Morrisons Bluest Eye Essay: Conformity -- Bluest Eye Essays

The Bluest Eye: Conformity The basic theme of the novel, The Bluest Eye revolves around African Americans' conformity to white standards. Although beauty is the larger theme of the novel, Morrison scrutinizes the dominant white culture's influence on class levels. Morrison sets the foundation of the novel on issues of beauty in an attempt to make African Americans aware that they do not have to conform to white standards on any level. Morrison's main character, Pecola Breedlove, unquestioningly accepts the ideology that white features correlate with beauty. Yet Morrison wrote this novel at the height of the "Black Is Beautiful" era during which African Americans were being reconditioned to believe that their looks are synonymous with beauty. The novel is a retrospective story told by Claudia, one of Pecola's childhood friends. Claudia's account allows the reader to sympathize with Pecola's self-hatred. As an adult, Claudia best articulates how Pecola's victimization is caused by her environment. Telling the story almost three decades later, during the sixties, Claudia reflects on the pain of wanting to be something you can never become. According to an interview entitled "Toni Morrison's Black Magic" in Newsweek, Morrison states that Pecola's character was formed based on the fact that "Black is beautiful was in the air. . . .So I wrote about a child who was ugly-Pecola is the perfect defeated victim-only she was beautiful" (Strouse 56). Morrison's depiction of a victimized Pecola addresses how the dominance of white consumer society can effect the psyche of a young African American girl. Morrison writes the novel as a coming of age story about three elementary s... ...n life, being exposed to nicer lifestyles made them want more for themselves. The Breedloves all believe they would have attained a higher level of success, if they were born beautiful. Morrison implies that they believe success correlates with beauty. She states "As long as she [Pecola] looked the way she did, as long as she was ugly, she would have to stay with those people" (39). Do white standards of beauty put beautiful people in a higher class status? According to Morrison, the Breedloves attribute their storefront residence to the fact that "they were poor and black, and they stayed there because they believed they were ugly" (34). The Breedloves' mentality is instilled in them by their surroundings. Moving from the south to the north, African Americans' moral values changed from valuing the community and family to fetishizing material possessions.

Barn Burning-Faulkner

Nancy Wood Ms. Worthington Eng 102 Feb. 14th, 2013 Analysis Of Barn Burning-William Faulkner How is the setting in the Barn Burning southern? There are many things that prove this story is very southern and they are as follows: the use of the word N___er, reference â€Å"share cropping after the Civil War†, (The History Channel) a Nigro servant in what is plainly an Plantation like house, the father was in the war as an Confederate soldier, and several stereo typical southern references as well as the use of common southern accents.. The use of â€Å"N___er† (AFRAKA) is used multiple times in this story.It is used openly and without shame in regard to any person of color referenced in the story. This term is not as acceptable as it used to be, in reference to people of color, the term black is acceptable now in the south even though it doesn’t matter what one’s skin color is, we are in fact equal. â€Å"It is probable that n—er is a phonetic spelli ng of the white southern mispronunciation of nego† The family that is the focus of this story is sharecroppers, Landless laborers who rent land from landowners in return for a portion of their crop.The sharecropping system was developed as a way for landowners to establish a work force after the abolition of slavery in the south. To this day landowners still rent their land to the landless so that both can make a profit. Plantation houses of the classic antebellum style are indicative of the southern society before and after the civil war. The one referenced in the story is described as huge and white such as the antebellum style. It is indicated to be of the plantation by a comment by the father. â€Å"Pretty and white ain’t it, that sweat n___er sweat, maybe it ain’t white enough yet to suit him. . † (Faulkner)† The father was indicated as being in the civil war. He was supposed to have been in â€Å"colonel satoris cav’ry†(calvary). It was stated at the end of the story that the father had been a â€Å"Malbrouck† a soldier who had no loyalty to superiors flag or country and simply used the instance of war to rob and sell anything he could get his hands on for his own gain. He even named his own son Colonel Satoris Snopes in reference to his days as a soldier. As with the other stuff to prove southern tone, we have the whipper-whirl (bird which is known for a destintive call) and named for as such.Cherokee roses are growing all around the area around the landscape, they are also accept along the southern landscape as well. This story portrays southerners as uneducated at times, including words as mis-pronounicatins, such as Nigro being N___er, a final indenication is that people with that background of education, well all was a true miscommunication at the times. The main character’s sister showed the most misuncomprohensable remark as a† remark of ignorce. † (Faulkner) As one that live or have lived in that time, I am sure our predessors have been greatly improve on their attitudes and their beliefs.As I would not have approved of all of this except I wasn’t alive at the time. With the exception of great, great, great grand-parents that wouldn’t have seen it from my eyes. Bibliography AFRAKA. n. d. 13 Feb. 2013 . Faulkner, William. Barn Burning. Harpers, 1939. The History Channel. n. d. 13 Feb. 2013 . Works Cited AFRAKA. n. d. 13 Feb. 2013 . Faulkner, William. Barn Burning. Harpers, 1939. The History Channel. n. d. 13 Feb. 2013 .

Bukidnon Deer Park and Wildlife Center Reaction Paper Essay

On August 26, 2012 I visited the Bukidnon Deer Park and Wildlife Center located at San Miguel, Maramag, Bukidnon. The purpose of the trip was to look at some fascinating wild animals that live from different parts of the world and to learn more about them. The first animals I visited were the mammals. Mammals are class of warm-blooded vertebrate animals that have, in the female, milk-secreting organs for feeding the young. The animals available at the park that represents this class were the Long-tailed Macaques (Macaca fascicularis), Palawan Bear Cat (Arctictus binturong), Common Palm Civet (Paradoxuros hermaphrodites), Balabac Mouse Deer (Tragulus nigricans), Leopard Cat (Pronailarus bengalensis), Philippine Mouse Deer (Cervus marianus), and lastly the Wild Pig (Sus philippinensis). After we have visited the mammals we then go straight to the Aves. But on the way to the Aves we came along to pass by the Japanese Koi (Cyprinus carpio). These are carps with red-gold or white coloring, kept as an aquarium or ornamental pond fish, native in Japan. They were so fun to watch. Finally we arrive where the Aves are caged. Aves are two-legged, warm-blooded animals with wings, a beak, and body covered with feathers. These animals lay eggs from which their young hatch, and most of the species can fly. The animals available at the park that represents this class were the Philippine Serpent Eagle (Spilornis holospilus), Brahminy Kite (Haliastur indicus), Single-wattled Cassowary (Casuarius unappendiculatus), Dwarf Cassowary (Cassuarius bennetti), Indian Blue Peafowl (Pavo cristatus), Indian Ringneck Parakeet (Psittacula krameri), Blue-naped Parrot (Tanygnathus lucionensis), Pied Imperial Pigoen (Ducula bicolor), Nicobar Pigeon (Caleonas nicobarica), Golden Pheasant (Chrysolophus pictus), Spotted Imperial Pigeon (Ducula carola), Lady Amherst Pheasant (Chrysolophus amherstiae), Blacked-chinned Fruit Dove (Ptilinopus leclancheri), True Silver Pheasant (Lophura nycthemera), Mindanao Rofous Hornbill (Buceros hydrocorax mindanensis), Visayan Hornbill (Penelopide panini ), and lastly the African Ostrich (Struthio camelius) which I liked the most because of its beautiful eyes and long eyelashes. Ostrich is also the largest and fastest living bird. It is a two-toed fast-running bird with a long bare neck, small head, and fluffy dropping feathers. But sad to say, it cannot fly. The third and last animal I visited were the reptiles. Reptiles are animals with tough, dry skin covered with horny scales. Reptiles are vertebrates – animals with backbone. They share characteristics common to other vertebrates – fish, amphibians, birds, and mammals. But reptiles display a unique combination of characteristics that distinguishes them from other vertebrates. Like amphibians, modern reptiles are cold-blooded, or ectothermic. This means that they are unable to produce their own body heat, so they rely on the sun for body warmth, and much of their behavior is directed toward regulating their body temperature. Some of the most widespread living reptiles are turtles, lizards, snakes, crocodiles, and alligators. The park only exhibit crocodiles among the class reptilian. They have the Saltwater Crocodile (Crocodylus porosus), and the Philippine Crocodile (Crocodylus mindorensis). The Bukidnon Deer Park and Wildlife Center helped for the maintenance of these wild animals that are near to endangerment and they also hatch eggs and do breeding for these animals to survive in this cruel world. This is very important so that our next generation can still see this wonderful creatures and gain knowledge at them.

Ch8 Test Bank

b. The probability for any individual value of a continuous random variable is zero, but for discrete random variables it is not. c. Probability for continuous random variables means finding the area under a curve, while for discrete random variables it means summing individual probabilities. d. All of these choices are true. ANS:DPTS:1REF:SECTION 8. 1 2. Which of the following is always true for all probability density functions of continuous random variables? a. The probability at any single point is zero. b. They contain an uncountable number of possible values. c. The total area under the density function f(x) equals 1. d. All of these choices are true. ANS:DPTS:1REF:SECTION 8. 1 3. Suppose f(x) = 0. 25. What range of possible values can X take on and still have the density function be legitimate? a. [0, 4] b. [4, 8] c. [? 2, +2] d. All of these choices are true. ANS:DPTS:1REF:SECTION 8. 1 4. The probability density function, f(x), for any continuous random variable X, represents: a. ll possible values that X will assume within some interval a ? x ? b. b. the probability that X takes on a specific value x. c. the height of the density function at x. d. None of these choices. ANS:CPTS:1REF:SECTION 8. 1 5. Which of the following is true about f(x) when X has a uniform distribution over the interval [a, b]? a. The values of f(x) are different for various values of the random variable X. b. f(x) equals one for each possible value of X. c. f(x) equals one divided by the length of the interval from a to b. d. None of these choices. ANS:CPTS:1REF:SECTION 8. 1 6. The probability density function f(x) for a uniform random variable X defined over the interval [2, 10] is a. 0. 125 b. 8 c. 6 d. None of these choices. ANS:APTS:1REF:SECTION 8. 1 7. If the random variable X has a uniform distribution between 40 and 50, then P(35 ? X ? 45) is: a. 1. 0 b. 0. 5 c. 0. 1 d. undefined. ANS:BPTS:1REF:SECTION 8. 1 8. The probability density function f(x) of a random variable X that has a uniform distribution between a and b is a. (b + a)/2 b. 1/b ? 1/a c. (a ? b)/2 d. None of these choices. ANS:DPTS:1REF:SECTION 8. 1 9. Which of the following does not represent a continuous uniform random variable? . f(x) = 1/2 for x between ? 1 and 1, inclusive. b. f(x) = 10 for x between 0 and 1/10, inclusive. c. f(x) = 1/3 for x = 4, 5, 6. d. None of these choices represents a continuous uniform random variable. ANS:CPTS:1REF:SECTION 8. 1 10. Suppose f(x) = 1/4 over the range a ? x ? b, and suppose P(X 4) = 1/2. What are the values for a and b? a. 0 and 4 b. 2 and 6 c. Can be any range of x values whose length (b ? a) equals 4. d. Cannot answer with the information given. ANS:BPTS:1REF:SECTION 8. 1 11. What is the shape of the probability density function for a uniform random variable on the interval [a, b]? a. A rectangle whose X values go from a to b. b. A straight line whose height is 1/(b ? a) over the range [a, b]. c. A continuous probability density function with the same value of f(x) from a to b. d. All of these choices are true. ANS:DPTS:1REF:SECTION 8. 1 TRUE/FALSE 12. A continuous probability distribution represents a random variable having an infinite number of outcomes which may assume any number of values within an interval. ANS:TPTS:1REF:SECTION 8. 1 13. Continuous probability distributions describe probabilities associated with random variables that are able to assume any finite number of values along an interval. ANS:FPTS:1REF:SECTION 8. 1 14. A continuous random variable is one that can assume an uncountable number of values. ANS:TPTS:1REF:SECTION 8. 1 15. Since there is an infinite number of values a continuous random variable can assume, the probability of each individual value is virtually 0. ANS:TPTS:1REF:SECTION 8. 1 16. A continuous random variable X has a uniform distribution between 10 and 20 (inclusive), then the probability that X falls between 12 and 15 is 0. 30. ANS:TPTS:1REF:SECTION 8. 1 17. A continuous random variable X has a uniform distribution between 5 and 15 (inclusive), then the probability that X falls between 10 and 20 is 1. . ANS:FPTS:1REF:SECTION 8. 1 18. A continuous random variable X has a uniform distribution between 5 and 25 (inclusive), then P(X = 15) = 0. 05. ANS:FPTS:1REF:SECTION 8. 1 19. We distinguish between discrete and continuous random variables by noting whether the number of possible values is countable or uncountable. ANS:TPTS:1REF:SECTION 8. 1 20. In practice, we frequently use a continuous distribution to approximate a discrete one when the number of values the variable can assume is countable but very large. ANS:TPTS:1REF:SECTION 8. 1 21. Let X represent weekly income expressed in dollars. Since there is no set upper limit, we cannot identify (and thus cannot count) all the possible values. Consequently, weekly income is regarded as a continuous random variable. ANS:TPTS:1REF:SECTION 8. 1 22. To be a legitimate probability density function, all possible values of f(x) must be non-negative. ANS:TPTS:1REF:SECTION 8. 1 23. To be a legitimate probability density function, all possible values of f(x) must lie between 0 and 1 (inclusive). ANS:FPTS:1REF:SECTION 8. 1 24. The sum of all values of f(x) over the range of [a, b] must equal one. ANS:FPTS:1REF:SECTION 8. 1 25. A probability density function shows the probability for each value of X. ANS:FPTS:1REF:SECTION 8. 1 26. If X is a continuous random variable on the interval [0, 10], then P(X 5) = P(X ? 5). ANS:TPTS:1REF:SECTION 8. 1 27. If X is a continuous random variable on the interval [0, 10], then P(X = 5) = f(5) = 1/10. ANS:FPTS:1REF:SECTION 8. 1 28. If a point y lies outside the range of the possible values of a random variable X, then f(y) must equal zero. ANS:TPTS:1REF:SECTION 8. 1 COMPLETION 29. A(n) ____________________ random variable is one that assumes an uncountable number of possible values. ANS:continuous PTS:1REF:SECTION 8. 1 30. For a continuous random variable, the probability for each individual value of X is ____________________. ANS: zero 0 PTS:1REF:SECTION 8. 1 31. Probability for continuous random variables is found by finding the ____________________ under a curve. ANS:area PTS:1REF:SECTION 8. 1 32. A(n) ____________________ random variable has a density function that looks like a rectangle and you can use areas of a rectangle to find probabilities for it. ANS:uniform PTS:1REF:SECTION 8. 1 33. Suppose X is a continuous random variable for X between a and b. Then its probability ____________________ function must non-negative for all values of X between a and b. ANS:density PTS:1REF:SECTION 8. 1 34. The total area under f(x) for a continuous random variable must equal ____________________. ANS: 1 one PTS:1REF:SECTION 8. 1 35. The probability density function of a uniform random variable on the interval [0, 5] must be ____________________ for 0 ? x ? 5. ANS: 1/5 0. 20 PTS:1REF:SECTION 8. 1 36. To find the probability for a uniform random variable you take the ____________________ times the ____________________ of its corresponding rectangle. ANS: base; height height; base length; width width; length PTS:1REF:SECTION 8. 1 37. You can use a continuous random variable to ____________________ a discrete random variable that takes on a countable, but very large, number of possible values. ANS:approximate PTS:1REF:SECTION 8. 1 SHORT ANSWER 38. A continuous random variable X has the following probability density function: f(x) = 1/4, 0 ? x ? 4 Find the following probabilities: a. P(X ? 1) b. P(X ? 2) c. P(1 ? X ? 2) d. P(X = 3) ANS: a. 0. 25 b. 0. 50 c. 0. 25 d. 0 PTS:1REF:SECTION 8. 1 Waiting Time The length of time patients must wait to see a doctor at an emergency room in a large hospital has a uniform distribution between 40 minutes and 3 hours. 39. {Waiting Time Narrative} What is the probability density function for this uniform distribution? ANS: f(x) = 1/140, 40 ? x ? 180 (minutes) PTS:1REF:SECTION 8. 1 40. {Waiting Time Narrative} What is the probability that a patient would have to wait between one and two hours? ANS: 0. 43 PTS:1REF:SECTION 8. 1 41. {Waiting Time Narrative} What is the probability that a patient would have to wait exactly one hour? ANS: 0 PTS:1REF:SECTION 8. 1 42. {Waiting Time Narrative} What is the probability that a patient would have to wait no more than one hour? ANS: 0. 143 PTS:1REF:SECTION 8. 1 43. The time required to complete a particular assembly operation has a uniform distribution between 25 and 50 minutes. a. What is the probability density function for this uniform distribution? b. What is the probability that the assembly operation will require more than 40 minutes to complete? c. Suppose more time was allowed to complete the operation, and the values of X were extended to the range from 25 to 60 minutes. What would f(x) be in this case? ANS: a. f(x) = 1/25, 25 ? x ? 50 b. 0. 40 c. f(x) = 1/35, 25 ? x ? 60 PTS:1REF:SECTION 8. 1 44. Suppose f(x) equals 1/50 on the interval [0, 50]. a. What is the distribution of X? b. What does the graph of f(x) look like? c. Find P(X ? 25) d. Find P(X ? 25) e. Find P(X = 25) f. Find P(0 X 3) g. Find P(? 3 X 0) h. Find P(0 X 50) ANS: a. X has a uniform distribution on the interval [0, 50]. b. f(x) forms a rectangle of height 1/50 from x = 0 to x = 50. c. 0. 50 d. 0. 50 e. 0 f. 0. 06 g. 0. 06 h. 1. 00 PTS:1REF:SECTION 8. 1 Chemistry Test The time it takes a student to finish a chemistry test has a uniform distribution between 50 and 70 minutes. 45. {Chemistry Test Narrative} What is the probability density function for this uniform distribution? ANS: f(x) = 1/20, 50 ? x ? 70 PTS:1REF:SECTION 8. 1 46. {Chemistry Test Narrative} Find the probability that a student will take more than 60 minutes to finish the test. ANS: 0. 50 PTS:1REF:SECTION 8. 1 47. {Chemistry Test Narrative} Find the probability that a student will take no less than 55 minutes to finish the test. ANS: 0. 75 PTS:1REF:SECTION 8. 1 48. {Chemistry Test Narrative} Find the probability that a student will take exactly one hour to finish the test. ANS: 0 PTS:1REF:SECTION 8. 1 49. {Chemistry Test Narrative} What is the median amount of time it takes a student to finish the test? ANS: 60 minutes PTS:1REF:SECTION 8. 1 50. {Chemistry Test Narrative} What is the mean amount of time it takes a student to finish the test? ANS: 60 minutes PTS:1REF:SECTION 8. 1 Elevator Waiting Time In a shopping mall the waiting time for an elevator is found to be uniformly distributed between 1 and 5 minutes. 1. {Elevator Waiting Time Narrative} What is the probability density function for this uniform distribution? ANS: f(x) = 1/4, 1 ? x ? 5 PTS:1REF:SECTION 8. 1 52. {Elevator Waiting Time Narrative} What is the probability of waiting no more than 3 minutes? ANS: 0. 50 PTS:1REF:SECTION 8. 1 53. {Elevator Waiting Time Narrative} What is the probability that the elevator arrives in the first minute and a half? ANS: 0. 125 PTS:1REF:SECTION 8. 1 54. {Elevator Waiting Time Narrative} What is the median waiting time for this elevator? ANS: 3 minutes PTS:1REF:SECTION 8. 1 Ch8 Test Bank b. The probability for any individual value of a continuous random variable is zero, but for discrete random variables it is not. c. Probability for continuous random variables means finding the area under a curve, while for discrete random variables it means summing individual probabilities. d. All of these choices are true. ANS:DPTS:1REF:SECTION 8. 1 2. Which of the following is always true for all probability density functions of continuous random variables? a. The probability at any single point is zero. b. They contain an uncountable number of possible values. c. The total area under the density function f(x) equals 1. d. All of these choices are true. ANS:DPTS:1REF:SECTION 8. 1 3. Suppose f(x) = 0. 25. What range of possible values can X take on and still have the density function be legitimate? a. [0, 4] b. [4, 8] c. [? 2, +2] d. All of these choices are true. ANS:DPTS:1REF:SECTION 8. 1 4. The probability density function, f(x), for any continuous random variable X, represents: a. ll possible values that X will assume within some interval a ? x ? b. b. the probability that X takes on a specific value x. c. the height of the density function at x. d. None of these choices. ANS:CPTS:1REF:SECTION 8. 1 5. Which of the following is true about f(x) when X has a uniform distribution over the interval [a, b]? a. The values of f(x) are different for various values of the random variable X. b. f(x) equals one for each possible value of X. c. f(x) equals one divided by the length of the interval from a to b. d. None of these choices. ANS:CPTS:1REF:SECTION 8. 1 6. The probability density function f(x) for a uniform random variable X defined over the interval [2, 10] is a. 0. 125 b. 8 c. 6 d. None of these choices. ANS:APTS:1REF:SECTION 8. 1 7. If the random variable X has a uniform distribution between 40 and 50, then P(35 ? X ? 45) is: a. 1. 0 b. 0. 5 c. 0. 1 d. undefined. ANS:BPTS:1REF:SECTION 8. 1 8. The probability density function f(x) of a random variable X that has a uniform distribution between a and b is a. (b + a)/2 b. 1/b ? 1/a c. (a ? b)/2 d. None of these choices. ANS:DPTS:1REF:SECTION 8. 1 9. Which of the following does not represent a continuous uniform random variable? . f(x) = 1/2 for x between ? 1 and 1, inclusive. b. f(x) = 10 for x between 0 and 1/10, inclusive. c. f(x) = 1/3 for x = 4, 5, 6. d. None of these choices represents a continuous uniform random variable. ANS:CPTS:1REF:SECTION 8. 1 10. Suppose f(x) = 1/4 over the range a ? x ? b, and suppose P(X 4) = 1/2. What are the values for a and b? a. 0 and 4 b. 2 and 6 c. Can be any range of x values whose length (b ? a) equals 4. d. Cannot answer with the information given. ANS:BPTS:1REF:SECTION 8. 1 11. What is the shape of the probability density function for a uniform random variable on the interval [a, b]? a. A rectangle whose X values go from a to b. b. A straight line whose height is 1/(b ? a) over the range [a, b]. c. A continuous probability density function with the same value of f(x) from a to b. d. All of these choices are true. ANS:DPTS:1REF:SECTION 8. 1 TRUE/FALSE 12. A continuous probability distribution represents a random variable having an infinite number of outcomes which may assume any number of values within an interval. ANS:TPTS:1REF:SECTION 8. 1 13. Continuous probability distributions describe probabilities associated with random variables that are able to assume any finite number of values along an interval. ANS:FPTS:1REF:SECTION 8. 1 14. A continuous random variable is one that can assume an uncountable number of values. ANS:TPTS:1REF:SECTION 8. 1 15. Since there is an infinite number of values a continuous random variable can assume, the probability of each individual value is virtually 0. ANS:TPTS:1REF:SECTION 8. 1 16. A continuous random variable X has a uniform distribution between 10 and 20 (inclusive), then the probability that X falls between 12 and 15 is 0. 30. ANS:TPTS:1REF:SECTION 8. 1 17. A continuous random variable X has a uniform distribution between 5 and 15 (inclusive), then the probability that X falls between 10 and 20 is 1. . ANS:FPTS:1REF:SECTION 8. 1 18. A continuous random variable X has a uniform distribution between 5 and 25 (inclusive), then P(X = 15) = 0. 05. ANS:FPTS:1REF:SECTION 8. 1 19. We distinguish between discrete and continuous random variables by noting whether the number of possible values is countable or uncountable. ANS:TPTS:1REF:SECTION 8. 1 20. In practice, we frequently use a continuous distribution to approximate a discrete one when the number of values the variable can assume is countable but very large. ANS:TPTS:1REF:SECTION 8. 1 21. Let X represent weekly income expressed in dollars. Since there is no set upper limit, we cannot identify (and thus cannot count) all the possible values. Consequently, weekly income is regarded as a continuous random variable. ANS:TPTS:1REF:SECTION 8. 1 22. To be a legitimate probability density function, all possible values of f(x) must be non-negative. ANS:TPTS:1REF:SECTION 8. 1 23. To be a legitimate probability density function, all possible values of f(x) must lie between 0 and 1 (inclusive). ANS:FPTS:1REF:SECTION 8. 1 24. The sum of all values of f(x) over the range of [a, b] must equal one. ANS:FPTS:1REF:SECTION 8. 1 25. A probability density function shows the probability for each value of X. ANS:FPTS:1REF:SECTION 8. 1 26. If X is a continuous random variable on the interval [0, 10], then P(X 5) = P(X ? 5). ANS:TPTS:1REF:SECTION 8. 1 27. If X is a continuous random variable on the interval [0, 10], then P(X = 5) = f(5) = 1/10. ANS:FPTS:1REF:SECTION 8. 1 28. If a point y lies outside the range of the possible values of a random variable X, then f(y) must equal zero. ANS:TPTS:1REF:SECTION 8. 1 COMPLETION 29. A(n) ____________________ random variable is one that assumes an uncountable number of possible values. ANS:continuous PTS:1REF:SECTION 8. 1 30. For a continuous random variable, the probability for each individual value of X is ____________________. ANS: zero 0 PTS:1REF:SECTION 8. 1 31. Probability for continuous random variables is found by finding the ____________________ under a curve. ANS:area PTS:1REF:SECTION 8. 1 32. A(n) ____________________ random variable has a density function that looks like a rectangle and you can use areas of a rectangle to find probabilities for it. ANS:uniform PTS:1REF:SECTION 8. 1 33. Suppose X is a continuous random variable for X between a and b. Then its probability ____________________ function must non-negative for all values of X between a and b. ANS:density PTS:1REF:SECTION 8. 1 34. The total area under f(x) for a continuous random variable must equal ____________________. ANS: 1 one PTS:1REF:SECTION 8. 1 35. The probability density function of a uniform random variable on the interval [0, 5] must be ____________________ for 0 ? x ? 5. ANS: 1/5 0. 20 PTS:1REF:SECTION 8. 1 36. To find the probability for a uniform random variable you take the ____________________ times the ____________________ of its corresponding rectangle. ANS: base; height height; base length; width width; length PTS:1REF:SECTION 8. 1 37. You can use a continuous random variable to ____________________ a discrete random variable that takes on a countable, but very large, number of possible values. ANS:approximate PTS:1REF:SECTION 8. 1 SHORT ANSWER 38. A continuous random variable X has the following probability density function: f(x) = 1/4, 0 ? x ? 4 Find the following probabilities: a. P(X ? 1) b. P(X ? 2) c. P(1 ? X ? 2) d. P(X = 3) ANS: a. 0. 25 b. 0. 50 c. 0. 25 d. 0 PTS:1REF:SECTION 8. 1 Waiting Time The length of time patients must wait to see a doctor at an emergency room in a large hospital has a uniform distribution between 40 minutes and 3 hours. 39. {Waiting Time Narrative} What is the probability density function for this uniform distribution? ANS: f(x) = 1/140, 40 ? x ? 180 (minutes) PTS:1REF:SECTION 8. 1 40. {Waiting Time Narrative} What is the probability that a patient would have to wait between one and two hours? ANS: 0. 43 PTS:1REF:SECTION 8. 1 41. {Waiting Time Narrative} What is the probability that a patient would have to wait exactly one hour? ANS: 0 PTS:1REF:SECTION 8. 1 42. {Waiting Time Narrative} What is the probability that a patient would have to wait no more than one hour? ANS: 0. 143 PTS:1REF:SECTION 8. 1 43. The time required to complete a particular assembly operation has a uniform distribution between 25 and 50 minutes. a. What is the probability density function for this uniform distribution? b. What is the probability that the assembly operation will require more than 40 minutes to complete? c. Suppose more time was allowed to complete the operation, and the values of X were extended to the range from 25 to 60 minutes. What would f(x) be in this case? ANS: a. f(x) = 1/25, 25 ? x ? 50 b. 0. 40 c. f(x) = 1/35, 25 ? x ? 60 PTS:1REF:SECTION 8. 1 44. Suppose f(x) equals 1/50 on the interval [0, 50]. a. What is the distribution of X? b. What does the graph of f(x) look like? c. Find P(X ? 25) d. Find P(X ? 25) e. Find P(X = 25) f. Find P(0 X 3) g. Find P(? 3 X 0) h. Find P(0 X 50) ANS: a. X has a uniform distribution on the interval [0, 50]. b. f(x) forms a rectangle of height 1/50 from x = 0 to x = 50. c. 0. 50 d. 0. 50 e. 0 f. 0. 06 g. 0. 06 h. 1. 00 PTS:1REF:SECTION 8. 1 Chemistry Test The time it takes a student to finish a chemistry test has a uniform distribution between 50 and 70 minutes. 45. {Chemistry Test Narrative} What is the probability density function for this uniform distribution? ANS: f(x) = 1/20, 50 ? x ? 70 PTS:1REF:SECTION 8. 1 46. {Chemistry Test Narrative} Find the probability that a student will take more than 60 minutes to finish the test. ANS: 0. 50 PTS:1REF:SECTION 8. 1 47. {Chemistry Test Narrative} Find the probability that a student will take no less than 55 minutes to finish the test. ANS: 0. 75 PTS:1REF:SECTION 8. 1 48. {Chemistry Test Narrative} Find the probability that a student will take exactly one hour to finish the test. ANS: 0 PTS:1REF:SECTION 8. 1 49. {Chemistry Test Narrative} What is the median amount of time it takes a student to finish the test? ANS: 60 minutes PTS:1REF:SECTION 8. 1 50. {Chemistry Test Narrative} What is the mean amount of time it takes a student to finish the test? ANS: 60 minutes PTS:1REF:SECTION 8. 1 Elevator Waiting Time In a shopping mall the waiting time for an elevator is found to be uniformly distributed between 1 and 5 minutes. 1. {Elevator Waiting Time Narrative} What is the probability density function for this uniform distribution? ANS: f(x) = 1/4, 1 ? x ? 5 PTS:1REF:SECTION 8. 1 52. {Elevator Waiting Time Narrative} What is the probability of waiting no more than 3 minutes? ANS: 0. 50 PTS:1REF:SECTION 8. 1 53. {Elevator Waiting Time Narrative} What is the probability that the elevator arrives in the first minute and a half? ANS: 0. 125 PTS:1REF:SECTION 8. 1 54. {Elevator Waiting Time Narrative} What is the median waiting time for this elevator? ANS: 3 minutes PTS:1REF:SECTION 8. 1

What main aspects and impacts of the Thirty-Years-War are reflected in Assignment

What main aspects and impacts of the Thirty-Years-War are reflected in Grimmelshausen's Adventures of Simplicius Simplicissimus - Assignment Example novel written in satirical style Grimmelshausen depicted decline and collapse of his country’s population and peasants suffering from the cruel war. He wanted to show the peasants’ protest against injustice, lack of food, taxation, social and religious intolerance, and violence. The fact that Simplicissimus is full of progressive political argumentation shows that Grimmelshausen very well informed about politics and details of the war. As a person who participated in the war he described the events and draw small details very precisely. The novel is worth-reading and historically valuable. In spite of the fact that the author chooses no concrete heroes as protagonists, Simplicissimus, who is considered to be the main character of the book, tells the story of an innocent child who got experience in The Thirty-Years-War. In general he tells the life stories of people who participate in the war and should fight in order to survive, but in the end they are either physically injured or mentally traumatized. The book was written under the horrific impressions of the Thirty-Years-War and as it contains a lot of facts from the author’s life, it is considered to be an autobiographic novel. Simplicius tries to correct mishaps of the world and in the funny way tells the truth about all evils. After lots of misfortunes he decides to settle on an uninhabited island. He undergoes different stages of life (military service, triumph, wealth, disease, travels etc.), but finally, the character withdraws from the world. Like the author Simplicius was separated from his family and had to do a military service. The place of birth (Hanau), the siege of Magdeburg, the exploits in Westphalia correspond to the facts from Grimmelshausen’s life. All the events, which are documentary ones, have appropriate chronological order, because imaginary events are well documented. Thus, â€Å"Adventures of Simplicius Simplicissimus† is a great document in German literature, which presents

HCL gas detection by using manual air sampling pump Lab Report

HCL gas detection by using manual air sampling pump - Lab Report Example This, thus imply that, the Gas Detection Tubes were adopted in testing of more than 130 hazardous gases and vapors. Some of The such gases include Ammonia, Chlorine, Carbon monoxide, Bromonzene, formaldehyde, Hydrogen sulfide, Nitrous fumes, Hydrogen peroxide, Hexane, Hydrogen chloride, Sulfur dioxide, Nitrogen dioxide, phosphine among others (Bamberger, 1988). The detector tubes are the flame sealed glass made tubes that contain treated adsorbent granules that often react specific compounds thereby causing the given adsorbent to change its color. When in use, a sample is first collected through the process of attaching the detector tube onto some special bellows-type pump, which takes up a given known volume of air during each stroke. This is followed by measuring the length of the adsorbent bed, which would have undergone the color change. In this method, a gas sample is pulled through the glass tube with a reagent and a reaction between the solid reagent and the gas forming a char acteristic color that is quite irritating odor. Although not considered as a combustible gas, it may react and form combustible compounds when it is in contact with hydrogen cyanide and alcohol or with aluminum-titanium alloys. Dissolving Hydrogen Chloride gas in water yields a strong highly corrosive acid, HCL. It is for this reason that HCl gas is a strong irritant to the nose, eyes, and upper respiratory tract. HCL levels of 35 ppm can cause irritation to the throat even within a very short period of time. The manual sampling pump is a springless design for accurate 50 and 100 cc sample volumes pump. The flow finish indicator signals the stroke completion and build in tube tip breaker for a clean break every time. The hand operated precision piston works with the RAE System gas detection tubes (Bamberger, 1988). The features flow –finish indicator is used to signal stroke completion,

When Friend Forgets to Pay Back Loans Personal Statement

When Friend Forgets to Pay Back Loans - Personal Statement Example This is true, and such situations need to be handled with care. If a friend of mine does not repay the loan, I will have no option but to confront him in a peaceful and amicable manner. Firstly, I would arrange for the both of us to have an open talk. A friendly and confiding talk can bridge the gap that the unpaid loan has brought in. Next, I would ask him for the reason that had prevented him form keeping up his word. I shall help him take me into confidence and confide in me about his position or circumstance. By treating him with courtesy and not intending to spoil our friendship, I would also talk to him openly about my dilemma. The fact that I am in a financial crunch and in bad need of the sum would be explained to him in a very amicable manner. Next, I would go no to tell him that if not for this crunch, I wouldn't have been hell-bent and too strict with the dates of repayment. I would politely but strictly tell him to repay it within a week at the maximum.