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The device can link up by cable to a computer (FA-122 and FA-123 (serial) and FA-124 (USB) interface unit and cables) or to another calculator (SB-62 cable) to transfer data, such as programs, equations, graphs etc. It can also connect to a Casio label printer (SB-62 cable). Transmission speed is stated as 9600 byte/s.
Casio character set [1]; 0 1 2 3 4 5 6 7 8 9 A B C D E F 0x 𝚏 1D68F: 𝚗 1D697: 𝙼 1D67C: 𝙶 1D676: 𝚃 1D683: 𝙿 1D67F: 𝙴 1D674 25E2: ↵ 21B5: ᴇ ...
Casio graphic calculators use Casio BASIC, a programming language based on BASIC. Variable names are restricted to single letters A-Z, which are shared by all programs including subroutines which are stored as separate programs. This means there are no local variables; they are all global. These variables are also shared by other functions of ...
In 1998, the Casio fx-991W model used a two-tier (multi-line) display and the system was termed as S-V.P.A.M. (Super V.P.A.M.). The model featured a 5×6-dot LCD matrix cells on the top line of the screen and a 7-segment LCD on the bottom line of the screen that had been used in Casio fx-4500P programmable calculators. [1]
The Casio Algebra FX series was a line of graphing calculators manufactured by Japanese electronics company Casio Computer Co., Ltd from 1999 to 2003. They were the successor models to the CFX-9970G, the first Casio calculator with computer algebra system , or CAS, a program for symbolic manipulation of mathematical expressions.
[1] The Casio FX-7000G is a calculator which is widely known as being the world's first graphing calculator available to the public. It was introduced to the public and later manufactured between 1985 and c. 1988. [2] Notable features are its ability to graph functions, [3] and that it is programmable.
The FX-603P was a programmable calculator, manufactured by Casio from 1990. It was the successor model to the Casio FX-602P . Since it was only released in a limited number of countries in small quantities, it is now an excessively rare item which commands high prices when sold.
[1] [2] Both describe the degree to which two random variables or sets of random variables tend to deviate from their expected values in similar ways. If X and Y are two random variables, with means (expected values) μ X and μ Y and standard deviations σ X and σ Y, respectively, then their covariance and correlation are as follows: covariance