Summary of Statistical Calculations

The STAT annunciator indicates that a statistical calculation was performed. Some functions return two values. In this instance, the X annunciator is displayed along with STAT. Press

\«to see the second value. In this case, the X annunciator changes to a Y, indicating the second value is being displayed.

Table 12-6

Statistical calculations that return two values

 

 

 

 

 

Keys

 

Description

\«Displays:

 

 

 

 

\k

Arithmetic mean (average) of the x-values.

Mean (average) of the y-values if

 

you entered y-data.

 

 

 

 

\h

Sample standard deviation of the x-values.

Sample standard deviation of the y-

NOTE: The sample standard deviation

values if you entered y-data.

 

 

NOTE: The sample standard

 

 

assumes that the data is a sampling of a

 

 

larger, complete set of data. The population

deviation assumes that the data is a

 

 

standard deviation assumes that the data

sampling of a larger, complete set of

 

 

constitutes the entire population.

data. The population standard

 

 

 

deviation assumes that the data

 

 

 

constitutes the entire population.

\e

Population standard deviation of the x-values.

 

NOTE: The sample standard deviation

 

assumes that the data is a sampling of a

 

larger, complete set of data. The population

 

standard deviation assumes that the data

 

constitutes the entire population.

Population standard deviation of the y-values if you entered y-data.

NOTE: The sample standard deviation assumes that the data is a sampling of a larger, complete set of data. The population standard deviation assumes that the data constitutes the entire population.

y-value

\Z Estimate of x for a given value of y.

Correlation coefficient.

NOTE: The correlation coefficient is a number in the range -1 through +1 that measures how closely the data fits the calculated line. A value of +1 indicates a perfect positive correlation, and -1 indicates a perfect negative correlation. A value close to zero indicates the line is a poor fit.

x-value \W

Estimate of y for a given value of x.

Coefficient m of the current

 

regression.

 

 

 

\T

Mean of the x-values weighted by the y-

Coefficient b of the current

values.

regression.

 

 

 

Statistical Calculations 119