HP RPN SCIENTIFIC WP 34S Owner's Manual page 47

Regarding the analysis functions featured, you find the arithmetic mean

deviation handy on the keyboard, as well as a forecasting function
correlation coefficient
exponential, logarithmic, and power – see the commands LINF, EXPF, LOGF, and
POWERF). Many more functions (such as standard errors, covariances, means and
standard deviations for weighted data, standard deviations for populations, curve fitting
parameters, geometric means and scattering factors) are in
accumulated data are in
respective entries in the IOP.
To get an idea of the possibilities provided and of some constraints inherent to statistics,
see the two sample applications shown here:
Application
parts you produce. You drew a representative sample of nominally equal parts and
precisely measured their real sizes. How can you know your batch will be ok? That is
easy, based upon analysis of that sample.
Example: 10 pins drawn from a production batch, diameters measured:
12.356, 12.362, 12.360, 12.364, 12.340, 12.345, 12.342, 12.344, 12.355, and
12.353. – From earlier investigations, it is known that diameters from this
production process are Gaussian.
Now you must know your objective:
 Do you want to know what pin diameters you will get? Statistics cannot tell you
about all of them here but it will tell you where to find almost all (e.g. 99%) of
them.
Example
measured values:
WP 34S Owner's Manual

(see CORR) for four different regression models (linear,
– just look them up in these catalogs and then check the
SUMS
1: Assume you own a little tool shop and want to know the quality of the
(continued): Reset the summation registers and accumulate the ten
 
03

12.356

12.362

12.360

12.364

12.340

12.345

12.342

12.344

12.355

12.353
1. 0 00
2. 0 00
3. 0 00
4. 0 00
5. 0 00
6. 0 00
7. 0 00
8. 0 00
9. 0 00
10. 0 00
Edition 3.1

and standard

and the
STAT and all the
,
Page 47 of 211