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Q: When the chemist designs his experiment what should be the only independent variable?
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When the biologist designs her experiment what should be the manipulated variable of the experiment?

temperature


A chemist hypothesizes that mercury oxide will undergo a decomposition reaction if it reaches a certain temperature When the chemist designs his experiment what should be the only independen?

temperature


Why do you think it is important that the experiment that the person designs only answer the question that they are asking?

I think it is important that the experiment that the person designs only answers the question they are asking because they might do something wrong and get the wrong idea.


Why do you think it important that the experiment that a person designs only answers the question that they are asking?

I think it is important that the experiment that the person designs only answers the question they are asking because they might do something wrong and get the wrong idea.


Why do you think it is important that the experiment that a person designs only answers the question that they are asking?

I think it is important that the experiment that the person designs only answers the question they are asking because they might do something wrong and get the wrong idea.


After the scientist makes a hypothesis they perform a to collect data?

the answer is the scientist designs a scientific inquiry


What is research design that has multiple independent and dependent variables?

Factorial designs


What is a research method that allows you to determine cause and effect?

An experimental research method allows you to determine cause and effect by manipulating an independent variable to observe its effect on a dependent variable while controlling for potential confounding variables. Random assignment of participants to different conditions is a key feature of experimental designs.


What are the three basic research designs?

Three basic research designs are experimental, correlational, and quasi-experimental.Experimental designs have random assignment to conditions. Correlational designs define the relationship between two measured values. Quasi-experimental designs have participants grouped on a variable that isn't manipulated.


What is the difference between natural group design and matched group design?

Natural group designs: A type of independent groups design in which the conditions represent the selected levels of a naturally occurring independent variable, for example, the individual differences of variable age. Researchers use natural groups designs to meet the first two objectives of the scientific method: description and prediction.· Individual differences (or subject variables) are selected rather than manipulated; represents a type of correlational research in which researches look for covariations between natural groups variables and dependent variables;· Causal inferences cannot be made regarding the effects of natural groups variables because plausible alternative explanations for group differences exist.Matched group designs:A type of independent groups design in which the researcher forms comparable groups by matching subjects on a pretest task and then randomly assigns the members of these matched sets of subjects to the conditions of the experiment. Matched group designs are a good alternative when neither the random groups design nor the repeated measures design can be used effectively.


What is the benefit of conducting an experiment rather than using a different study?

Conducting an experiment allows researchers to establish a cause-and-effect relationship between variables by manipulating one variable and observing the effect on another. This can help determine the impact of specific factors on outcomes. Other study designs may not allow for this level of control and may not provide as strong evidence of causation.


What are the strengths of an experimental design?

Experimental designs allow researchers to establish cause-effect relationships by manipulating variables and controlling for potential confounding factors. They provide high internal validity due to their ability to isolate the effects of the independent variable. Experimental designs also allow for replication and generalization of findings to a larger population.