E-19
For single-variable statistical calculations, the variables marked with an
asterisk (*) are available.
Sum: Σ x
2
*, Σ x *, Σ y
2
, Σ y , Σ xy , Σ x
3
, Σ x
2
y , Σ x
4
11(STAT) 3(Sum) 1
to
8
Number of Items:
n*, Mean: o*, p, Population Standard Deviation: σx*,
σ
y, Sample Standard Deviation: sx*, sy
11(STAT) 4(Var) 1
to
7
Minimum Value: minX*, minY, Maximum Value: maxX*, maxY
11(STAT) 5(MinMax) 1
to
2
(When the single-variable statistical calculation is selected)
11(STAT) 6(MinMax) 1
to
4
(When a paired-variable statistical calculation is selected)
Regression Coefficients: A, B, Correlation Coefficient:
r , Estimated
Values:
m, n
11(STAT) 5(Reg) 1
to
5
Regression Coefficients for Quadratic Regression: A, B, C, Estimated
Values:
m
1
, m
2
, n
11(STAT) 5(Reg) 1
to
6
• See the table at the beginning of this section of the manual for the regression
formulas.
•
m, m
1
, m
2
and n 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.
1N(SETUP)c3(STAT)1(ON)
N2(STAT) 1(1-VAR)
1 = 2 = 3 = 4 = 5 =ce
1 = 2 = 3 = 2 =
A11(STAT) 4(Var) 2( o) =
A11(STAT)4(Var)3(σ
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.
1N(SETUP)c3(STAT)2(OFF)
1N(SETUP)6(Fix)3
N2(STAT) 2(A + BX)
20 = 110 = 200 = 290 =ce
3150 = 7310 =8800 = 9310 =
22
STATSTAT
33
STAT
FIX
STAT
FIX
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