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Statistical Operations

Table 10-1 The Statistics Menu Items

Menu Item Description

Nb Item

Number of items.

Mean

Average of X values.

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

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 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.

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Hp 20B User Manual Page 62