DATAMATH CALCULATOR MUSEUM |
Texas Instruments SS-3008 STATISTICS Solid State Software Cartridge
Date of introduction: | 1983 | Display technology: | |
New price: | $59.95 (MSRP 1983) | Display size: | |
Size: | 2.1" x 2.0" x 0.55" 53 x 52 x 14 mm3 |
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Weight: | 1.0 ounces, 28 grams | Serial No: | |
Batteries: | n.a. | Date of manufacture: | wk 25 year 1983 |
AC-Adapter: | Origin of manufacture: | USA (ATA) | |
Precision: | Integrated circuits: | HN61256P | |
Memories: | |||
Program steps: | Courtesy of: | Joerg Woerner |
The SS-3008 STATISTICS Solid State Software Cartridge (SSSC) was developed by Texas Instruments for its CC-40 Compact Computer System and contains 14 easy-to-use programs chosen to serve a broad range of statistical applications:
• Descriptive Statistics - Histogram • Descriptive Statistics - Means and Moments • Parametric Tests - T-Test Paired Observations • Parametric Tests - T-Test Unpaired Observations • Non-Parametric Tests - Contingency Table Analysis • Non-Parametric Tests - Mann-Whitney Rank-Sum Test • Analysis of Variance - One-Way ANOVA • Analysis of Variance - Two-Way ANOVA • Theoretical Distributions - Binominal Distribution • Theoretical Distributions - Chi-Square Distribution • Theoretical Distributions - F-Distribution • Theoretical Distributions - Normal Distribution • Theoretical Distributions - Poisson Distribution • Theoretical Distributions - Student's T-Distribution |
Dismantling a Solid State Software Cartridge manufactured by Texas Instruments in their Abilene, Texas facility, reveals a small printed circuit board (PCB) with
a HN61256P ROM (Read-Only Memory) manufactured by Hitachi, Japan.
The HN61256P
uses a CMOS process resulting in a very low power consumption of 7.5 mW and
features a capacity of 32k Bytes with an access time of 3.5 us.
Don't miss an early prototype of the STATISTICS SSSC with a different form factor and electrical connector fitting only the never released prototypes of the Compact Computer 40.
If you have additions to the above article please email: joerg@datamath.org.
© Joerg Woerner, October 19, 2019. No reprints without written permission.