using fars queries for concept papers
DESCRIPTION
Using FARS Queries For Concept Papers. 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. - PowerPoint PPT PresentationTRANSCRIPT
Using FARS Queries For Concept Papers
Objectives
By the end of this session, you will be able to:Identify data to best support a given problemDiscuss various statements expressing data as a statisticRecognize a problem by analyzing data
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 dataTables created using Query
Example 1: Formulate Problem
Adults riding in vehicles without proper restraint deviceChildren riding in vehicles with out child restraintThose without restraints in crashes resulting in injuries or death
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
FAR Tables
Find data using:Pre-created TableCreate Table in Query
FARS Pre-created Tables
Inspect tables to view different data types
FARS Tables Created by Query
If data is not in pre-created table, start a query to create a table
FARS Tables Created by Query
Choose a year
Example 1: FARS Table
Choose an option for data sets (ex: Option 1)
Example 1: FARS Table
Choose two data checkboxes (ex: “Age” and “Restraint System”)
Example 1: FARS TableNarrow data results. Will show the two you chose, plus State will show as an option. (ex: “All” on all three)
Example 1: FARS TableChoose which data for row and column of newly created table. (ex: chose “Age” and “Restraint System” as row and column)
Example 1: Statistical Statements
Example 2: Formulate Problem
Vehicles are not yielding to pedestrians at crosswalksPedestrians departing bus stops are not crossing safely
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
Example 2: FARS Table
Example 2: FARS Table
Example 2: Statistical Statements
Writing Statistical StatementsMust be believable/come from reliable sourcesExample: 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 impactPersuasive language
Persuasive Words
In Support Of In Support Against
AccurateAdvantage
Always/NeverBest
CertainConfident
ConvenientDefinitelyEffective
EmphasizeExpect
InterestingMagnificent
Most Most Important
PopularProfitable
ShouldStrongly Recommend
SuperbSuperior
TremendousTruly
TrustworthyWorkable
Worthwhile
AggravateAgony
AtrociousConfusing
CruelDamaging
DisadvantagesDispleased
DreadfulHarmfulHarsh
HorribleInconsiderate
InferiorIrritateOffendOrdeal
OutrageousnessProvoke
RepulsiveSevere
ShamefulShockingTerrible
UnreliableUnstable
Source www.education.umd.edu
Statistical Statement Example 1
70.6% of fatalities reported were maleWhere did this data come from? How was this statistical percentage determined?
Statistical Statement Example 1
70.6% of fatalities reported were maleDocument the source (ex. FARS)Be prepared to show the math if asked
22,860 / 32,367 * 100 = 70.62749096301789
Expressing Statistical StatementsA 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)
Statistical Statement Example 2
4751 fatalities under 21 years of age in US18,179 fatalities between ages 21 and 54
360+344+637+3410=4751 3,282+5,497+4,323+5,077=18,179
Find the Trend: Motorcycle Fatalities
Find the Trend: Motorcycle FatalitiesMotorcycles involved in fatal crashes per 100M VMT
1994
1996
1998
2000
2002
2004
2006
2008
2010
05
101520253035404550
Motorcycle FatalitiesColumn2Column3
Trends Show Problems
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 percentageAvoid using “average” and “you”Use “we and us” only when you have proper authorityEx: somebody call 911
Using Statistics in News
Other Data Sources
Other sources contain crash, injury and fatality data:
Florida Crash FactsNational Center for Statistics and Analysis (NCSA)
Objectives Review
You should now be able to:Identify data to best support a given problemDiscuss various statements expressing data as a statisticRecognize a problem by analyzing data