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We used to get up at 3am half an hour before we went to bed, eat a lump of cold poison then walk FOURTY miles uphill to school then when we got home our Dad would slice us in two with a bread knife
>> found that 62% of respondents reported no or limited statistical knowledge The other 38% didn't understand the question...(my extrapolation) I did a couple semesters of statistics at uni. And I can confidently say that the number of people who can answer 3 simple questions on statistics (like say mean versus medians, confidence levels or margins of error) is, well, a rounding error from 0. Indeed, statistically, n…
Is that a well designed survey question?
I would expect the use of a specific jargon term in that question to affect the results in a significant way.
That's like ⅐ of the US population..
But if they release headline “62% of respondents” reported no or limited statistical knowledge while only 11% regularly use statistics in daily life…
…then they would loose more than half of readers who don’t know “per cent” or % symbol (?)
I thought that OP changed the original headline but no, psu.edu really published this :)
>> found that 62% of respondents reported no or limited statistical knowledge The other 38% didn't understand the question...(my extrapolation) I did a couple semesters of statistics at uni. And I can confidently say that the number of people who can answer 3 simple questions on statistics (like say mean versus medians, confidence levels or margins of error) is, well, a rounding error from 0. Indeed, statistically, n…
well encapsulated in the quote popularized by Mark Twain "Lies, damned lies, and statistics" [1]
[1] https://en.wikipedia.org/wiki/Lies,_damned_lies,_and_statist...
One of my favourite jokes: 93 % of statistics are made up on the spot, and 61 % of people believe them. Bonus points for changing the figures every time you retell the joke.
Earlier quoted context omitted.
And how do either of them relate to statistical literacy in the United States?
My interpretation is how the risks (statistics) of those job functions are more known, people choose to avoid them. But the people that are-the-statistic don't necessarily agree with or understand those statistics. For example, if OP is a coal miner that hasn't had health issues yet, they may choose to discount statistics that declare x% of coal miners have negative health outcomes.
>> found that 62% of respondents reported no or limited statistical knowledge The other 38% didn't understand the question...(my extrapolation) I did a couple semesters of statistics at uni. And I can confidently say that the number of people who can answer 3 simple questions on statistics (like say mean versus medians, confidence levels or margins of error) is, well, a rounding error from 0. Indeed, statistically, n…
> Assuming you don't just make them up, they're trivial to manipulate to generate the headline you want. well encapsulated in the quote popularized by Mark Twain "Lies, damned lies, and statistics" [1] [1] https://en.wikipedia.org/wiki/Lies,_damned_lies,_and_statist... One of my favourite jokes: 93 % of statistics are made up on the spot, and 61 % of people believe them. Bonus points for changing the figures every ti…
>> found that 62% of respondents reported no or limited statistical knowledge The other 38% didn't understand the question...(my extrapolation) I did a couple semesters of statistics at uni. And I can confidently say that the number of people who can answer 3 simple questions on statistics (like say mean versus medians, confidence levels or margins of error) is, well, a rounding error from 0. Indeed, statistically, n…