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Why is it important to establish a cause and effect between the selected known variable and unknown variables?
To show the highest degree of validity of a hypothesis.
Which of the following would let you show a relationship between two variables where each piece of data is connected to all the others?
Line graph
Why do graphs show relationships between variables?
Cuz is math in variable has to be true in good to be with the graph or u know messed up the graph
What do two variables with parallel lines on a line graph show?
correlation
Does a line graph show the relationship between three variables?
a simple 2d xy line graph has only the possibility for 2 different variables (x and y). for a 3 variable graph you would have to go into a 3d xyz graph with each variable as x, y and z. it is possible to fit a line to this but for an easier analysis it is better to analyse the variables in pairs.
Why is it important to establish a cause and effect between the selected known variable and unknown variables?
To show the highest degree of validity of a hypothesis.
Which research methods can show cause and effect?
Experimental research methods, such as randomized controlled trials, are best suited to demonstrate cause and effect relationships. By manipulating an independent variable and measuring its effect on a dependent variable while controlling for confounding variables, researchers can establish a causal relationship between variables.
Which type of research method is used to show cause and effect that one variable causes change in another variable?
The experimental research method is typically used to show cause and effect between variables, where one variable is manipulated to observe the effect on another variable. This method involves randomly assigning participants to different conditions and controlling for extraneous variables to establish a causal relationship.
Cause and effect conclusions can be drawn from what kind of studies?
Cause and effect conclusions can be drawn from experimental studies, where researchers manipulate an independent variable to observe its effect on a dependent variable. Correlational studies, on the other hand, can only show associations between variables but not causation.
What are the Difference between endogenous and exogenous variables?
Endogenous variables are important in econometrics and economic modeling because they show whether a variable causes a particular effect. Economists employ causal modeling to explain outcomes (dependent variables) based on a variety of factors (independent variables), and to determine to which extent a result can be attributed to an endogenous or exogenous cause.
Why are cause-and-effect essays written?
To show a relationship between events
Used to show the relationship between two variables?
Line graph is used to show relationship between two variables.
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.
Is although a cause and effect?
No, "although" is a conjunction used to introduce a contrast or concession between two clauses, not to show cause and effect. It usually indicates a contrast between two ideas or facts.
What is a sentence using the words cause and effect?
"The FDA sought to show a cause and effect relationship between smoking and cancer."(separately)"The cause of the crash was unknown, but the effect was a tremendous traffic jam."
Can you Show cause and effect connectives?
Certainly! Cause and effect connectives are words or phrases that show the relationship between an action (cause) and its result (effect). Examples include "because," "since," "as a result," and "therefore." These connectives help to link two events together in a logical sequence.
What research methods can show cause and effect?
Experimental research methods, such as randomized controlled trials, are designed to establish cause and effect relationships by manipulating one or more variables and observing the effect on another variable. These methods involve random assignment of participants to different conditions to ensure that any observed effects can be attributed to the manipulation of the independent variable. Longitudinal studies that track changes over time can also provide evidence of cause and effect relationships, although they may be subject to confounding variables.
