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Falacia: Generalización apresurada

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Falacia: Generalización apresurada

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About this activity

Identifica si las afirmaciones son ciertas.

Created by

Ktsm Antijsjs
Ktsm Antijsjs
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Falacia: Generalización apresurada
 

Falacia: Generalización apresuradaOnline version

Identifica si las afirmaciones son ciertas.

by Ktsm Antijsjs
1

Todos los ejemplos deben ser idénticos para hacer una generalización.

2

La conclusión debe basarse en evidencia amplia y representativa para evitar la generalización apresurada.

3

La falacia de generalización apresurada solo ocurre cuando se utilizan estadísticas.

4

La generalización apresurada se produce cuando se saca una afirmación general a partir de pocos casos.

5

Una muestra de 1000 casos siempre evita la generalización apresurada.

6

Si tu observación es anecdótica, no puede haber falacia.

7

Un solo ejemplo no basta para generalizar una característica a toda una población.

8

Las generalizaciones apresuradas son equivalentes a generalizaciones lógicas válidas.

9

El sesgo de una muestra no representativa puede conducir a una falacia de generalización apresurada.

10

Evitarla implica usar muestreo aleatorio y tamaños adecuados.

 
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