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Teaching Statistical Literacy: Chapter 3 16 May 2019 V1 Ch3: V1 Ch3: V1 2019 USCOTS Workshop 1 2019 USCOTS Workshop 2 Statistics Literacy Measurements: For Decision Makers Chapter 3 Outline Distributions Chapter 3: Measurements


  1. Teaching Statistical Literacy: Chapter 3 16 May 2019 V1 Ch3: V1 Ch3: V1 2019 USCOTS Workshop 1 2019 USCOTS Workshop 2 Statistics Literacy Measurements: For Decision Makers Chapter 3 Outline Distributions Chapter 3: Measurements Measures of center by Two-group comparisons of Means & Medians Milo Schield Two-variable co-variation Spread Slope and simple regression Half-Day Workshop USCOTS May 16, 2019 www.StatLit.org/pdf/2019-Schield-USCOTS-Slides3.pdf Ch3: V1 Ch3: V1 2019 USCOTS Workshop 3 2019 USCOTS Workshop 4 Stat Literacy: Study Statistics Measures Mode Figure 3D6 Median as Evidence in Arguments of Center Mean 50% 50% 0 ./ In an asymmetric distribution, mean, median and mode typically align alphabetically with mean most sensitive to extremes. Why? Mode Hypothetical Distribution Median Mean of Houses by Price Figure 3D7 0 100k 200k 300k 400k Ch3: V1 Ch3: V1 2019 USCOTS Workshop 5 2019 USCOTS Workshop 6 Mean, median, mode: Issues: Alphabetically. Why? Suppose that house prices in your town have a 1. Mean is more sensitive to outliers. positive near-symmetric distribution Yet statisticians prefer the mean. Why? Suppose Bill and Melinda Gates move to your 2. Omit measure: City1 income more than City2. town. They built two Mac-Mansions. 3. Omit characteristic: Midtown is a median city. How does that change the mode, median and 4. Assume the mean exists . 1.8 kids per family . mean of the original distribution? 5. Ambiguity in specifying the group Mode? Median? Mean? Most relevant in the short run? In the long-run? 2019-Schield-USCOTS-Slides3.pdf 1

  2. Teaching Statistical Literacy: Chapter 3 16 May 2019 V1 Ch3: V1 Ch3: V1 2019 USCOTS Workshop 7 2019 USCOTS Workshop 8 Controlling Confounding: Controlling Confounding: Control Of Control For . . Ch3: V1 Ch3: V1 2019 USCOTS Workshop 9 2019 USCOTS Workshop 10 Control Of/For Crude Associations Ngrams . A crude association is an association in which nothing else has been taken into account. Less likely to get pregnant: • Short young adults than tall. • Adults that shave daily than those that don’t • Adults with long hair than those with short. What one takes into account is an assumption. Teachers should say, “Check your assumptions.” Ch3: V1 Ch3: V1 2019 USCOTS Workshop 11 2019 USCOTS Workshop 12 Crude Association versus an Prison Expense: Adjusted Association Crude vs Adjusted Associations .zxc US Income Distribution by Quintile Left Bar is Before Adjustment; Right Bar is After 49% 50% 37% 40% of Total 30% 23% Share (% 20% 17% 20% 15% 15% 12% 9% 10% 4% 0% Bottom Second Middle Fourth Top Quintile of Families www.Heritage.org 2019-Schield-USCOTS-Slides3.pdf 2

  3. Teaching Statistical Literacy: Chapter 3 16 May 2019 V1 Ch3: V1 Ch3: V1 2019 USCOTS Workshop 13 2019 USCOTS Workshop 14 Crude Ratio Associations Simpson’s Paradox: Time It’s the Mix!!! It’s the Mix!! Ratio associations can be still be confounded. SAT Verbal flat, but every group improved. Averages are ratios. / Ch3: V1 Ch3: V1 2019 USCOTS Workshop 15 2019 USCOTS Workshop 16 Will an Association Reverse? SEASON WINS vs. TOTAL PAYROLL . The Cornfield Conditions US Major League Baseball 102 Indians After learning about Simpson’s Paradox, one 92 . Brav es student said, "I'll never trust another statistic." ins Red Sox Reds This is cynicism: not a good outcome. 1995 Season W 82 Yankees Not all confounders can reverse an association. Rangers 72 Mets Padres Orioles Jerome Cornfield proved that a confounder Marlins association must be "bigger" than the observed. Expos 62 Tigers Pirates Twins BlueJays Cornfield's conditions are one of the three biggest 52 contributions of statistics to human knowledge. 10 20 30 40 50 60 Total Payroll ($Millions) Ch3: V1 Ch3: V1 2019 USCOTS Workshop 17 2019 USCOTS Workshop 18 Regression Standardizes Regression Standardizes An Example: The data shows that house prices increase by House Prices (Average Acres = 1.6) . $39,000 per bedroom. This is a crude association. $450,000 $350,000 $16,000 per bedroom if land is controlled for , Best-Fit Line $9,000 per bedroom after accounting for land $250,000 and house size, $150,000 $5,000 after adjusting for land, house size, and $50,000 number of bathrooms. 0 1 2 3 4 5 6 Land Size (Acres) 2004AssessMTB 2019-Schield-USCOTS-Slides3.pdf 3

  4. Teaching Statistical Literacy: Chapter 3 16 May 2019 V1 Ch3: V1 Ch3: V1 2019 USCOTS Workshop 19 2019 USCOTS Workshop 20 TV for toddlers interferes with Time to Double given Growth Rate brain growth, says study : Children under two should not be allowed to If a child’s risk of Attention Deficit Disorder watch television because it increases their chances increases by 10% for every extra hour of watching of suffering attention problems later in life, says TV, how many hours do they have to watch to an American study. double their risk? A study of 1,345 children found that each hour Rule of 72*: Time to double = 72 / Rate spent in front of the set every day increased the risks of attention deficit disorders by 10%. 72 divided by 10% per hour = 7.2 hours U.S. journal, Pediatrics * Assuming compounding Ch3: V1 Ch3: V1 2019 USCOTS Workshop 21 2019 USCOTS Workshop 22 How to Relate this to AAC&U Quantitative Literacy Math Colleagues VALUE Rubric Don’t talk about confounding or effect size. Interpretation, Representation, Calculation, Application, Assumptions , and Communication Talk about assumptions. • What one controls for is an assumption. Assumptions : Ability to make and evaluate • What one fails to control for is an assumption. important assumptions in estimation, modeling, AAU&C Quantitative Literacy VALUE rubric: and data analysis. Assumptions : Ability to make and evaluate important assumptions in estimation, modeling, www.statlit.org/pdf/2009QuantitativeLiteracyRubricAACU.pdf www.aacu.org/peerreivew/2014/summer/RealityCheck and data analysis. 2019-Schield-USCOTS-Slides3.pdf 4

  5. Ch3: V1 2019 USCOTS Workshop 1 Statistics Literacy For Decision Makers Chapter 3: Measurements by Milo Schield Half-Day Workshop USCOTS May 16, 2019 www.StatLit.org/pdf/2019-Schield-USCOTS-Slides3.pdf

  6. Ch3: V1 2019 USCOTS Workshop 2 Measurements: Chapter 3 Outline Distributions Measures of center Two-group comparisons of Means & Medians Two-variable co-variation Spread Slope and simple regression

  7. Ch3: V1 2019 USCOTS Workshop 3 Stat Literacy: Study Statistics as Evidence in Arguments ./

  8. Ch3: V1 2019 USCOTS Workshop 4 Measures Mode Figure 3D6 Median of Center Mean 50% 50% 0 In an asymmetric distribution, mean, median and mode typically align alphabetically with mean most sensitive to extremes. Why? Mode Hypothetical Distribution Median Mean of Houses by Price Figure 3D7 0 100k 200k 300k 400k

  9. Ch3: V1 2019 USCOTS Workshop 5 Mean, median, mode: Alphabetically. Why? Suppose that house prices in your town have a positive near-symmetric distribution Suppose Bill and Melinda Gates move to your town. They built two Mac-Mansions. How does that change the mode, median and mean of the original distribution? Mode? Median? Mean? Most relevant in the short run? In the long-run?

  10. Ch3: V1 2019 USCOTS Workshop 6 Issues: 1. Mean is more sensitive to outliers. Yet statisticians prefer the mean. Why? 2. Omit measure: City1 income more than City2. 3. Omit characteristic: Midtown is a median city. 4. Assume the mean exists . 1.8 kids per family . 5. Ambiguity in specifying the group

  11. Ch3: V1 2019 USCOTS Workshop 7 Controlling Confounding: Control Of .

  12. Ch3: V1 2019 USCOTS Workshop 8 Controlling Confounding: Control For .

  13. Ch3: V1 2019 USCOTS Workshop 9 Control Of/For Ngrams .

  14. Ch3: V1 2019 USCOTS Workshop 10 Crude Associations A crude association is an association in which nothing else has been taken into account. Less likely to get pregnant: • Short young adults than tall. • Adults that shave daily than those that don’t • Adults with long hair than those with short. What one takes into account is an assumption. Teachers should say, “Check your assumptions.”

  15. Ch3: V1 2019 USCOTS Workshop 11 Crude Association versus an Adjusted Association .zxc US Income Distribution by Quintile Left Bar is Before Adjustment; Right Bar is After 49% 50% 37% 40% of Total 30% 23% Share (% 20% 17% 20% 15% 15% 12% 9% 10% 4% 0% Bottom Second Middle Fourth Top Quintile of Families www.Heritage.org

  16. Ch3: V1 2019 USCOTS Workshop 12 Prison Expense: Crude vs Adjusted Associations

  17. Ch3: V1 2019 USCOTS Workshop 13 Crude Ratio Associations It’s the Mix!!! Ratio associations can be still be confounded. Averages are ratios.

  18. Ch3: V1 2019 USCOTS Workshop 14 Simpson’s Paradox: Time It’s the Mix!! SAT Verbal flat, but every group improved. /

  19. Ch3: V1 2019 USCOTS Workshop 15 Will an Association Reverse? The Cornfield Conditions After learning about Simpson’s Paradox, one student said, "I'll never trust another statistic." This is cynicism: not a good outcome. Not all confounders can reverse an association. Jerome Cornfield proved that a confounder association must be "bigger" than the observed. Cornfield's conditions are one of the three biggest contributions of statistics to human knowledge.

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