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jtoole5341
07.04.2020 •
Biology
Dr. Deveraux has conducted a study that has resulted in a null effect. Nonetheless, she suspects that there truly is a causal relationship between her independent and dependent variables. Which of the following is UNLIKELY to be to blame?a. A reverse confound
b. An insensitive measure
c. Too many participants
d. A weak manipulation
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Ответ:
Explanation:
A dependent variable represents a quantity whose value depends on how the independent variable is manipulatedAn independent variable is a variable that represents a quantity that is being manipulated in an experimentA causal relation between two events exists if the occurrence of the first causes the otherThe first event is called the cause and the second event is called the effectOne way to determine whether a relationship between variables is causal is based on three criteria for research design: temporal precedence meaning that the hypothesized cause happens before the measured effect; co-variation of the cause and effect meaning that there is an established relationship between the two variables regardless of causation; and a lack of plausible alternative explanationsHere in this case too may participants cannot be the criteria for a causal relationship between the two variablesОтвет:
Todos los seres vivos, grandes o pequeños, vegetales o animales, están formados por células. La mayoría de los seres vivos están formados por una sola célula y se denominan organismos unicelulares. Muchos otros seres vivos están formados por una gran cantidad de células que forman una planta o un animal más grande. Estos seres vivos se conocen como organismos multicelulares.