Bhisham C. Gupta - Statistics and Probability with Applications for Engineers and Scientists Using MINITAB, R and JMP

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Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists Aimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can be solved using statistical concepts. It removes Excel exhibits and replaces them with R software throughout, and updates both MINITAB and JMP software instructions and content. A new chapter discussing data mining—including big data, classification, machine learning, and visualization—is featured. Another new chapter covers cluster analysis methodologies in hierarchical, nonhierarchical, and model based clustering. The book also offers a chapter on Response Surfaces that previously appeared on the book’s companion website.
Statistics and Probability with Applications for Engineers and Scientists using MINITAB, R and JMP, Second Edition Features two new chapters—one on Data Mining and another on Cluster Analysis Now contains R exhibits including code, graphical display, and some results MINITAB and JMP have been updated to their latest versions Emphasizes the p-value approach and includes related practical interpretations Offers a more applied statistical focus, and features modified examples to better exhibit statistical concepts Supplemented with an Instructor's-only solutions manual on a book’s companion website 
is an excellent text for graduate level data science students, and engineers and scientists. It is also an ideal introduction to applied statistics and probability for undergraduate students in engineering and the natural sciences.

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3.4.2 Permutations

Suppose that we have n distinct objects Statistics and Probability with Applications for Engineers and Scientists Using MINITAB R and JMP - изображение 554. We can determine how many different sequences of x objects can be formed by choosing x objects in succession from the n objects where Statistics and Probability with Applications for Engineers and Scientists Using MINITAB R and JMP - изображение 555. For convenience, we may think of a sequence of x places that are to be filled with x objects. We have n choices of objects to fill the first place. After the first place is filled, then with картинка 556objects left, we have картинка 557choices to fill the second place. Each of the n choices for filling the first place can be combined with each of the картинка 558choices for filling the second place, thus yielding ways of filling the first two places By continuing this argument we will see - фото 559ways of filling the first two places. By continuing this argument, we will see that there are ways of filling the x places by choosing x objects from the set of n objects - фото 560ways of filling the x places by choosing x objects from the set of n objects. Each of these sequences or arrangements of x objects is called a permutation of x objects from n . The total number of permutations of x objects from n , denoted by is given by 341 Note that the number of ways of permuting all the - фото 561, is given by

(3.4.1) Note that the number of ways of permuting all the objects is given by 342 - фото 562

Note that the number of ways of permuting all the objects is given by 342 where is read as n factori - фото 563objects is given by

(3.4.2) where is read as n factorial Expressed in terms of factorials we easily find - фото 564

where is read as n factorial Expressed in terms of factorials we easily find that - фото 565is read as n factorial.

Expressed in terms of factorials, we easily find that

(3.4.3) 343 Combinations It is easy to see that if we select any set of x objects - фото 566

3.4.3 Combinations

It is easy to see that if we select any set of x objects from n , there are картинка 567ways this particular set of x objects can be permuted. In other words, there are картинка 568permutations that contain any set of x objects taken from the n objects. Any set of x objects from n distinct objects is called a combination of x objects from n objects. The number of such combinations is usually denoted by картинка 569. As each combination of each x objects can be permuted in картинка 570ways, these картинка 571combinations give rise to Statistics and Probability with Applications for Engineers and Scientists Using MINITAB R and JMP - изображение 572permutations. But this is the total number of permutations when using x objects from the n objects. Hence, Statistics and Probability with Applications for Engineers and Scientists Using MINITAB R and JMP - изображение 573, so that

(3.4.4) Example 342Applying concept of combinations The number of different - фото 574

Example 3.4.2(Applying concept of combinations) The number of different possible hands of 13 cards in a pack of 52 ordinary playing cards is the number of combinations of 13 cards from 52 cards, and from ( 3.4.4) is

Example 343Applying concept of combinations The number of samples of 10 - фото 575

Example 3.4.3(Applying concept of combinations) The number of samples of 10 objects that can be selected from a lot of 100 objects is

Example 344Determining number of combinations Suppose that we have a - фото 576

Example 3.4.4(Determining number of combinations) Suppose that we have a collection of n letters in which x are A's and картинка 577 are B's. The number of distinguishable arrangements of these n letters (x A's and картинка 578 B's) written in n places is картинка 579.

We can think of all n places filled with B's, and then select x of these places and replace the B's in them by A's. The number of such selections is картинка 580. This is equivalent to the number of ways we can arrange x A's and картинка 581B's in n places.

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