№ |
Condition |
free/or 0.5$ |
m364 | Determine the cumulative distribution function for the random variable in Exercise 3-22. |
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m365 | Determine the cumulative distribution function of a binomial random variable with n = 3 and p = ½. |
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m366 | Determine the cumulative distribution function for X in Exercise 3-88. |
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m367 | Determine the cumulative distribution function for the random variable in Exercise 3-15; also determine the following probabilities:
(a) P(X < 1.25)
(b) P (X < 2.2)
(c) P (-1.1 < X < 1)
(d) P (X > 0) |
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m368 | Determine the cumulative distribution function of the random variable in Exercise 3-13. |
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m369 | Determine the cumulative distribution function for the random variable in Exercise 3-19. |
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m370 | Determine the cumulative distribution function for the random variable in Exercise 3-17; also determine the following probabilities:
(a) P(X < 1.5)
(b) P (X < 3)
(c) P (X > 2)
(d) P (1 < X < 2) |
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m371 | Determine the cumulative distribution function for the variable in Exercise 3-23. Verify that the following functions are cumulative distribution functions, and determine the probability mass function and the requested probabilities. |
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m372 | Determine the cumulative distribution function of a binomial random variable with n = 3 and p = ¼ |
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m373 | Determine the mean and variance of the random variable in Exercise 3-13. |
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m374 | Determine the mean and variance of the random variable in Exercise 3-17. |
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m375 | Determine the mean and variance of the random variable in Exercise 3-19. |
buy |
m376 | Determine the mean and variance of the random variable in Exercise 3-23. |
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m377 | Determine the mean and variance of the random variable in Exercise 3-15. |
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m378 | Determine the mean and variance of the random variable in Exercise 3-20 |
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m379 | Determine the mean and variance of the random variable in Exercise 3-22. |
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m380 | Determine the median and the first and third quartiles in the followingdata. |
buy |
m381 | Determine the median and the first and third quartiles in the followingdata. |
buy |
m382 | Determine the probability mass function for the random variable with the following cumulative distribution function |
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m383 | Determine the probability of accepting lots that are 10%, 20%, 30%, and 40% defective using a sample of size 14 and an acceptance number of 3. |
buy |