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Cause: .getBinWidth passed the rule name through to hist(), but Scott and Freedman-Diaconis need sd()/IQR() (NA for one observation) and Doane's formula divides by a skewness SE that is 0 for two and NaN for one observation. In addition the "Number of observations per sample" field had no lower bound, so 0 could be typed. Effect: one observation per sample (a plausible teaching setup) made the Central limit theorem, Standard error and Sample variability analyses fail with a fatal error for these three rules. Fix: fall back to Sturges' rule when there are fewer observations than the rule needs (< 2, or < 3 for Doane; the manual number of bins is kept), and set min: 1 on the three cltSampleSize IntegerFields. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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Cause: .getBinWidth passed the rule name through to hist(), but Scott and
Freedman-Diaconis need sd()/IQR() (NA for one observation) and Doane's
formula divides by a skewness SE that is 0 for two and NaN for one
observation. In addition the "Number of observations per sample" field had
no lower bound, so 0 could be typed.
Effect: one observation per sample (a plausible teaching setup) made the
Central limit theorem, Standard error and Sample variability analyses fail
with a fatal error for these three rules.
Fix: fall back to Sturges' rule when there are fewer observations than the
rule needs (< 2, or < 3 for Doane; the manual number of bins is kept), and
set min: 1 on the three cltSampleSize IntegerFields.
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