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Using FARS Queries For Concept Papers

This session focuses on utilizing the Fatality Analysis Reporting System (FARS) to identify and analyze data related to traffic fatalities. Participants will learn to identify data that best supports their specific problems, discuss how to express this data as statistics, and recognize traffic safety issues through detailed analysis. Key examples highlight the importance of restraint device use and pedestrian safety near crosswalks and bus stops. By the end, attendees will be equipped to formulate accurate statistical statements and identify trends that can guide resource allocation for improved traffic safety.

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Using FARS Queries For Concept Papers

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  1. Using FARS Queries For Concept Papers

  2. Objectives By the end of this session, you will be able to: • Identify data to best support a given problem • Discuss various statements expressing data as a statistic • Recognize a problem by analyzing data

  3. Fatality Analysis Reporting System (FARS) • Compilation of fatalities across US including: • Person types involved • Location of occurrence • Possible causes of each fatality • Pre-created tables of data • Tables created using Query

  4. Example 1: Formulate Problem • Adults riding in vehicles without proper restraint device • Children riding in vehicles with out child restraint • Those without restraints in crashes resulting in injuries or death

  5. Example 1: Determine Supporting Data • Identify the number of fatal injuries due to: • no restraint • improperly used restraint • List patterns common to larger groups of fatally injured, such as: • Age/race/income • Location/time of incident • Misuse of restraint

  6. FAR Tables Find data using: • Pre-created Table • Create Table in Query

  7. FARS Pre-created Tables Inspect tables to view different data types

  8. FARS Tables Created by Query If data is not in pre-created table, start a query to create a table

  9. FARS Tables Created by Query Choose a year

  10. Example 1: FARS Table Choose an option for data sets (ex: Option 1)

  11. Example 1: FARS Table Choose two data checkboxes (ex: “Age” and “Restraint System”)

  12. Example 1: FARS Table • Narrow data results. Will show the two you chose, plus State will show as an option. (ex: “All” on all three)

  13. Example 1: FARS Table • Choose which data for row and column of newly created table. (ex: chose “Age” and “Restraint System” as row and column)

  14. Example 1: Statistical Statements

  15. Example 2: Formulate Problem • Vehicles are not yielding to pedestrians at crosswalks • Pedestrians departing bus stops are not crossing safely

  16. Example 2: Determine Supporting Data • Identify the number of fatal injuries at: • Crosswalks • Bus stops • Other locations • List patterns common to larger groups of fatally injured, such as: • Age/race/income • Location/time of incident • Violations due to vehicle or pedestrian

  17. Example 2: FARS Table

  18. Example 2: FARS Table

  19. Example 2: Statistical Statements

  20. Writing Statistical Statements • Must be believable/come from reliable sources • Example: 4 out of 5 dentists surveyed recommend X gum to their patients who chew gum. Who said that? • Find the trends in data to focus resources for the most impact • Persuasive language

  21. Persuasive Words Source www.education.umd.edu

  22. Statistical Statement Example 1 70.6% of fatalities reported were male • Where did this data come from? • How was this statistical percentage determined?

  23. Statistical Statement Example 1 70.6% of fatalities reported were male • Document the source (ex. FARS) • Be prepared to show the math if asked 22,860 / 32,367 * 100 = 70.62749096301789

  24. Expressing Statistical Statements A single set of data can be expressed different ways: • Most fatalities are male. • 2/3 of all fatalities are male. • Fatalities are 2 times as likely to be male. • Crashes fatalities are half as likely to be women Determine which way is most relevant to your problem (makes it sound reeaallyy bad)

  25. Statistical Statement Example 2 4751 fatalities under 21 years of age in US 18,179 fatalities between ages 21 and 54 360+344+637+3410=4751 3,282+5,497+4,323+5,077=18,179

  26. Find the Trend: Motorcycle Fatalities

  27. Find the Trend: Motorcycle Fatalities Motorcycles involved in fatal crashes per 100M VMT

  28. Trends Show Problems

  29. Things to Avoid • Let the data speak: do not misrepresent the data. • Do not manipulate the data so that there is no way to recalculate a percentage • Avoid using “average” and “you” • Use “we and us” only when you have proper authority • Ex: somebody call 911

  30. Using Statistics in News

  31. Other Data Sources Other sources contain crash, injury and fatality data: • Florida Crash Facts • National Center for Statistics and Analysis (NCSA)

  32. Objectives Review You should now be able to: • Identify data to best support a given problem • Discuss various statements expressing data as a statistic • Recognize a problem by analyzing data

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