HP 20B User Manual page 62

Business consultant financial calculator
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Table 10-1 The Statistics Menu Items
Menu Item
Nb Item
Mean
X
Mean
Y
X Std. Dev
Y Std. Dev
X Population Dev
Y Population Dev
S.E.SamP.X
S.E.SamP.Y
Pred X
Pred Y
a
b
Correlation
Covariance
Sigma X
Description
Number of items.
Average of X values.
Average of Y values.
Standard deviation for X: a measure of how dispersed the x data values are
about the mean.
Standard deviation for Y: a measure of how dispersed the y data values are
about the mean.
Population Standard deviation for X: a measure of how dispersed the X data
values are about the mean, assuming the data constitutes a complete set of
data.
Population Standard deviation for Y: a measure of how dispersed the y data
values are about the mean, assuming the data constitutes a complete set of
data.
Sample error for X: a measure of how dispersed the X data values are about
the mean sample standard deviation, assuming the data is a sampling of a
larger, more complete data set.
Sample error for Y: a measure of how dispersed the Y data values are about
the mean sample standard deviation, assuming the data is a sampling of a
larger, more complete data set.
Predicts X for a given hypothetical value of Y, based upon the model calculated
to fit the data.
Predicts Y for a given hypothetical value of X, based upon the model calculated
to fit the data.
The a coefficient for the chosen regression model, which is the slope for a linear
model.
The b coefficient for the chosen regression model, which is the y-intercept for a
linear model.
The correlation coefficient for the given (x, y) data. The correlation coefficient is
a 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.
The sum of the x values.
62
Statistical Operations

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