacy: An Introduction 2018‐Schield‐Gartner‐Slides.pdf Page 2 3/3/2018

Statistics: socially constructed

Statistics are like diamonds! . 8 .

Gatlinburg: $95/night

.

Planned Parenthood

.

Look closely at these numbers!

.

Ask Questions!

.

Victims: MV School-Shooting

. 4.4 / year
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Statistical Literacy: An Introduction 2018‐Schield‐Gartner‐Slides.pdf Page 3 3/3/2018

13 .

School-shootings; Mass killings Statistical Literacy: An Art! Evaluate Strength of Evidence

Classify all the influences on a statistic into four groups: C: Context/confounding: Study design; effect size; control for; ordinary English for rates, %. A: Assembly: definitions, groups and measures R: Randomness: margin of error, statistical significance; Coincidence; Confounder effect on statistical significance E: Error or Bias (subject, measurement and sampling) . 15 Two Types of Assessment Self‐report (attitudes) vs Competency (skills) Competency Based Quant‐Fluent and TUVA https://gartnerdatasummit‐demo.tuvalabs.com/ www.Quant‐Fluent.com

Assess Statistical Literacy

16 Marc Isaacson, Quant‐Fluent Marc@Quant‐Fluent.com Harshill Parikh, TUVA hsparikh@tuvalabs.com https://gartnerdatasummit‐demo.tuvalabs.com/ www.Quant‐Fluent.com

Schedule a meeting!

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St Statistical L Liter eracy

by Milo Schield

Gartner 2018 Data and Analytics Summit

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Milo Schield

Schield@Augsburg.edu 13 years experience in business.

  • Sr. Consultant and Sr. Operations Research Manager

Over 20 years experience with statistical literacy:

  • Designed the first statistical literacy course in 1998
  • #1 website www.StatLit.org: 280,000 visits in 2017
  • 70 papers on statistical literacy with 660 citations.
  • Described as “the movement’s leading voice.”
slide-6
SLIDE 6

Marc Isaacson

Marc@Quant-Fluent.com 10 years experience in business 15 years experience in Statistical Literacy 2003: Designs first online statistical-literacy course Designed assessment activities and questions Assessed undergrad and MBA students

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SLIDE 7

Statistical Literacy

Competency and Assessment

Analyzed the use of statistics:

  • Analyzed graphs in USA Today
  • Analyzed tables in the US Statistical Abstract
  • Analyzed statistical ideas in Harvard case studies

Identified over 100 specific competencies:

  • Created over a thousand questions or activities

Assessed statistical literacy competency world-wide

  • US undergrad & MBA students: Over a thousand.
  • Teachers in high-school and college: US , Australia & South Africa
  • Professional data analysts in Census Bureau: US & South Africa

.

slide-8
SLIDE 8

Statistical Literacy

Statistically literate: able to read, interpret and evaluate statistics as evidence in arguments. Audience is consumers: those who use statistics to make decisions What are the two most fundamental ideas?

  • 1. Statistics are numbers in context
  • 2. All statistics are socially-constructed.
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SLIDE 9

Statistics: numbers in context

Statistics are numbers in context; the words matter! Numbers: 6 plus 7 = 13. 60% + 70% = 130% Company has 60% market-share on East half of US; a 70% market-share on West half. What is their market share in the entire US? 130%? No!!! ‘Market share’ changes the context.

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SLIDE 10

Statistics: socially constructed

Statistics are like diamonds!

.

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SLIDE 11

8

.

Gatlinburg: $95/night

.

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SLIDE 12

Planned Parenthood

.

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SLIDE 13

Look closely at these numbers!

.

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SLIDE 14

Ask Questions!

.

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SLIDE 15

Victims: MV School-Shooting

.

4.4 / year

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SLIDE 16

13

.

School-shootings; Mass killings

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SLIDE 17

Statistical Literacy: An Art! Evaluate Strength of Evidence

Classify all the influences on a statistic into four groups: C: Context/confounding: Study design; effect size; control for; ordinary English for rates, %. A: Assembly: definitions, groups and measures R: Randomness: margin of error, statistical significance; Coincidence; Confounder effect on statistical significance E: Error or Bias (subject, measurement and sampling)

.

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SLIDE 18

15

Two Types of Assessment Self-report (attitudes) vs Competency (skills) Competency Based Quant-Fluent and TUVA

https://gartnerdatasummit-demo.tuvalabs.com/ www.Quant-Fluent.com

Assess Statistical Literacy

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SLIDE 19

16

Marc Isaacson, Quant-Fluent Marc@Quant-Fluent.com Harshill Parikh, TUVA hsparikh@tuvalabs.com

https://gartnerdatasummit-demo.tuvalabs.com/ www.Quant-Fluent.com

Schedule a meeting!