E-18
Obtaining Statistical Values from Input Data
To obtain statistical values, press
while in the Stat Editor and then
recall the statistical variable (
S
x
,
3
x
2
, etc.) you want. Supported statistical
variables and the keys you should press to recall them are shown below.
For single-variable statistical calculations, the variables marked with an
asterisk (*) are available.
Sum:
3
x
2
*,
3
x
*,
3
y
2
,
3
y
,
3
xy
,
3
x
3
,
3
x
2
y
,
3
x
4
(STAT)
(Sum)
to
Number of Items:
n
*,
Mean:
M
*,
N
,
Population Standard Deviation:
S
x
*,
S
y
,
Sample Standard Deviation:
s
x
*, s
y
(STAT)
(Var)
to
Minimum Value:
minX*, minY,
Maximum Value:
maxX*, maxY
(STAT)
(MinMax)
to
(When the single-variable statistical calculation is selected)
(STAT)
(MinMax)
to
(When a paired-variable statistical calculation is selected)
Regression Coefficients for linear regression (
y
= A
x
+ B):
A, B,
Correlation Coefficient:
r
,
Estimated Values:
K
,
L
(STAT)
(Reg)
to
•
K
, and
L
are not variables. They are commands of the type that take an
argument immediately before them. See “Calculating Estimated Values”
for more information.
To input the single-variable data
x
= {1, 2, 2, 3, 3, 3, 4, 4, 5}, using
the FREQ column to specify the number of repeats for each items
({
x
n
; freq
n
} = {1;1, 2;2, 3;3, 4;2, 5;1}), and calculate the mean and
population standard deviation.
(SETUP)
A
(STAT)
(ON)
(STAT)
(1-VAR)
1
2
3
4
5
AC
1
2
3
2
(STAT)
(Var)
(
M
)
(STAT)
(Var)
(
S
x
)
Results:
Mean: 3 Population Standard Deviation: 1.154700538
To calculate the linear regression and logarithmic regression
correlation coefficients for the following paired-variable data and
determine the regression formula for the strongest correlation: (
x
,
y
) = (20, 3150), (110, 7310), (200, 8800), (290, 9310). Specify Fix
3 (three decimal places) for results.
(SETUP)
A
(STAT)
(OFF)
(SETUP)
(Fix)
(STAT)
(AX + B)
20
110
200
290
AC
3150
7310
8800
9310
(STAT)
(Reg)
(r)
2
2
STAT
STAT
3
3
STAT
FIX
STAT
FIX
