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DOC: Correct a typo: Lets -> Let's (#62728)
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pandas/core/nanops.py

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@@ -1366,7 +1366,7 @@ def nankurt(
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# With a few modifications, like using the maximum value instead of the averages
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# and some adaptations because they use the average and we use the sum for `m2`.
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# We need to estimate an upper bound to the error to consider the data constant.
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# Lets call:
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# Let's call:
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# x: true value in data
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# y: floating point representation
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# e: relative approximation error
@@ -1377,7 +1377,7 @@ def nankurt(
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# (|x - y|/|x|)² <= e²
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# Σ (|x - y|/|x|)² <= ne²
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#
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# Lets say that the fperr upper bound for m2 is constrained by the summation.
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# Let's say that the fperr upper bound for m2 is constrained by the summation.
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# |m2 - y|/|m2| <= ne²
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# |m2 - y| <= n|m2|e²
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#

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