Casio fx-100MS User Manual page 20

Σ , Σ , Σ
x x y x
3 2 4
, Population Standard Deviation: σ
o p
Mean: *,
Standard Deviation: s
, σ ............12(S-VAR) 1 to 3
o
, s
x x
, σ ............12(S-VAR)e 1 to 3
p
, s
y y
Regression Coefficients: A, B, Correlation Coefficient:
Regression Coefficients for Quadratic Regression: A, B, C
12(S-VAR) ee 1 to 3
Estimated Values:
Estimated Values for Quadratic Regression:
12(S-VAR) eee 1 to 2 (or 3)
m m m
• , , and
1 2
that take an argument immediately before them. See "Calculating
Estimated Values" for more information.
Note: While single-variable statistical calculation is selected, you can
input the functions and commands for performing normal distribution
calculation from the menu that appears when you perform the following
key operation: 13(DISTR). See "Performing Normal Distribution
Calculations" for details.
To calculate the mean (o) and population standard deviation
1 1
(σ ) for the following data: 55, 54, 51, 55, 53, 53, 54, 52
x
,,b(SD)
55 7 54 7 51 7 55 7 53 77 54 7 52 7
To calculate the linear regression and logarithmic regression
2 2
correlation coefficients (
data and determine the regression formula for the strongest
correlation: (
9310). Specify Fix 3 (three decimal places) for results.
NN2(REG) b(Lin) N
20 , 3150 7 110 , 7310 7
200 , 8800 7 290 , 9310 7
NNc(REG) c(Log)
20 , 3150 7 110 , 7310 7
200 , 8800 7 290 , 9310 7
Logarithmic Regression Formula:
y
= –3857.984 + 2357.532ln
.... 11(S-SUM)ee 1 to 3 (Quadratic
Regression only)
*, s
x y
m n
,
n
are not variables. They are commands of the type
!c(S-VAR) b( o) =
!c(S-VAR)c(σ
x y
, ) = (20, 3150), (110, 7310), (200, 8800), (290,
1c(S-VAR) eed(r) =
1c(S-VAR) eed(r) =
1c(S-VAR) eeb(A) =
1c(S-VAR) eec(B) =
)=
x
r
) for the following paired-variable
b(Fix) d
x
E-19
*, σ
, Sample
x y
r
m m n
, ,
1 2
53.375
1.316956719
−3857.984
2357.532
0.923
0.998