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Resumen del manual
0 o 1.04719755100 • 0 n, 0 o swaps displayed value with value in memory. k Permutation • Example: To deter mine how many different 4-digit values can be produced using the numbers 1 through 7 •Numbers cannot be duplicated within the same 4-digit value (1234 is allowed, but 1123 is not). 7 A m 4 = 840. k Combination • Example: To deter mine how many different 4-member groups can be organized in a group of 10 individuals 10 n 4 = 210. (fx-85W: A n) E-18 Statistical Calculations k Standard Deviation (SD Mode) •Press F F 1 (fx-85W) to enter the SD Mode for statistical calculations using standard deviation. For other models, press F 2. •Data input always star ts with A m = to clear statistical memory. •Input data is used to calculate values for n, .x, .x2 , o, .n and .n-1 which you can recall using the key operations noted nearby. 0 1 .x2 0 2 .x 0 k n A M o A A .n A N .n-1 • Example: To calculate .n1, .n, o, n, .x, and .x2 for the following data : 55, 54, 51, 55, 53, 53, 54, 52 Enter SD Mode fx-85W: F F 1 Other models: F 2 A m = (Memory Clear) 55 S 54 S 51 S 55 S 53 S S 54 S 52 S 52.00 SD (Sample Standard Deviation .n1) A N = 1.40788595300 (Population Standard Deviation .n) A A = 1.31695671900 (Ar ithmetic Mean o) A M = 53.37500 (Number of Data n) 0 k 8.00 (Sum of Values .x) 0 H 427.00 (Sum of Squares of Values .x 2) 0 G 22805.00 E-19 Data Input Precautions • S S inputs the same data twice. •You can also input multiple entries of the same data using A G. To input the data 110 ten times, for example, press 110 A G 10 S. • The above results can be obtained in any order, and not necessarily that shown above. •To delete data you have just input, press A U. k Regression Calculations (REG Mode) •Press F F 2 (fx-85W) to enter the REG mode and then select one of the following regression types. For other models, press F 3. 1:Linear regression 2: Logarithmic regression 3:Exponential regression r 1:Power regression r 2:Inverse regression r 3:Quadratic regression •Data input always starts with A m = to clear statistical memory. • The values produced by a regression calculation depend on the values input, and results can be recalled using the key operations shown in the table below. 0 G .x2 A N x.n-1 0 H .x A l p 0 k n A d y.n 0 h .y2 A c y.n-1 0 n .y A q Regression coefficient A 0 o .xy A w Regression coefficient B 0 M .x3 A e Regression coefficient C 0 x .x2y A u Correlation coefficient r 0 y .x4 A O m A M o A b n A A x.n E-20 •Linear Regression The regression formula for linear regression is: y A Bx. • Example: Atmospheric Pressure vs. Temperature Temperature AtmosphericPressure 10°C 1003 hPa 15°C 1005 hPa 20°C 1010 hPa 25°C 1011 hPa 30°C 1014 hPa Perform linear regression to determine the regression formula terms and correlation coefficient for the data nearby. Next, use the regression formula to estimate atmospheric pressure at 18°C and temperature at 1000 hPa. Enter REG Mode (Linear Regression) fx-85W: q q 2 1 Other models: q 3 1 A m = (Memory Clear) 10 P1003 S 15 P1005 S 20 P1010 S 25 P1011 S 30.00 30 P1014 S REG (Regression Coefficient A) A q = 997.400 (Regression Coefficient B) A w = 0.5600 (Correlation Coefficient r) A J = 0.98260736800 (Atmospheric Pressure at 18°C) 18 A b 1007.4800 (Temper ature at 1000 hPa) 1000 A O 4.64285714300 •Quadratic Regression • The regression formula for quadratic regression is: y = A + Bx +Cx2 . •Input data using the following key sequence.
Calculadoras - fx-85W (303.49 kb)
Calculadoras - 85WA (303.49 kb)
Calculadoras - 300W (303.49 kb)