5.6-2. Let Y = X1 + X2 + • . + X15 be the sum of a ran- dom sample of size 15 from the distribution whose pdf is f(x) = (3/2)x², -1

5.6-2

5.6-2. Let Y = X1 + X2 + • . + X15 be the sum of a ran-<br>dom sample of size 15 from the distribution whose pdf is<br>f(x) = (3/2)x², -1 < x < 1. Using the pdf of Y, we find<br>that P(-0.3 < Y < 1.5) = 0.22788. Use the central limit<br>theorem to approximate this prohahiliti<br>%3D<br>%3D<br>%3D<br>

Extracted text: 5.6-2. Let Y = X1 + X2 + • . + X15 be the sum of a ran- dom sample of size 15 from the distribution whose pdf is f(x) = (3/2)x², -1 < x="">< 1.="" using="" the="" pdf="" of="" y,="" we="" find="" that="" p(-0.3="">< y="">< 1.5)="0.22788." use="" the="" central="" limit="" theorem="" to="" approximate="" this="" prohahiliti="" %3d="" %3d="">

Jun 01, 2022

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5.6-2. Let Y = X1 + X2 + • . + X15 be the sum of a ran- dom sample of size 15 from the distribution whose pdf is f(x) = (3/2)x², -1

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