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Summation Values And The Statistics Registers; Summation Statistics - HP -32S Owner's Manual

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Normalizing Close, Large Numbers. The calculator might be un
able to correctly calculate the standard deviation and linear regression
for a variable whose data values differ by a relatively small amount.
To avoid this, normalize the data by entering each value as the differ
ence from one central value (such as the mean). For normalized re
values, this difference must then be added back to the calculation of x
and x, and y and b must also be adjusted. For example, if your re
values were 7776999, 7777000, and 7777001, you should enter the
data as -1, 0, and 1; then add 7777000 back to x and x. For b, add
back 7777000 x m. To calculate y, be sure to supply an x-value that
is less 7777000.
Similar inaccuracies can result if your x and y values have greatly dif
ferent magnitudes. Again, scaling the data can avoid this problem.
Effect of Deleted Data. Executing BCED does not delete any
rounding errors that might have been generated in the statistics regis
ters by the original data values. This difference is not serious unless
the incorrect data have a magnitude that is enormous compared with
the correct data; in such a case, it would be wise to clear and reenter
all the data.
Summation Values and the Statistics
Registers
The statistics registers are six unique locations in memory that store
the accumulation of the six summation values.
Summation Statistics
Pressing fill stat I {2} gives you access to the contents of the statistics
registers:
• Press {n} to see the number of accumulated data sets.
• Press {x} to see the sum of the x-values.
• Press {y} to see the sum of the y-values.
11: Statistical Operations
161

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