Search results
Results from the WOW.Com Content Network
Though there are many approximate solutions (such as Welch's t-test), the problem continues to attract attention [4] as one of the classic problems in statistics. Multiple comparisons: There are various ways to adjust p-values to compensate for the simultaneous or sequential testing of hypotheses. Of particular interest is how to simultaneously ...
Steve Selvin wrote a letter to the American Statistician in 1975, describing a problem based on the game show Let's Make a Deal, [1] dubbing it the "Monty Hall problem" in a subsequent letter. [2]
The origin of the phrase "Lies, damned lies, and statistics" is unclear, but Mark Twain attributed it to Benjamin Disraeli [1] "Lies, damned lies, and statistics" is a phrase describing the persuasive power of statistics to bolster weak arguments, "one of the best, and best-known" critiques of applied statistics. [2]
The Hundred-dollar, Hundred-digit Challenge problems are 10 problems in numerical mathematics published in 2002 by Nick Trefethen . A $100 prize was offered to whoever produced the most accurate solutions, measured up to 10 significant digits. The deadline for the contest was May 20, 2002.
The 52-week money challenge involves saving an increasing amount of money each week for one year. The challenge can be adjusted to fit personal financial circumstances and goals.
Anne took part in 457 royal engagements last year, compared with 425 for the king, 172 for William and 123 for Kate, according to statistics compiled by the Daily Telegraph newspaper.
A statistician is a person who works with theoretical or applied statistics. The profession exists in both the private and public sectors . It is common to combine statistical knowledge with expertise in other subjects, and statisticians may work as employees or as statistical consultants .
In probability theory and statistics, the law of the unconscious statistician, or LOTUS, is a theorem which expresses the expected value of a function g(X) of a random variable X in terms of g and the probability distribution of X. The form of the law depends on the type of random variable X in question.