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diseño experimental

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diseño experimental
 

diseño experimentalOnline version

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by castaño Cristhian
1

El diseño experimental busca explicar únicamente los efectos, no las causas.

2

La aleatorización es uno de los principios fundamentales del diseño experimental.

3

El análisis de varianza solo se aplica a datos cualitativos.

4

La investigación experimental permite manipular una o más variables independientes.

5

Las repeticiones permiten disminuir el error experimental.

6

El bloqueo se utiliza para introducir nuevas variables al experimento.

7

Un experimento sin repeticiones puede estimar adecuadamente el error experimental.

8

El error experimental se reduce cuando se bloquean las fuentes de variación secundarias.

9

El diseño de bloques completos al azar permite controlar una fuente de variación.

10

El análisis de varianza solo se aplica si los datos cumplen normalidad.

11

El diseño experimental nació en las ciencias sociales.

12

La investigación descriptiva estudia causas y efectos.

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