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Evidence refers to the information or data that supports or refutes a claim, hypothesis, or theory, often gathered through observation, experimentation, or research. Variables are the elements or factors in a study that can change or be manipulated; they are typically classified as independent variables (which are controlled or changed) and dependent variables (which are measured or observed for changes). Together, evidence and variables are crucial in scientific inquiries, helping researchers draw conclusions and establish relationships between different aspects of a study.
What else can I help you with?
What is the differecnce between independent variables and dependent variables?
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
What are controlled independent and dependent variables?
control variables: the things that are not changing.Independent variables: the things that you change.Dependent variables: the things that are changed due to the independent variable
Is NOT necessary when determining a causal relationship between two variables?
It is not necessary to establish a direct temporal order between two variables when determining a causal relationship if there is strong evidence of a third variable influencing both. Correlation alone does not imply causation, so additional evidence, such as experimental manipulation or longitudinal studies, is often required. Additionally, ruling out alternative explanations is crucial to strengthen claims of causation. Thus, while temporal order is important, it is not the sole determinant of causality.
What are the possible variables?
Possible variables can include independent variables, which are manipulated in experiments, and dependent variables, which are measured outcomes. Other types include controlled variables, which are kept constant to ensure a fair test, and extraneous variables, which could unintentionally affect results. Additionally, categorical variables represent distinct groups, while continuous variables can take on a range of values. Identifying and managing these variables is crucial for accurate research and analysis.
Can continuous variables assume a limited number of values between any 2 specific values?
Yes, if you have two limiting variables with other possibles variables between them, the variables between the limiting variables would be continuous.
The facts figures and other evidence collected ia an experiment are?
Variables
Facts figure sand other evidence collected in an experiment are called?
Variables
When a firearm is discharged in the commission of a crime's physical evidence is almost never available?
Depends on many variables.
What research method yields the most definite evidence of cause effect conclusions?
Experimental research method yields the most definite evidence of cause-effect conclusions because it involves manipulating variables, controlling extraneous factors, and randomly assigning participants to conditions, allowing researchers to establish a causal relationship between variables.
What change would make the evidence stronger?
Including a larger sample size of participants or conducting a randomized controlled trial would make the evidence stronger. Additionally, ensuring that the study design minimizes bias and confounding variables would enhance the strength of the evidence.
Is narrative more important than evidence in marketing?
No. Evidence is almost always more important than narrative.
What does a correlation coefficient of r -0.01 imply about the graph of a data set?
It suggests that there is very little evidence of a linear relationship between the variables.
Can an experiment that has several variables be used to explain theory?
Yes, an experiment with several variables can be used to test and provide evidence for a theory. By manipulating and controlling the variables, researchers can investigate the relationships between them and how they affect the outcomes, helping to support or refute theoretical predictions. However, it is essential to design the experiment carefully to ensure that the results are reliable and can contribute to a better understanding of the theory.
What conclusions can you draw if the line of best fitting on a linear graph does not slope either up or down but is horizontal?
The conclusion would be that there is no evidence of a linear relationship between the variables. There could well be a non-linear (eg quadratic) relationship.
How do the test variables and outcome variables in an experiment compare?
Test variables are the factors that are intentionally changed or manipulated by the researcher in an experiment, whereas outcome variables are the factors that are measured and affected by the test variables. Test variables are the independent variables that are controlled by the researcher, while outcome variables are the dependent variables that change in response to the test variables. The relationship between the test variables and outcome variables is explored to determine the effect of the test variables on the outcome variables.
How many variables are tested during an experiment?
There are three types of variables tested: manipulated variables, controlled variables, and experimental variables.
What is the differecnce between independent variables and dependent variables?
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
