What Premise is
In statistics, a premise is a statement or series of statements that are assumed to be true in order to reach a conclusion or draw a logical inference. A premise is a key component in any logical argument and is used to provide support for the conclusion.
Steps for Premise:
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Identify the argument and the conclusion: This involves understanding the purpose of the statement and what it is trying to prove.
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Break down each statement: Each statement should be broken down into its component parts in order to identify any possible underlying assumptions.
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Analyze the premises: Each premise should be analyzed to determine if it is supported by evidence or if it is an assumption.
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Determine the implications of the premises: This involves understanding the implications of the premises on the conclusion.
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Evaluate the conclusion: The conclusion should be evaluated to determine if it is supported by the premises.
Examples
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A premise in statistics is the assumption of a certain relationship between two variables that is used as the basis for making a prediction or inference. For example, a researcher may assume that there is a positive correlation between age and income, which can be used to make an inference regarding the average salary of a given age group.
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Another premise in statistics is the assumption of a certain distribution of data. For example, a researcher may assume that a given data set follows a normal distribution, which can be used to make predictions about the probability of observing certain values in the data.
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A third premise in statistics is the assumption of a certain type of model or method for making predictions or inferences. For example, a researcher may assume that a linear regression model is appropriate for making predictions about a given outcome, based on a set of explanatory variables.