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Undergraduate · Uniform convolution · 33 of 650

Uniform convolution · First uniform width a=2.5; Second uniform width b=2.5

Evaluate at sum value s=3, three fifths of the support length. Find the density f_S(s), cumulative probability P(S≤s), and expected sum. Givens: First uniform width a=2.5; Second uniform width b=2.5.

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01 · Make a prediction

Your practice question

X and Y are independent continuous uniforms on [0,2.5] and [0,2.5], respectively. Let S=X+Y. Evaluate at sum value s=3, three fifths of the support length. Find the density f_S(s), cumulative probability P(S≤s), and expected sum.

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02 · Explore the model

See the mathematical relationship move.

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Watch the relationship

Paused
Uniform convolution · First uniform width a=2.5; Second uniform width b=2.5. Sum value: 0. Density at that value: 0. Cumulative probability: 0. Expected sum: 2.5Probability comes from integrated density00.402.55probability densitysum x → · labeled axes rescale to this model
The two variables are independent continuous uniforms with positive widths. The formula uses positive parts. The graph is an exact density with total area one, not a histogram or a claim that an exact point has positive probability.

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Make it your experiment

Change one value. Notice what follows.

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Sum value
0
Density at that value
0
Cumulative probability
0
Expected sum
2.5

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From experiment to screen.

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The mathematical idea

The density of the sum of two independent uniforms is proportional to the overlap of two intervals. Equal widths give a triangle; unequal widths create a flat middle section. The density height is not a point probability, and integrating it gives the cumulative probability. X and Y are independent continuous uniforms on [0,2.5] and [0,2.5], respectively. Let S=X+Y. Evaluate at sum value s=3, three fifths of the support length. The requested state occurs at 60% playback; use the exact target stated in the question for your calculation.

f(x)=[x₊−(x−a)₊−(x−b)₊+(x−a−b)₊]/(ab)

03 · Reflect and transfer

Explain what changes and why.

Why does swapping the two uniform widths leave the sum distribution unchanged?

This is a distinct guided scenario using a reusable mathematical model. Similar-looking diagrams can represent different given values and conclusions; they are not different mathematical theories.