Example 35, Example 36, Example 37 – CITIZEN SR-270II User Manual
Page 12: Example 38, Example 39, Example 40, Example 41, Example 42
5
Example 35
5 ! = 120
5 [ 2nd ] [ x ! ] [ = ]
DEG
5 !
120.
Example 36
Generates a random number between 0.000 ~0.999
[ 2nd ] [ RANDOM ] [ = ]
DEG
Ran #
0.388
Example 37
= 0.8
1.25 [ x
– 1
] [ = ]
DEG
1.25
–1
0.8
Example 38
139
125
21
4
2
5
3
2
3
=
+
+
+
+
5 [ 2nd ] [ x
3
] [ + ] 2 [ x
2
] [ + ] [
]
DEG
[ ( ] 4 [ + ] 21 [ ) ] [ + ] [ 2nd ] [
4
] 125 [ = ]
5
3
+2
2
+
( 4+21
139.
Example 39
4
625 = 5
4 [ 2nd ] [ ] 625 [ = ]
DEG
4
625
5.
Example 40
7
4
= 2401
7 [ x
y
] 4 [ = ]
DEG
7 x
y
4
2401.
Example 41
Enter data : X
1
= 3, X
2
= 2, X
3
= 5 , X
4
= 9, then find out
∑
x
2
= 119,
∑
x=
19, n = 4,
−
x = 4.75,
x
σ
n
= 2.680951324, X
σ
n-1
= 3.095695937
[ MODE ] 2 [ 2nd ] [ Scl ] [ = ]
SD DEG
Scl
0.
3 [ DT ] 2 [ DT ] 5 [ DT ] 9 [ DT ]
SD DEG
[ 2nd ] [ RCL ] [ A ]
∑
x
2
119.
[ 2nd ] [ RCL ] [ B ]
SD DEG
∑
x
19.
[ 2nd ] [ RCL ] [ C ]
SD DEG
n =
4.
[ 2nd ] [
−
x ] [ = ]
SD DEG
−
x
4.75
[ 2nd ] [ X
σ
n
] [ = ]
SD DEG
X
σ
n
2.680951324
[ 2nd ] [ X
σ
n-1
] [ = ]
SD DEG
X
σ
n-1
3.095695937
Example 42
Find A, B, and r for the following data using linear regression and estimate
x ’ =? for y =573 and y’ = ? for x = 19.
n
1
2
3
4
x
15
17
21
28
y
451
475
525
678
[ MODE ] 3
L i n L o g E x p
1
2
3
1 [ 2nd ] [ Scl ] [ = ]
REGDEG
Scl
0.
15 [
,
] 451 [ DT ] 17 [
,
] 475 [ DT ]
REGDEG
21 [
,
] 525 [ DT ] 28 [
,
] 678 [ DT ]
A
[ 2nd ] [ A ] [ = ]
176.1063291
[ 2nd ] [ B ] [ = ]
REGDEG
B
17.58734177
[ 2nd ] [ r ] [ = ]
REGDEG
r
0.989845164
573 [ 2nd ] [
∧
x
]
REGDEG
∧
x
22.56700734
19 [ 2nd ] [
∧
y
]
REGDEG
∧
y
510.2658228
√
x
1
1.25