Sono stati trovati 104 prodotti corrispondenti alla tua ricerca per stats in 5 negozi:

Per gcse, 32 KB di memoria, 16 cifre display, 8 linee, 64 x 96 pixel matrice, calcolo, storage dei dati Elenchi, analisi grafica interattiva con tonalità e integrali (ti-82 statistiche) Calcolatrice Ricaricabile

TI-82 STATS + Garanzia 5 anni + Custodia

Pagine: 110, Copertina flessibile, Independently published

Pagine: 110, Copertina flessibile, Independently published

Pagine: 70, Copertina flessibile, Independently published

Protezione ottimale per il tuo calcolatore Guscio resistente in materiale rigido e vestibilità precisa Forma aderente per una presa sicura e cerniera su tre lati Attenzione: la calcolatrice non è inclusa. Questa serve solo a scopo illustrativo. Contenuto: Custodia protettiva Scelta di colori: Nero, Blu, Rosso, Turchese, Grigio Chiaro, Grigio Scuro, Rosa

Pagine: 117, Copertina flessibile, Independently published

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis - from collecting data and generating statistics to identifying patterns and testing hypotheses. You'll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that's cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Pagine: 97, Copertina flessibile, Independently published

If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis - from collecting data and generating statistics to identifying patterns and testing hypotheses. You'll explore distributions, rules of probability, visualization, and many other tools and concepts. New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries. Develop an understanding of probability and statistics by writing and testing code Run experiments to test statistical behavior, such as generating samples from several distributions Use simulations to understand concepts that are hard to grasp mathematically Import data from most sources with Python, rather than rely on data that's cleaned and formatted for statistics tools Use statistical inference to answer questions about real-world data

Pagine: 110, Copertina flessibile, Independently published

Pagine: 120, Copertina flessibile, Independently published