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