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Condition |
free/or 0.5$ |
| 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 |
| m384 | Determine the probability of accepting lots that are 10%, 20%, 30%, and 40% defective using a sample of size 12 and an acceptance number of 2. |
buy |
| m385 | Develop a trend equation for the net sales ($ million) for Home Depot. Consider both a linear trend and a nonlinear trend. Which one would you select and why? Given the trend equation you selected, forecast the net sales for 2014 and2015. |
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| m386 | Did you ever purchase a bag of M&M’s candies and wonder about the distribution of colors? You can go to the website www.baking.m-ms.com and click the United States on the map, then click About M&M’s, then Products and Peanut, and find the percentage breakdown according to the manufacturer, as well as a brief history of the product. Did you know in the beginning they were all brown? For peanut M&M’s, 12% are brown, 15% yellow, 12% red, 23% blue, 23% orange, and 15% green. A 6-oz. bag purchased at the Book Store at Coastal Carolina University had 14 brown, 13 yellow, 14 red, 12 blue, 7 orange, and 12 green. Is it reasonable to conclude that the actual distribution agrees with the expected distribution? Use the .05 significance level. Conduct your own trial. Be sure to share with yourinstructor. |
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| m387 | A digital scale is used that provides weights to the nearest gram. (a) What is the sample space for this experiment? Let A denote the event that a weight exceeds 11 grams, let B denote the event that a weight is less than or equal to 15 grams, and let C denote the event that a weight is greater than or equal to 8 grams and less than 12 grams. Describe the following events. |
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| m388 | A disk drive manufacturer estimates that in five years a storage device with 1 terabyte of capacity will sell with probability 0.5, a storage device with 500 gigabytes capacity will sell with a probability 0.3, and a storage device with 100 gigabytes capacity will sell with probability 0.2. The revenue associated with the sales in that year are estimated to be $50 million, $25 million, and $10 million, respectively. Let X be the revenue of storage devices during that year. Determine the probability mass function of X. |
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