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Question

According to Chebyshev’s inequality, for any distribution with **finite variance**, the proportion of the observations within *k* standard deviations of the arithmetic mean is at least ^{[...]} for all *k* > 1.

Answer

1 − 1/*k*^{2}

Question

According to Chebyshev’s inequality, for any distribution with **finite variance**, the proportion of the observations within *k* standard deviations of the arithmetic mean is at least ^{[...]} for all *k* > 1.

Answer

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Question

According to Chebyshev’s inequality, for any distribution with **finite variance**, the proportion of the observations within *k* standard deviations of the arithmetic mean is at least ^{[...]} for all *k* > 1.

Answer

1 − 1/*k*^{2}

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According to Chebyshev’s inequality, for any distribution with finite variance , the proportion of the observations within k standard deviations of the arithmetic mean is at least 1 − 1/k 2 for all k > 1.

According to Chebyshev’s inequality, for any distribution with finite variance , the proportion of the observations within k standard deviations of the arithmetic mean is at least 1 − 1/k 2 for all k > 1.

status | not learned | measured difficulty | 37% [default] | last interval [days] | |||
---|---|---|---|---|---|---|---|

repetition number in this series | 0 | memorised on | scheduled repetition | ||||

scheduled repetition interval | last repetition or drill |

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