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Using Advertisements To Teach Statistical Literacy Rose Martinez-Dawson Senior Lecturer Department of Mathematical Sciences Robert M. Horton Secondary Mathematics Education Co-director of SC Center for Inquiry in Mathematics and Science Clemson University

Using Advertisements To Teach Statistical Literacy Rose Martinez-Dawson Senior Lecturer Department of Mathematical Sciences Robert M. Horton Secondary

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Using Advertisements To Teach Statistical Literacy

Rose Martinez-DawsonSenior Lecturer

Department of Mathematical Sciences

Robert M. HortonSecondary Mathematics Education

Co-director of SC Center for Inquiry in Mathematics and Science

Clemson University

Goal Of Seminar Understand the role advertisements can play in

teaching statistical literacy

• Overview of statistical literacy• Types of advertisements • Statistical literacy challenge categories• Ways to incorporate advertisements • Examples of advertisements to promote statistical

literacy• Overview of research • Demonstration• Sources and advantages of using advertisements

Modern Student

• Watches an average of 1500 hours of television each year– Sees approximately 20,000 thirty-second television

commercials (Herr)

• Average college student on the Internet 100 minutes per day (Anderson, 2001)– Online advertising is watched, on average, more than

15 minutes each month– Youtube is one of the most popular sites visited

• Average Youtube viewer watches more than 7 hours monthly (www.frankwbaker.com/mediause.htm).

Goal

“…to move students from a situation where they automatically believe everything they read in the media to one where they intelligently question data and claims...” (Watson, 1997)

Promote the ability to critically evaluate statistics encountered in everyday life.

Statistical Literacy:The Hierarchical Model

(Watson, 1997)

Tier 1

Basic understanding of statistical terminology

Tier 2

Understand terminology within social context to make inferences based on

everyday statistics

Tier 3

Develop “questioning attitude” which involves use of more sophisticated

concepts in order to challenge claims

Statistical Literacy

“Statistical literacy is more about questions than answers. It doesn’t have many answers, but it should help one to ask better questions and thereby make better judgments and decisions… Statistical literacy helps one answer the question asked of most statistics: “What does this mean?””

Schield, M. “Statistical literacy: Thinking critically about statistics” http://

www.augsburg.edu/ppages/schield

Statistical Literacy And The Media

“If evidence of the need for statistical literacy is found in the media, then the media is also an ideal vehicle to provide initial motivation for the study of statistics, applications of specific topics in the curriculum during instruction, and items for assessment in the final stages of learning.”

(Watson, 1997, pg 107)

Challenging Claims

Since the modern student is accustomed to advertising claims made on television and on the Internet, advertisements can be incorporated in course material to promote a “questioning attitude” of statistical information through challenging claims made in advertisements.

General Types Of Advertisements

Claims made in ads

Survey preference ads

Comparative performance ads

Tootsie Roll® popFlintstone® vitaminsGreat Grains® cerealAllstate® insurance

LiveActive® cottage cheese Prego® versus Ragu® spaghetti sauceJif® peanut butter

Bounty® paper towelsCharmin® toilet paperDuracell® versus Energizer® batteries

Statistical Literacy Challenge Categories

• Method

• Bias

• Reported statistic

• Definition

How was the study conducted?

Sampling method used?

Type of study?

Sample size?

Who conducted the study?

Agenda?

Question wording?

Coverage error?

Is the value a parameter or statistic?

How was the statistic obtained?

Definition used?

Could there be other definitions?

Statistical Literacy Challenge Categories

• Variation

• Generalize

• Lurking variable

• Causality

Variation?

Variation concerning statistic?

Statistic is an estimate

Can this information be used to generalize about a population?

To what population can results be generalized?

Other factors that may affect results?

Is correlation or causation implied?

Does one factor cause another?

Based on Utts (2002)

Ways To Incorporate Ads To Promote Statistical Literacy

• Use advertisements throughout statistics course

• Include advertisements in a section devoted to use of statistics in advertising

• Group project – create web site or PPT– www.clemson.edu/~martinr

• Homework assignments• Competition• Exams

Ways to Incorporate Ads

• Use an advertisement for a particular statistical topic

• Use an advertisement for many statistical topics

• Provide prompts about specific statistical topic(s) or statistical literacy challenge category

• Open-ended format (no prompts)

Claims Made In Ads Tootsie Roll® Pop

“How many licks does it take to get to the Tootsie roll center of a Tootsie Pop?”

http://www.youtube.com/watch?v=Q8PAJKlulKQ&feature=related

Challenges:

Method

Reported statistic

Definition

Variation

Claims Made In Ads

“Flintstones kids - 10 million strong and growing”

http://www.youtube.com/watch?

v=NTCcrXf2buQ

“Better nutrition”“No artificial sweeteners, no chemically modified fiber or no isolated fiber”

http://www.youtube.com/watch?

v=Dbtx0LMc0Iw

Challenges:

Method

Bias

Reported statistic

Variation

Generalize

Challenges:

Definition

Lurking variable

Causality

Survey Preference Ads LiveActive® Cottage Cheese

Challenges:

Method

Bias

Reported statistic

Definition

Generalize

Lurking variable

Causality

Survey Preference Ads

Prego® Versus Ragu® “Choosy moms choose Jif®”

http://www.youtube.com/watch?v=TtLRSt8J71s

Challenges:

Method

Bias

Definition

Variation

Generalize

Lurking variable

Challenges:

Method

Bias

Definition

Variation

Generalize

Lurking variable

http://www.youtube.com/watch?v=_0TsqVKmjAw&feature=related

Comparative Performance Ads Bounty® Paper Towels

http://www.youtube.com/watch?v=l42QAajzNVw

Challenges:

Method

Bias

Definition

Variation

Generalize

Comparative Performance Ads

Charmin® toilet paper Duracell® Versus Energizer®

http://www.youtube.com/watch?v=JAzqGuZfo00

Challenges:

Method

Bias

Reported statistic

Definition

Variation

Generalize

Lurking variable

Causality

Challenges:

Method

Bias

Reported statistic

Definition

Variation

Generalize

Lurking variable

Purpose of Research Using Advertisements

Compare students' challenges to advertisement claims made before and after taking an introductory statistics course focused on statistical literacy

Martinez-Dawson (2010)

Course Overview

• Statistics in Everyday Life – Sophomore level course taught at Clemson

University– Focused on promoting statistical literacy– “Everyday life module” format– Statistics in Advertising and Marketing one

section– Additional course information

www.clemson.edu/~martinr

Research

• Two advertisements and an article were given to students on first day of class and again on the final exam– Asked to list questions (challenges) they had

to statistical information in ads and article– Open-ended format to simulate real-life

experience

What questions might you have concerning Allstate’s claim that there are “6 million car accidents every year in America?”

Significant Increase In Proportion Of Challenges Asked After Course

• How was the information obtained?• Source of “6 million”?• Definition of “car”?• Definition or type of car accident?• Effect of definition of “car accident” on 6 million• Unreported accidents included?• Lurking variables?• Cause of accidents?• Location of accidents?

Now It’s Your Turn …

“Four out of five dentists surveyed would

recommend Trident sugarless gum for their

patients who chew gum”

What challenges do you have concerning the claim in the following advertisement?

http://www.youtube.com/watch?v=Gf_Jk1zLisg

Your Challenges

Possible Challenges

• How were the dentists selected?– Discuss random versus non-random sampling and effects on

resulting statistics

• Sample size?• “4 out of 5”

– Parameter versus statistic– Statistics have variation

• Question asked of dentists– Issues of bias

• Experience of dentists• Only pertains to “gum chewing patients”

– What about all patients?

Sources Of Advertisements

• Television commercials

• Newspapers

• Magazines

• Products used at home– Product web sites– Youtube

• Sunday newspaper coupon section

Advantages To Using Advertisements

• Promotes challenging claims in a familiar (possibly non-threatening) context

• Real life examples• Relevant to their life• Multi-media approach

– May be useful for different learning styles

• Can be used for all grade levels– Focus on questions rather than correct

answers

Student Evaluation

“I really enjoyed this approach to statistics. The class took the often asked question, "When am I ever going to use what I am learning in here?" and turned it on its head so that I was asking myself, "When will I not use what I am learning in here?””

Conclusion Statistical literacy involves the ability to

critically evaluate and challenge statistics encountered in everyday life.

This ability becomes more important in today’s world in which information is so easily accessible, available and potentially unreliable.

Promoting statistical literacy may produce a more savvy consumer of information

References• Anderson, K.J. (2001). Internet use among college students: An exploratory

study. Journal of American College Health, 50, 21-26.

• Herr, N. Television & Health. The Sourcebook for Teaching Science. www.csun.edu/science/health/docs/tv&health.html

• Martinez-Dawson, R. (2010). The effects of a course on statistical literacy upon students’ challenges to statistical claims made in the media (Dissertation), Clemson University.

• Schield, M. “Statistical literacy: Thinking critically about statistics” http://www.augsburg.edu/ppages/schield

• Utts, J. (2002). What educated citizens should know about statistics and probability. Retrieved from http://www.stat.auckland.ac.nz/~iase/publications/1/1b3_utts.pdf

• Watson, J.M. (1997). Assessing statistical thinking using the media. In The Assessment Challenge in Statistics Education, IOS Press.

• www.frankwbaker.com/mediause.htm