Answered

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Select the correct answer from each drop-down menu.
When Raymond observes certain natural phenomena, he often forms Ideas about their causes and effects. Suppose that Raymond
surmises that leaves change color in autumn due to scarcity of sunlight. In order to test whether his idea is accurate, he must first
construct a falsifiable
that defines a clear relationship between two variables. Raymond's next step is to
that would Isolate and test the relationship between the two variables. This task can be pretty
variables that could confuse test results.
daunting because Raymond will need to identify and eliminate any

Sagot :

Martebi

The answers for each of the drop-down menu are:

  • Hypothesis
  • Design and experiment
  • Confounding

What is confounding in experimental design?

The  confounding design is  known to be a type of a design where some treatment effects (such as the main or interactions effect) are said to be approximated by the same linear association of the experimental observations as some blocking effects.

Note that an hypothesis is said to be a kind of preplanned or proposed explanation for any kind of a phenomenon that occurs in an experiment.

Therefore based on the issue of Raymond, The answers for each of the drop-down menu are:

  • Hypothesis
  • Design and experiment
  • Confounding

Learn more about Hypothesis from

https://brainly.com/question/11555274

#SPJ1

See full question below

Select the correct answer from each drop-down menu.

When Raymond observes certain natural phenomena, he often forms ideas about their causes and effects. Suppose that Raymond surmises that leaves change color in autumn due to scarcity of sunlight. In order to test whether his idea is accurate, he must first construct a falsifiable [THEORY/LAW/HYPOTHESIS] that defines a clear relationship between two variables. Raymond's next step is to [DESIGN AN EXPERIMENT/COMPLETE MATHEMATICAL CALCULATIONS/PROPOSE AND EXPLANATION] that would isolate and test the relationship between the two variables. This task can be pretty daunting because Raymond will need to identify and eliminate any [CONFOUNDING/DEPENDENT/INDEPENDENT] variables that could confuse test results.

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