New game
Download
Get Academic Plan
Share game
Integrate it into your platform

You can integrate the game into an LMS compatible with LTI 1.1 or LTI 1.3 such as Canvas, Moodle, or Blackboard. This way, the scores will be automatically saved into the platform’s gradebook.
Download
You have exceeded the maximum number of games you can integrate into Google Classroom with your current Plan.

To integrate as many games as you want in Google Classroom, you need an Academic Plan or a Commercial Plan.

You have exceeded the maximum number of games you can integrate into Microsoft Teams with your current Plan.

To integrate as many games as you want in Microsoft Teams, you need an Academic Plan or a Commercial Plan.

Downloading games is an exclusive feature for users with an Academic Plan or a Commercial Plan.

Get your Academic Plan or your Commercial Plan now and start integrating your games into your LMS, website or blog.

If you wish, you can download a demo game here and test its integration:

Confiabilidad en Dispositivos Médicos

Yes or No

Played 28

About this activity

Evalúa fiabilidad con Weibull y Lognormal

Created by

Costa Rica

Download the paper version to play

Make your own free game from our game creator
Compete against your friends to see who gets the best score in this game

Top Games

%
Anonymous
Anonymous
%
%
%
You have exceeded the maximum number of games you can print with your current Plan.

To print as many games as you want, you need an Academic Plan or a Commercial Plan.

Print your game
Confiabilidad en Dispositivos Médicos
 

Confiabilidad en Dispositivos MédicosOnline version

Evalúa fiabilidad con Weibull y Lognormal

by Daniel Cruz
1

La confiabilidad se estima a partir de la función de supervivencia o de la probabilidad de fallo complementaria.

2

La distribución normal es la más adecuada para modelar todos los fallos de dispositivos médicos.

3

Weibull solo se usa para fallos instantáneos y no permite interpretar envejecimiento.

4

La distribución de Weibull se utiliza para modelar fallas cuyo ritmo cambia con el tiempo.

5

Weibull y lognormal no pueden coexistir en ningún análisis de confiabilidad.

6

La distribución lognormal no tiene cola y por ello no es útil para colas largas de fallo.

7

La distribución lognormal puede describir fallos por procesos de fatiga en dispositivos médicos.

8

En análisis de confiabilidad no se utilizan gráficos de probabilidad para evaluar ajuste de datos.

9

Se pueden comparar distribuciones con pruebas de Bondad de Ajuste como Kolmogorov-Smirnov o Anderson-Darling.

10

La forma de Weibull (parámetro beta) indica envejecimiento cuando es mayor que 1.

Are you sure you want to leave the page?

If you leave the page, you will lose your game progress.