HP F2219AA#ABA HP 20b Business Consultant Financial Calculator Manual - Page 62

Table 10-1, Statistical Operations, The Statistics Menu Items

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Statistical Operations Table 10-1 The Statistics Menu Items Menu Item Nb Item Description Number of items. X Mean Average of X values. Y Mean Average of Y values. X Std. Dev Standard deviation for X: a measure of how dispersed the x data values are about the mean. Y Std. Dev Standard deviation for Y: a measure of how dispersed the y data values are about the mean. X Population Dev 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. Y Population Dev 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. S.E.SamP.X 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. S.E.SamP.Y 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. Pred X Predicts X for a given hypothetical value of Y, based upon the model calculated to fit the data. Pred Y Predicts Y for a given hypothetical value of X, based upon the model calculated to fit the data. a The a coefficient for the chosen regression model, which is the slope for a linear model. b The b coefficient for the chosen regression model, which is the y-intercept for a linear model. Correlation 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. Covariance A measure of how much two variables change in relation to one another. Sigma X The sum of the x values. 62

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Statistical Operations
62
Table 10-1
The Statistics Menu Items
Menu Item
Description
Nb Item
Number of items.
X
Mean
Average of X values.
Y
Mean
Average of Y values.
X Std. Dev
Standard deviation for X: a measure of how dispersed the x data values are
about the mean.
Y Std. Dev
Standard deviation for Y: a measure of how dispersed the y data values are
about the mean.
X Population Dev
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.
Y Population Dev
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.
S.E.SamP.X
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.
S.E.SamP.Y
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.
Pred X
Predicts X for a given hypothetical value of Y, based upon the model calculated
to fit the data.
Pred Y
Predicts Y for a given hypothetical value of X, based upon the model calculated
to fit the data.
a
The
a
coefficient for the chosen regression model, which is the slope for a linear
model.
b
The
b
coefficient for the chosen regression model, which is the y-intercept for a
linear model.
Correlation
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.
Covariance
A measure of how much two variables change in relation to one another.
Sigma X
The sum of the x values.