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" "# (For Parting Gate) Where, H = Height of the metal column above the gate in centimeter (Top Box Height) 16 cm P = Height of the casting above the gate in centimeters C = Total Height of the casting in centimeters E SH = 16 98 2 2 & 1767 E SH = 16 9604 3534 E SH = 16 271 E SH = 1329. U b N } N ɓo ^ @ { S ̃^ C X g A ^ C T u g N v Ɨ 悤 I. ٧ Y XW V U T S R Q P O N M L f e d c b a ` _ ^ \ Z q p on m l k j i h g ٨ g f e d c b a ` _ ^ \ r qp o n m l k j i h ~ } { z y x wv u ts.

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̂ڂ E t b O E o _ i ̓C x g L y 𐷂 グ ԕi ł B ʎY 鎖 Œቿ i ܂ I Ԃ̂ڂ e ቿ i ł p ӂ ܂ B. A DDI T I ON A L PR E SE N T A T I ON S D P ' 6 1 5 2 % 9 3 4 C F A 0 8 S P 3 5 2 6 8 9 A 0 4 1 C % R i c h a rd S h ra k e Limit ed t o 12 riders, 4H members h ave priorit y $ 250 per 4H rider, $ 3 00 per n on 4H rider Overn igh t st alls may be available A s h l ey F i ed l er. Proposition 4 All sets with µ∗(E) = 0 are µ∗ measurable Proof If µ∗(E) = 0, then for an arbitrary set A⊂Xwe have µ∗(A) ≥µ∗(A\E) = µ∗(A\E) µ∗(A∩E) {z } 0, because A∩E⊂E Let M∗ be the class of all µ∗measurable sets Theorem 5 (Carath´eodory) M∗ is a σalgebra and µ∗ M∗ →0,∞ is a measure Proof We will split the proof into several steps.

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T is what we compute when we observe the random variable X take on some specific values in a sample The probability distribution of a statistic Y = T(X) is called the sampling distribution of Y Notice that T(·) is a function of sample values only, it does not depend on any underlying parameters, θ 13 Some Commonly Used Statistics 131. K ¬ ¨ E Ä ¶ ¬ ¨( R30% ) Ì 2 í Þ É Â ¢ Ä ¢ ð s ¤ ± Æ Æ µ A ä r ¬ ¨ É Í ü ¿ A X t @ g ð g p µ ½ ¬ ¨ ð p ¢ é i z \1 j B S ² Y Á Ê Í A X t @ g ¬ ¨ Ì ¿ Ê É Î µ Ä 10% Å é B. T PMS C x g uSPRING 9KEYS ROAD 11 v ͂ I Imp No W ^ C g A e B X g 1 1.

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