HP 33s - Manual (Page 151)

Statistical Operations 11–7
Example: Population Standard Deviation.
Grandma Hinkle has four grown sons with heights of 170, 173, 174, and 180 cm.
Find the population standard deviation of their heights.
Keys: Display: Description:
{ c {´}  Clears the statistics registers.
170  173 
174  180 

)
 Enters data. Four data points
accumulated.
|  { σº} UºU¸
σºσ¸
) 
Calculates the population
standard deviation.
Linear Regression
Linear regression, L.R. (also called linear estimation) is a statistical method for
finding a straight line that best fits a set of x,y–data.
Note
To avoid a !!  message, enter your data before
executing any of the functions in the L.R. menu.
L.R. (Linear Regression) Menu
Menu Key Description
{ º
ˆ
} Estimates (predicts) x for a given hypothetical value of y,
based on the line calculated to fit the data.
{
¸
ˆ
} Estimates (predicts) y for a given hypothetical value of x,
based on the line calculated to fit the data.
{T} Correlation coefficient for the (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.
{P} Slope of the calculated line.
{E} y –intercept of the calculated line.