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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
13
9
12521425
3
23
=++++
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
σn
= 2.680951324, X
σn-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
σn ] [ = ]
SD DEG
X σn
2.680951324
[ 2nd ] [ X
σn-1 ] [ = ]
SD DEG
X σn-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.
n1 2 3 4
x15172128
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