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Example: Population Standard Deviation. Grandma Hinckle has
four grown sons with heights of 170, 173, 174, and 180 cm. Find the
mean and standard deviations of their heights.
Keys:
Display:
Description:
B(CcLEAR] {Z}
Clears the statistics
registers.
170
173
Enters the data.
174
180
n=4.0000
{=+} {=}
%=174.2500
Calculates the mean.
n=5.0000
Adds the mean to the
data.
{s} {sx}
sx=3.6315
Calculates the popula-
tion standard
deviation.
Linear Regression and Estimation
Linear regression is a statistical method for finding a straight line that
best fits a set of x,y-data. There must be at least two x,y-pairs. The
straight line provides a relationship between the x- and y-variables.
Linear Regression. To do a linear regression calculation:
1. Enter the x,y-data using the instructions on page 61.
2. Press [STAT], then {L.R.}.
3. Press:
B {r} to calculate the correlation coefficient.
® {m} to calculate the slope of the line.
B {b} to calculate the y-intercept.
The straight line calculated by linear regression can be used to esti-
mate a y-value for a given x-value, or vice versa.
5: Statistical Calculations
65
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