"deviations" poems - Hello Poetry

The power of Averages, it means a lot if you can understand Means, a lot. Assuming a Normal Distribution, A Standard Deviation, or σ defines where about 68% of the data falls; roughly 34% above and below the Mean. Two Standard Deviations defines where a further 28% of data lies; 14% above and below 1σ and -1σ. Positive 1-Sigma is one Standard Deviation above the Mean Negative 1-Sigma is one below; The range from -2σ to 2σ includes 96% of data. The implications are astounding. Within 3 Standard Deviations, one finds 99.7% of the data; Within 4σ, 99.9%, 5σ, 99.999%, the remainder are generally outliers and other improbable results. To illustrate: Suppose we had a group of 100 people, and we wish to determine average height: If our Mean height ends up being, say, 180 cm, with a Standard Deviation of 20cm, We can suppose that of 100 people, on average, with a certain Margin of Error that is inversely proportionate to our Sample Size, or n (for sake of argument, the Probable Error, or γ, is 13.49cm) 4 are taller than 220cm 14 are between 200cm and 220cm 68 are between 160cm and 200cm 14 are from 140cm to 160cm 4 are shorter than 140cm -- Statistics is the parent of Probability; Statistics is the Art and Science of Forecast, Statistics paves the way for modern Science Statistics is a powerful weapon in the fight against Ignorance Statistics, however, are generally and intentionally misrepresented and thus misunderstood. For increasingly accurate figures, one must have a larger Sample Size and a Sample group that is a representative subgroup of the Whole *This is intentionally abused by most of the News you read or see each day on Paper and Screens alike.* If a "Statistical analysis" does not include at least Margin of Error or Probable Error, Mean (Average), Standard Deviation, and Sample Size do not take it as accurate. Depending on the source, it could even be deliberately malicious. Arm yourself with Knowledge.

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May 7, 2013

May 7, 2013 at 6:14 PM UTC

Anubis-the-Philosomancer

The Art and Science of Statistics

The power of Averages, it means a lot if you can understand Means, a lot. Assuming a Normal Distribution, A Standard Deviation, or σ defines where about 68% of the data falls; roughly 34% above and below the Mean. Two Standard Deviations defines where a further 28% of data lies; 14% above and below 1σ and -1σ. Positive 1-Sigma is one Standard Deviation above the Mean Negative 1-Sigma is one below; The range from -2σ to 2σ includes 96% of data. The implications are astounding. Within 3 Standard Deviations, one finds 99.7% of the data; Within 4σ, 99.9%, 5σ, 99.999%, the remainder are generally outliers and other improbable results. To illustrate: Suppose we had a group of 100 people, and we wish to determine average height: If our Mean height ends up being, say, 180 cm, with a Standard Deviation of 20cm, We can suppose that of 100 people, on average, with a certain Margin of Error that is inversely proportionate to our Sample Size, or n (for sake of argument, the Probable Error, or γ, is 13.49cm) 4 are taller than 220cm 14 are between 200cm and 220cm 68 are between 160cm and 200cm 14 are from 140cm to 160cm 4 are shorter than 140cm -- Statistics is the parent of Probability; Statistics is the Art and Science of Forecast, Statistics paves the way for modern Science Statistics is a powerful weapon in the fight against Ignorance Statistics, however, are generally and intentionally misrepresented and thus misunderstood. For increasingly accurate figures, one must have a larger Sample Size and a Sample group that is a representative subgroup of the Whole *This is intentionally abused by most of the News you read or see each day on Paper and Screens alike.* If a "Statistical analysis" does not include at least Margin of Error or Probable Error, Mean (Average), Standard Deviation, and Sample Size do not take it as accurate. Depending on the source, it could even be deliberately malicious. Arm yourself with Knowledge.