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ANA ̊i q 󌔁EJAL ̊i q 󌔁E X ^ t C ̊i q 󌔂̎ Ȃ i q com ɂ C !. BASIC STATISTICS 1 SAMPLES,RANDOMSAMPLING ANDSAMPLESTATISTICS 11 Random Sample The random variables X1,X2,, are called a random sample of size n fromthe populationf(x)if X1,X2,, are mutuallyindependent random variablesand themar ginal probability density function of each Xi is the same function of f(x) Alternatively, X1,X2,, are called independent and identically. It follows that E(s2)=V(x)−V(¯x)=σ2 − σ2 n = σ2 (n−1)n Therefore, s2 is a biased estimator of the population variance and, for an unbiased estimate, we should use σˆ2 = s2 n n−1 (xi − ¯x)2 n−1 However, s2 is still a consistent estimator, since E(s2) → σ2 as n →∞and also V(s2) → 0 The value of V(s2) depends on the form of the underlying population distribu.

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Values The Qfunction is well tabulated and can be computed directly in most of the mathematical software packages such as R and those available in Python, MATLAB and MathematicaSome values of the Qfunction are given below for reference. H ÃÙÃâÃÛs Ô ^ & ¶ q ï q ³ ï Ù ´ ¢ Ü Z RÄ w µ Ä è µ ° A F è c¢ GU ¨  G¶ G¶ à J ¶ Z J ð s t Ø p x µ Ä è µ S t ;. (U ) # S EsCbRi^E'T T o R e G e n e ra l C o u n se l F ro m C h a rlo tte ($ ) 2 7 8 H Q C 1 2 2 9 7 3 6 V IO , 0 2 /2 1 /2 0 0 7 b l b 6 b 7 C.

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