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Skills for Reading Quantitative Information. Don’t skip the data! In fact, you should look for the data and question it. Watch for weasel words (some, many, a lot, little, etc.) instead of providing real data. Use estimation skills to make sense of numbers. Examples:
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Don’t skip the data! In fact, you should look for the data and question it. • Watch for weasel words (some, many, a lot, little, etc.) instead of providing real data. • Use estimation skills to make sense of numbers. Examples: • If no comparison is given, make a mental comparison: “half as much”, “increased by 50%” • Compare numbers to something familiar: “10,000 people” is about two-and-a-half times the FLC student body.
The Comparison Watch List (the examples used in the following list are taken from Statistical Literacy by Milo Shield) • What is the reference value? Be suspicious if the reference value is missing or incomplete. Examples: • “More doctors like Crest toothpaste. More than what? More than any other toothpaste? More than all other toothpastes put together? More than nurses like Crest?” • “Students in two-year colleges have the greatest difficulty with quantitative literacy. Compared to what?”
Do not confuse more with most. Examples: • “More doctors like Crest doesn’t mean most doctors like Crest. Perhaps 12% of doctors like Crest, 8% like Colgate, and 80% have no opinion • No better value does not mean ‘best value’ especially if things are being sold at the same price.”
Beware of implied comparisons. Example: • “Families that pray together stay together. This implies, but does not assert, that families that don’t pray together don’t stay together.