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概率和统计中的量

含有数量的截断分布

美国红莓的直径服从均值为 16 毫米、标准差为 1.6 毫米的正态分布. 果实的直径必须大于 15 毫米才能作为单品出售;否则用来生产红莓酱. 求作为单品出售的果实的尺寸分布.

In[1]:=
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cran\[ScriptCapitalD] = NormalDistribution[Quantity[16, "Millimeters"], Quantity[1.6, "Millimeters"]]; \[ScriptCapitalD] = TruncatedDistribution[{Quantity[15, "Millimeters"], \[Infinity]}, cran\[ScriptCapitalD]];

比较概率密度函数.

In[2]:=
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Plot[{PDF[cran\[ScriptCapitalD], Quantity[x, "Milimeters"]], PDF[\[ScriptCapitalD], Quantity[x, "Milimeters"]]}, {x, 10, 22}, PlotLegends -> {"cran\[ScriptCapitalD]", "\[ScriptCapitalD]"}, Filling -> Axis, AxesLabel -> {"mm"}]
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假设一磅包装的红莓的体积大约为 30 in3,求其中红莓数量的平均下限和上限.

In[3]:=
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lowerbound = Floor[NExpectation[ Divide[Quantity[30, "Inches"^3], Volume[Cuboid[{0, 0, 0}, {x, x, x}]]], x \[Distributed] \[ScriptCapitalD]]]
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In[4]:=
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upperbound = Ceiling[NExpectation[ Divide[Quantity[30, "Inches"^3], Volume[Ball[{0, 0, 0}, x/2]]], x \[Distributed] \[ScriptCapitalD]]]
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