TI-84 PLUS CE-T
€ 100,00
Ophalen
780sinds 11 feb. '25, 21:18
Kenmerken
ConditieZo goed als nieuw
EigenschappenGrafische rekenmachine
Beschrijving
The TI-84 Plus CE-T Python Edition graphing calculator is extremely lightweight and practical. This new model allows programming in Python. With 3MB ROM flash memory for data archiving and application storage
Calculator with ideal readability thanks to its high-resolution backlit display. Display size: 320 x 240 pixels (2.8 inch diagonal) in 140 DPI resolution, 16-bit color depth. Built-in TI battery (TI battery can last up to a week after charging)
Add images as the background of the chart, change function charts to 15 colors, format and color of axes and grids of charts. 3 statistical diagram definitions for scatter plots, line charts, histograms, boxplots and modified boxplots as well as normal distribution diagrams
Available matrix operations: inversion, determinant, transposition, matrix extension, normal staircase shape, and basic line transformations. Convert a matrix to a list (and vice versa) List-based statistical analysis for one or two variables, including logistic, sinusoidal, median-median, linear, logarithmic, exponential, power, square, cubic, and quaternal regression models
Calculator with ideal readability thanks to its high-resolution backlit display. Display size: 320 x 240 pixels (2.8 inch diagonal) in 140 DPI resolution, 16-bit color depth. Built-in TI battery (TI battery can last up to a week after charging)
Add images as the background of the chart, change function charts to 15 colors, format and color of axes and grids of charts. 3 statistical diagram definitions for scatter plots, line charts, histograms, boxplots and modified boxplots as well as normal distribution diagrams
Available matrix operations: inversion, determinant, transposition, matrix extension, normal staircase shape, and basic line transformations. Convert a matrix to a list (and vice versa) List-based statistical analysis for one or two variables, including logistic, sinusoidal, median-median, linear, logarithmic, exponential, power, square, cubic, and quaternal regression models
Zoekertjesnummer: m2234209540
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