Citizen SR-270II manual + 2 2 + 4 + 21+ 3 125 =139

Example 35

5 ! = 120

5 [ 2nd ] [ x ! ] [ = ]		DEG
	5 !	￿
		120.

Example 36

￿ Generates a random number between 0.000 ~0.999

[ 2nd ] [ RANDOM ] [ = ]	Ran #	DEG
		￿
		0.388

Example 37

	1	= 0.8
1.25
	1.25 [ x – 1] [ = ]				DEG
				1.25 –1	0.8	￿
Example 38
5 3 + 2 2 + 4 + 21+ 3 125 =139
	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
		x
	4 [ 2nd ] [ √ ] 625 [ = ]				DEG
				4 625	5.	￿
Example 40
7 4 = 2401
	7 [ x y ] 4 [ = ]			7 x y 4	DEG	￿
					2401.

Example 41

￿Enter data :−X 1 = 3, X 2 = 2, X 3 = 5 , X 4 = 9, then find out ∑ x2= 119, ∑ x= 19, n = 4, x = 4.75, xσn= 2.680951324, Xσn-1= 3.095695937

[ MODE ] 2 [ 2nd ] [ Scl ] [ = ]	Scl	SD DEG
		￿
		0.

3 [ DT ] 2 [ DT ] 5 [ DT ] 9 [ DT ]	∑x2		SD	DEG
[ 2nd ] [ RCL ] [ A ]				￿
				119.
[ 2nd ] [ RCL ] [ B ]	∑x		SD	DEG
				￿
				19.
[ 2nd ] [ RCL ] [ C ]	n =		SD	DEG
				￿
				4.
−			SD	DEG
[ 2nd ] [ x ] [ = ]	−
				￿
	x
				4.75
[ 2nd ] [ X σn ] [ = ]	X	σn	SD	DEG
				￿
		2.680951324
[ 2nd ] [ X σn-1 ] [ = ]	X	σn-1	SD	DEG
				￿
		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 ] [ = ]					Scl	REGDEG
								￿
								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 ] [ = ]					r	REGDEG
								￿
							0.989845164
		∧				∧
	573 [ 2nd ] [ x ]						REGDEG
						x		￿
							22.56700734
		∧				∧
	19 [ 2nd ] [ y ]						REGDEG
						y		￿
							510.2658228

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