Y
y
0
Y
•P( x, y )
x+ y i= r (cosθ + i sinθ )
x | X | 0 |
|
• P( r, θ)
r
θ
X
∑x2 | [ RCL ] + [ | A | ] | − | − |
x | [ 2nd ] + [ x ] | ||||
∑x | [ RCL ] + [ | B | ] | X σn | [ 2nd ] + [ X σn ] |
|
|
|
|
|
|
n | [ RCL ] + [ | C | ] | X | [ 2nd ] + [ X |
|
|
|
|
|
|
•The calculator can perform the conversion between rectangular coor- dinates and polar coordinates by [ ALPHA ] [ Pol ( ] and [ ALPHA ] [ Rec ( ]. Calculation results are automatically stored in memory vari- ables E and F. See Example 31~32.
(Note) :When using those key, make sure the calculator is set for the angle unit you want.
Regression Calculation
☺Use the REG mode for regression calculations.
Press [ MODE ] 3 to enter the REG menu and then choose one of the six regression types by pressing the corresponding argument value, as fol- low :
Probability
•This calculator provides the following probability functions : ( See Example 33~36.)
[ nPr ] | Calculates the number of possible permutations of n |
| item taken r at a time. |
[ nCr ] | Calculates the number of possible combinations of n |
| items taken r at a time. |
[ x! ] | Calculates the factorial of a specified positive inte- |
| ger x , where x < 69. |
[ RANDOM ] Generates a random number between 0.000 and 0.999
|
|
|
| [] |
Lin | Log | Exp | → | |
| ← | |||
1 | 2 | 3 |
| [] |
|
|
|
|
|
Lin Linear Regression
Log Logarithmic Regression
Exp Exponential Regression
Pwr Power Regression
Inv Inverse Regression
Quad Quadratic Regression
P wr Inv Quad
1 2 3
y = A + B x
y = A + B lnx
y = A • e Bx
y = A • x B
y = A + Bx
y = A + B x + C x 2
Other functions ( | , 3 | , X , x2, x3, xy ) |
|
• The calculator also provides reciprocal ( [ x | ]), | ||
cubic root ( [ 3 ] ), universal root [ | X | ], square ( [ x 2 ] ), cubic | |
( [ x 3 ] ) and exponentiation ( [ x y ] ) functions. See Example 37~40.
Standard Deviation Calculation
☺Use the SD mode for standard deviation calculations.
•Always make sure you clear statistical memory by [ 2nd ] [ Scl ] before preforming standard deviation calculation.
•Individual data can be input using [ DT ] ; To delete data you just input, please press [ 2nd ] [ CL ]. Multiple data of the same value can be input using [ 2nd ] [ ; ]. For example, to input the data 15 seven times, press 15 [ 2nd ] [ ; ] 7 [ DT ].
•The values of the statistical variables depend on the data you input. You can recall them by the key operations shown in the below table. See Example 41.
•Always make sure you clear statistical memory by [ 2nd ] [ Scl ] before preforming regression calculation.
•Individual data can be input using [ DT ] ; To delete data you just input, please press [ 2nd ] [ CL ]. Multiple data of the same value can be input
using [ 2nd ] [ ; ]. For example, to input the data 40 and 55 ten times, press 40 [ , ] 55 [ 2nd ] [ ; ] 10 [ DT ].
•The values of the statistical variables depend on the data you input. You
can recall them by the key operations shown in the below table. To
predict a value for x (or y) given a value for y (or x), enter the given | |
∧ | ∧ |
value, press [ 2nd ] [ y ] (or [ 2nd ] [ x ] ), and press [ = ] again. See Example 42~43.
6
