HP 30b - Business Professional Calculator User Manual page 79

Table 12-1 The Statistics Menu Items
Menu Item
Std. Dev
y
x
Population Dev
Population Dev
y
x
S.E.Samp.
S.E.Samp.
y
x
Pred
Pred
y
a
b
c
Correlation
Covariance
Σx
Σy
2
Σx
2
Σy
Σxy
Quartiles*
Median*
Maximum*
Minimum*
*Does not apply to the HP 20b.
Description
Standard deviation for : a measure of how dispersed the y data values are about
y
the mean.
Population Standard deviation for
are about the mean, assuming the data constitutes a complete set of data.
Population Standard deviation for
are about the mean, assuming the data constitutes a complete set of data.
Standard error for the sample
the data is a sampling of a large, more complete data set.
Standard error for the sample
the data is a sampling of a large, more complete data set.
x
Predicts for a given hypothetical value of y, based upon the model calculated to fit
the data.
Predicts y for a given hypothetical value of
the data.
a
The coefficient for the chosen regression model, which is the slope for a linear
model.
b
The coefficient for the chosen regression model, which is the
model.
c
The coefficient for the chosen regression model, applies only for
The correlation coefficient for the given (
number in the range - 1 through 1 that measures how closely the calculated line fits
the data.
A measure of how much two variables change in relation to one another.
x
The sum of the values.
The sum of the values.
y
The sum of the squares of the
The sum of the squares for the
The sum of the products of the
The boundaries of a given frequency distribution divided into four parts.
The middle value in a given frequency distribution.
The largest value in a given frequency distribution.
The lowest value in a given frequency distribution.
x
: a measure of how dispersed the
: a measure of how dispersed the
y
x
: a measure of the dispersion of
: a measure of the dispersion of
y
x
, based upon the model calculated to fit
x
, ) data. The correlation coefficient is a
y
x
values.
values.
y
x
and values.
y
x
data values
data values
y
x
mean, assuming
mean, assuming
y
-intercept for a linear
y
2
.
ax +bx+c
Statistical Operations
71