
5-24
1. From the Main Menu, enter the
STAT
mode.
2. Input the height data into List 1 and the frequency data into List 2.
3. Perform the single-variable statistical calculations.
You can obtain the normalized variate immediately after
performing single-variable statistical calculations only.
2
(CALC)
6
(SET)
1
(LIST)
b
w
c
2
(LIST)
c
w!J
(QUIT)
2
(CALC)
1
(1VAR)
4. Press
m
, select the
RUN • MAT
mode, press
K
6
(
g
)
3
(PROB)
6
(
g
) to recall the
probability calculation (PROB) menu.
4
(
t
()
bga.f
!
/
( ) )
w
(Normalized variate
t
for 160.5 cm)
Result: –1.633855948
( –1.634)
4
(
t
()
bhf.f
!
/
( ) )
w
(Normalized variate
t
for 175.5 cm)
Result: 0.4963343361
( 0.496)
1
(P()
a.ejg
!
/
( ) )
-
1
(P()
-b.gde
!
/
( ) )
w
(Percentage of total)
Result: 0.6389233692
(63.9% of total)
3
(R()
a.ejg
!
/
( ) )
w
(Percentile)
Result: 0.3099472055
(31.0 percentile)
k
Determining Standard Deviation and Variance from List Data
You can use functions to determine standard deviation and variance for specified list data.
This calculation is performed in the
RUN • MAT
mode. You can perform calculations using
data you saved to a list (List 1 to List 26) with the
STAT
mode List Editor or list data you input
directly on the
RUN • MAT
mode screen.
Syntax
StdDev(List
n
[,List
m
])
Variance(List
n
[,List
m
])
List
n
........Sample data
List
m
.......Frequency data
Example
To store the
x
-data below in List 1, the frequency values in List 2, and
determine the standard deviation and variance
x
60
70
80
90
Frequency
3
5
4
1
Содержание fx-FD10 Pro
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