Download the documentation - True BASIC
Download the documentation - True BASIC
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Simple Statistics 31<br />
KurtosisP (data(), k)<br />
Percentile coefficient of kurtosis: .5 * (Q 3<br />
– Q 1<br />
) / (P 90<br />
– P 10<br />
).<br />
Exceptions:<br />
715 Can’t use KurtosisP with percentiles 10 and 90 equal.<br />
761 Need at least 99 data items for Percentiles.<br />
Moment (data(), r, mr)<br />
Given r, and dataset data(), this computes <strong>the</strong> r th moment mr about <strong>the</strong> dataset’s mean.<br />
Exceptions:<br />
716 Moment ‘r’ must be a positive integer: r<br />
MomentAbout (o, data(), r, mr)<br />
Given r, an arbitrary origin o and dataset data(), compute <strong>the</strong> r th moment mr about o<br />
as shown by <strong>the</strong> formula where n = Size(data).<br />
n<br />
Σ (data(i) – o)r<br />
i = 1<br />
————————<br />
n<br />
Exceptions:<br />
716 Moment ‘r’ must be a positive integer: r<br />
Quartiles and Percentiles<br />
These routines return <strong>the</strong> quartiles and percentiles of a dataset.<br />
Quartiles (data(), q1, q2, q3)<br />
Quartiles of a dataset data(), returning <strong>the</strong> first quartile in q1, second (median) in q2,<br />
and third in q3. Your dataset must contain at least 3 non-missing items. Quartile values<br />
will be interpolated when <strong>the</strong> quartile falls between two data items.<br />
Exceptions:<br />
762 Need at least 3 data items for Quartiles.<br />
Percentiles (data(), p())<br />
Percentiles of a dataset data() in <strong>the</strong> array r() which is automatically redimensioned to<br />
p(1:99). Thus, for example, p(95) will contain <strong>the</strong> 95% percentile value. Your dataset<br />
01/01