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'''统计推断 Inferential statistics'''包括测量特定变量之间关系的技术。例如,回归分析可以用来建立广告的变化的模型,可以知道广告的变化(独立变量 <math>x </math>)是否可以解释销售的变化(因变量 <math>y</math>)。用数学术语来说,<math>y</math>(销售)是 <math>x</math> (广告)的函数。它可以被描述为<math> Y = aX + b + error</math>,其中模型的设计使得 <math>a</math> <math>b</math> 在模型某预测给定范围 <math>x</math> <math>y</math> 时具有最小的误差。分析人员可能会尝试建立描述数据的模型,以简化分析和表示结果。<ref name="Judd and McClelland 1989"/>
[[Inferential statistics]] includes techniques to measure relationships between particular variables.  For example, [[regression analysis]] may be used to model whether a change in advertising (independent variable ''X'') explains the variation in sales (dependent variable ''Y''). In mathematical terms, ''Y'' (sales) is a function of ''X'' (advertising). It may be described as ''Y''&nbsp;= ''aX'' + ''b'' + error, where the model is designed such that ''a'' and ''b'' minimize the error when the model predicts ''Y'' for a given range of values of ''X''. Analysts may attempt to build models that are descriptive of the data to simplify analysis and communicate results.<ref name="Judd and McClelland 1989"/>
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Inferential statistics includes techniques to measure relationships between particular variables.  For example, regression analysis may be used to model whether a change in advertising (independent variable X) explains the variation in sales (dependent variable Y). In mathematical terms, Y (sales) is a function of X (advertising). It may be described as Y&nbsp;= aX + b + error, where the model is designed such that a and b minimize the error when the model predicts Y for a given range of values of X. Analysts may attempt to build models that are descriptive of the data to simplify analysis and communicate results.
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'''统计推断 Inferential statistics'''包括测量特定变量之间关系的技术。例如,回归分析可以用来建立广告的变化的模型,可以知道广告的变化(独立变量 <math>x </math>)是否可以解释销售的变化(因变量 <math>y</math>)。用数学术语来说,y(销售)是 x (广告)的函数。它可以被描述为 Y&nbsp;= aX + b + error,其中模型的设计使得 a 和 b 在模型某预测给定范围 x 的 y 时具有最小的误差。分析人员可能会尝试建立描述数据的模型,以简化分析和表示结果。
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===Data product 数据产品===
 
===Data product 数据产品===