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When an experiment shows that one variable makes another variable change and no other variables have any effect the experiment shows .?
causation
When an experiment showes that one variable makes another variable change and no other variable has any effect what is the experiment showing?
causation
In a experiment what is the independent variable?
The independent variable is the item that varies through out the experiment. The dependent variable is what changes due, and that is what we get our information from. For example: Patrick had a science experiment. He had 2 cups filled with dirt. Cup A had more water than Cup B. Each cup held the same type of seed and were both put in equal sunlight at equal amounts of times. What is the independent variable in this experiment? Answer: The water. The dependent variable would be the plant growth. *An easy tip to remember this is using the scientific title. "The effect of _______ on _______" The first blank is always the INDEPENDENT Variable, thus making the second blank a DEPENDENT. So in this experiment it would be "The effect of AMOUNTS OF WATER on PLANT GROWTH." This shows that the Independent Variable = Water Dependent = Plant Growth
Why are constants in scientific experiments?
In a scientific experiment, a constant is a set value or substance that you would compare your results to. If you had four test tubes, the first would be a constant in which there are no variables, and each other test tube would have one variable. The constant shows the regular effects that would occur before a variable is added or adjusted in an experiment.
How does the manipulation of an independent variable during a scientific experiment allow a scientist to find a cause-and-effect relationship between variables?
The independent variable, or manipulating variable always affect the outcome of a dependent, or responsive, variable. For example, i have a fire going, and i want to put it out. I could use a range of materials. The range of materials is the independent variable, while the fire going out or not is the dependent variable. This shows a cause and effect.
When the experiment shows that two variable are closely related the experiment shows?
coorelation
When an experiment shows that two variable are closely related the experiment?
correlation
When an experiment shows that two experiment's are closely related the experiment's shows what?
Correlation
When an experiment shows that shows that two variables are closely related the experiment shows?
hypothesis
When an experiment shows two variables are closely related the experiment shows?
hypothesis
When an experiment shows that two variable are closing related the experiment shows?
correlation
When an experiment shows that two variables are closely related the experiment shows blank?
correlation.
When an experiment shows that two variable are related the experience shows?
correlation
When an experiment shows that two variable are closely related what does the experiment show?
The experiment shows that there is a correlation between the two variables, meaning that as one variable changes, the other variable changes in a consistent way. However, it does not necessarily establish a cause-and-effect relationship between the variables. Further analysis is needed to determine causation.
When an experiment shows that two variable ate closely related the experiment shows?
that there is a strong correlation between the two variables. This suggests that a change in one variable is associated with a change in the other variable. However, correlation does not imply causation, so further experiments are needed to establish if there is a causal relationship between the variables.
When an experiment shows that two variable are closely related that experiment shows?
that there is a correlation between the two variables. However, correlation does not imply causation, so it is important to further investigate to determine the nature of the relationship between the variables.
When constructing a graph the y-axis is most closely related to which variable?
In a graph, the y-axis is most closely related to the dependent variable, which is the variable that is affected by changes in the independent variable represented on the x-axis. The y-axis typically shows the outcome or response being measured in the study or experiment. This relationship helps to visualize how the dependent variable responds to variations in the independent variable.
