Which of these statements about statistical power is true?

We can use power to determine how big a sample is required to detect an effect of a certain size

Power is linked to the probability of making a type I error

Power is the ability of a test to detect an effect

A Type I error means that a researcher has...

concluded that a treatment has an effect when it really has no effect

concluded that a treatment has an effect when it really does

concluded that a treatment has no effect when it really has no effect

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Kirsten Murray 3 preguntas

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1The strength of the relationship between the independent and dependent variable is reflected in the measure of
1. APower
2. Beffect size
3. Creliability
4. Ddistribution
2Which of these statements about statistical power is true?
1. APower is linked to the probability of making a type I error
2. BPower is the ability of a test to detect an effect
3. CWe can use power to determine how big a sample is required to detect an effect of a certain size
3
A Type I error means that a researcher has...
1. Afalse negative
2. Bconcluded that a treatment has an effect when it really has no effect
3. Cconcluded that a treatment has an effect when it really does
4. Dconcluded that a treatment has no effect when it really has no effect

Descripción: Cambridge Research skills Test sobre Power & Effect size, creado por Kirsten Murray el 10/01/2023.
Autor: Kirsten Murray
Idioma: English
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Etiquetas: research skills cambridge
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