HP 10bII+ - Summary of Statistical Calculations

Statistical Calculations
119
Summary of Statistical Calculations
The STAT annunciator indicates that a statistical calculation was performed. Some functions
return two values. In this instance, the X annunciator is displayed along with STAT. Press
\« to see the second value. In this case, the X annunciator changes to a Y, indicating
the second value is being displayed.
Table 12-6 Statistical calculations that return two values
Keys Description
\«Displays:
\k
Arithmetic mean (average) of the x-values. Mean (average) of the y-values if
you entered y-data.
\h
Sample standard deviation of the x-values.
NOTE: The sample standard deviation
assumes that the data is a sampling of a
larger, complete set of data. The population
standard deviation assumes that the data
constitutes the entire population.
Sample standard deviation of the y-
values if you entered y-data.
NOTE: The sample standard
deviation assumes that the data is a
sampling of a larger, complete set of
data. The population standard
deviation assumes that the data
constitutes the entire population.
\e
Population standard deviation of the x-values.
NOTE: The sample standard deviation
assumes that the data is a sampling of a
larger, complete set of data. The population
standard deviation assumes that the data
constitutes the entire population.
Population standard deviation of the
y-values if you entered y-data.
NOTE: The sample standard
deviation assumes that the data is a
sampling of a larger, complete set of
data. The population standard
deviation assumes that the data
constitutes the entire population.
y-value
\Z
Estimate of x for a given value of y. Correlation coefficient.
NOTE: The correlation coefficient is
a number in the range -1 through +1
that measures how closely the data
fits the calculated line. A value of +1
indicates a perfect positive
correlation, and -1 indicates a
perfect negative correlation. A value
close to zero indicates the line is a
poor fit.
x-value
\W
Estimate of y for a given value of x.Coefficient m of the current
regression.
\T
Mean of the x-values weighted by the y-
values.
Coefficient b of the current
regression.