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MATH-2820 Lecture 16: Central limit theorem

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Introduction to Probability and Mathematical Statistics

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John Rafter

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<p>9. The central limit theorem does not apply to discrete random variables, A) True B) False</p>

<p>20. Since confidence intervals are based on the sampling distribution of the sample mean, it is possible to form confidence intervals when sampling from slightly skewed distributions due to the central limit theorem. A) True B) False</p>

<div style="font-family:'Helvetica Neue', Helvetica, Arial;color:#333333;" align="left"> <p dir="ltr"><picture><source srcset="https://prealliance-textbook-qa.oneclass.com/qa_images/homework_help/question/qa_images/72/7286759.jpeg" type="image/webp"></source><img src="https://prealliance-textbook-qa.oneclass.com/qa_images/homework_help/question/qa_images/72/7286759.jpeg" alt=""></picture></p> </div> <p dir="ltr"></p> <div id="cug" class="hidden">Problem 4 (20 points) Verify Stokes' Theorem for F : S â R3 given by F(z, y, z) = (30, 42,-6x ), and the surface S given by S = {(x, y, z) | z-16-x2-y2 and z 0). Note that t boundary of S is the circle 2 +y2 16 in the a-y plane. 1. Compute the left side of the theorem! </div>

MATH-2820 Lecture 16: Central limit theorem

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