HP 20B manual Statistical Operations 1The Statistics Menu Items, Menu Item Description

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Statistical Operations

Table 10-1The Statistics Menu Items

Menu Item

Description

Nb Item

Number of items.

 

 

 

 

 

 

 

 

Mean

Average of X values.

 

X

 

 

 

 

 

 

Mean

Average of Y values.

Y

 

 

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.

 

 

 

 

 

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