Download PDF by Irwin Miller: John E. Freund's Mathematical Statistics with Applications

By Irwin Miller

ISBN-10: 129202500X

ISBN-13: 9781292025001

John E. Freund's Mathematical statistics with functions, 8th version, presents a calculus-based advent to the idea and alertness of statistics, according to finished assurance that displays the most recent in statistical considering, the instructing of data, and present practices. this article is suitable for a two-semester or three-quarter calculus-based direction in advent to Mathematical data. it might probably even be used for a single-semester direction emphasizing likelihood, likelihood distributions and densities, sampling, and classical statistical inference.

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Extra resources for John E. Freund's Mathematical Statistics with Applications

Example text

Since we assume that the coin is balanced, these outcomes are equally likely and we assign to each sample point the probability 14 . Letting A denote the event that we will get at least one head, we get A = {HH, HT, TH} and P(A) = P(HH) + P(HT) + P(TH) 1 1 1 + + 4 4 4 3 = 4 = 29 Probability EXAMPLE 9 A die is loaded in such a way that each odd number is twice as likely to occur as each even number. Find P(G), where G is the event that a number greater than 3 occurs on a single roll of the die. Solution The sample space is S = {1, 2, 3, 4, 5, 6}.

A hat contains 20 white slips of paper numbered from 1 through 20, 10 red slips of paper numbered from 1 through 10, 40 yellow slips of paper numbered from 1 through 40, and 10 blue slips of paper numbered from 1 through 10.

For instance, the probability of drawing a heart from an ordinary deck of 52 playing cards cannot be greater than the probability of drawing a red card. Indeed, the probability of drawing a heart is 14 , compared with 12 , the probability of drawing a red card. THEOREM 6. 0 F P(A) F 1 for any event A. Proof Using Theorem 5 and the fact that ∅ ( A ( S for any event A in S, we have P(∅) F P(A) F P(S) Then, P(∅) = 0 and P(S) = 1 leads to the result that 0 F P(A) F 1 The third postulate of probability is sometimes referred to as the special addition rule; it is special in the sense that events A1 , A2 , A3 , .

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John E. Freund's Mathematical Statistics with Applications by Irwin Miller


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