About: Informal inferential reasoning

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In statistics education, informal inferential reasoning (also called informal inference) refers to the process of making a generalization based on data (samples) about a wider universe (population/process) while taking into account uncertainty without using the formal statistical procedure or methods (e.g. P-values, t-test, hypothesis testing, significance test). In statistics education literature, the term "informal" is used to distinguish informal inferential reasoning from a formal method of statistical inference.

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  • In statistics education, informal inferential reasoning (also called informal inference) refers to the process of making a generalization based on data (samples) about a wider universe (population/process) while taking into account uncertainty without using the formal statistical procedure or methods (e.g. P-values, t-test, hypothesis testing, significance test). Like formal statistical inference, the purpose of informal inferential reasoning is to draw conclusions about a wider universe (population/process) from data (sample). However, in contrast with formal statistical inference, formal statistical procedure or methods are not necessarily used. In statistics education literature, the term "informal" is used to distinguish informal inferential reasoning from a formal method of statistical inference. (en)
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  • In statistics education, informal inferential reasoning (also called informal inference) refers to the process of making a generalization based on data (samples) about a wider universe (population/process) while taking into account uncertainty without using the formal statistical procedure or methods (e.g. P-values, t-test, hypothesis testing, significance test). In statistics education literature, the term "informal" is used to distinguish informal inferential reasoning from a formal method of statistical inference. (en)
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  • Informal inferential reasoning (en)
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