Emerging Trends in E-Commerce Essay Example

Emerging Trends in E Emerging Trends in E-Commerce Essay Emerging Trends in E-Commerce Essay 1. Micro-payments – Among the most radical alterations in the coming months- not years- is the usage of micro-payment systems from a assortment of fiscal houses. e. g. . Paypal. Visa. WesternUnion. among others. including Bankss. This tendency is facilitated by the W3C working group that approved these protocols and proficient criterions for the interworking. These systems will alter non merely how we carry money but how we value money and believe about purchases. ( See how a purchase of $ 4. 99 feels in a nomadic app shop vs. at Dunkin’ Donuts. ) Payment systems that make it easier to purchase online. coupled with nomadic engineerings will speed up the use of planetary e-commerce applications. 2. Mobile technologies – More people entree the Internet on their Mobile devices than on any other device. We are quickly nearing the clip ( if we are non already at that place ) where designs must be created for the nomadic Web foremost. and for the desktop second. Mobile engineerings facilitate comparing shopping ; with the coming of barcode reader apps and price-comparison databases. a consumer could snarl a saloon codification in Walmart and rapidly cite merchandise reappraisals and monetary values on walmart. com ( or compare monetary values with Walmart rivals ) . Mobile engineerings besides facilitate impulse bargains – particularly with the coming of micro-payments tied to the nomadic device. Just late. Starbucks clients can non merely put an order with their Smartphone. but besides make a purchase. 3. Social media – As Facebook has become the most visited site on the Web. the function of societal media. including Facebook and its local ringers such as Twitter. is progressively of import. Social media sites progressively act as points of entry to e-commerce sites. and frailty versa. as e-commerce sites build evaluation. trueness and referral systems tied to societal media. Group purchasing ( e. g. . Groupon ) is besides deriving mainstream land. with many deal of the day sites viing for an progressively savvy consumer base. but betterments lie in front as the societal facets and user experience are refined. 4. Fulfillment options – I believe that users will desire to hold multiple fulfilments and return options when interacting with a seller: ship to turn to. courier. pick-up in shop. return to hive away. etc. Having many fulfilment options is how clients view their overall client experience. Some companies have made a concern proposition online by being exceeding in service to the on-line channel ( e. g. . Zappos ) . 5. Global handiness – Increasingly. consumers want the handiness to purchase merchandises from foreign sites and have them delivered locally. Thus. currency and imposts will be of turning concern to many on-line retail merchants. Along with this. there will be concerns with local privateness Torahs and limitations on related informations aggregation and storage. 6. Localization – While the tendency is to globalise. what’s frequently more of import is to place. User Centric’s research clearly shows that sites that feel’ local – with proper imagination. linguistic communication. time/date. weights/measures. currency. etc. – resonate far more than sites that seem culturally distant or unfertile. 7. Customizability – Consumers want control. and want to be able to plan the inside informations of the points they purchase. 8. Time-based handiness – Some of the hottest and most successful sites are those that have a time-critical response constituent. Sites like Groupon. Gilt and others capitalize on the perceptual experience of limited-time handiness. Making a sense of urgency thrusts traffic and purchase behaviour.

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

Marketing Across Cultures Essay Example | Topics and Well Written Essays - 2000 words

Marketing Across Cultures - Essay Example With this manipulation of elements, a firm can achieve its objectives in the market that it targets. The elements of the marketing mix are â€Å"product, price, promotion, and place, also referred to as the four Ps† (Bennet, pp. 44, 2009). The firm does not manipulate all of these elements to a significant degree every time it is marketing across cultures. However, the selections of elements, which require manipulation, are only possible in the light of the characteristics of the culture. For this reason, examples, such as the ones stated below, can help to elaborate this fact. The management of the marketing effort is also highly affected by the differences in the cultures of the firm's different target markets. The four functions of the marketing management are analysis, planning, function, and control (Maister, pp. 133, 1997). The degree of importance which management gives to each function is dependent on the characteristics of the market that the firm targets. For example , the characteristics of a market existing in one culture may emphasize the importance of planning above all the other functions, while a market in another culture may necessitate the control function to be the one the firm invests in the most. Again, the true effect of the culture on the marketing management can only be understood through in-depth analysis and examples. According to a case study, which studied international marketing by shedding light on Ikea’s operations in Shanghai, they learned that â€Å"the company must think globally and act locally in hope of building long-term customer relationships and capturing customer value. In marketing decisions, culture does not hold an ultimate status but still calls for due attention as much as other factors, such as the marketing environment and the company’s strategic plan† (Pan, pp. iii, 2005). This is an example of such a case, were marketing across several different cultures has led to a difference in the marketing elements employed, and will thus be useful in understanding the phenomenon.  Similarly, one can deduce that the strategic management that a multinational company does is on a global scale, following the rules it abides by in any part of the world. Whereas the local marketing strategies are designed locally, depending on the target market and culture of the country of operation (Doole and Lowe, pp. 218-225, 2008). Product: One of the elements in the marketing mix, which is majorly affected by the culture to which it is being employed in, is the product itself.

A Business Research Proposal of British Airways

A Business of British Airways - Research Proposal Example The role of social media is very critical in today’s market, as business are desperate of attracting new customers and retaining the new ones as there is intensified competition in the market share of the customers (Kaplan & Haenlein 2010, 63). The airline industry is one of the most competitive markets in the service sector. Major airline operators in the industry are fighting to not only understand the needs of their customers but also in tracking their level of satisfaction with their services (Prokesch 1995, 109). As a result, the utilization of modern social technologies in reaching the customers has become a fundamental practice to enhance competitiveness among key players in the industry. A key player in the airline industry in the United Kingdom is the British Airways that owns about 47 per cent of UK airline market share (Mills 2003, 17). The purpose of the research study is focusing on the role of the social media on the British Airway Company as part of the company’s Customer Relationship Management strategy (CRM). As a result of the low differentiation of the services offered in the industry, the airline industry has become one of the markets under stiff competition in the service sector. As a result, major firms operating in the sector are adopting devise innovative strategies to improve their relationship with their customers through the Customer Relationship Management systems (Belobaba et al. 2009, par 1). The social media has developed to be one of the most effective and convenient platforms due to its popularity where customers are engaged, and communication is also enhanced. CRM has been related to understanding the needs of the customers and addressing them in a timely manner thus social media plays a key role  in enhancing effective CRM (Verhoef 2003, 33). In regards to the to the intensified competition in the

The Value of Work Experience :: Free Essays

The Value of Work Experience A summer or part-time job pays more than money. Even though the money earned is important, the work experience gained has a greater long-term value when one applies for a full-time job after graduation from school. Job application documents (the application blank and the personal data sheet) ask you to list jobs you have held and to list as references the names of individuals who supervised your work. (Gieseking and Plawin, 1994, 22) As one young person was heard to remark, â€Å"You can’t get a job without experience, and you can’t get experience without a job.† That dilemma can be overcome, however, by starting work early in life and by accepting simpler jobs that have no minimum age limit and do not require experience. Jobs Teens Can Do Begin early at jobs that may not pay especially well but help to establish a working track record: delivering newspapers, babysitting, mowing lawns, assisting with gardening, and the like. Use these work experiences as springboards for such later jobs as sales clerks, gas station attendant, fast-food worker, lifeguard, playground supervisor assistant, and office staff assistant (after you have developed basic office skills). As you progress through these work exploration experiences, try increasingly to get jobs that have some relationship to your career plans. If, for example, you want a career involving frequent contact with people—as in sales—seek part-time and summer work that gives you experience in dealing with people. Hamel, 1989, 10) How to Handle Yourself on the Job Whatever the job you are able to get, the following pointers will help you succeed in getting good recommendation for the next job you seek. 1. Be punctual. Get to work on time and return from lunch and other breaks promptly. 2. Get along well with others. Do your job well and offer to assist others who may need help. Take direction with a smile instead of a frown.

Small Team Group Paper

Paper I recently worked in a small group for my employer. The team included five of us. We had signed up to volunteer to serve at a benefit luncheon for M. S. Our previous general manager had been diagnosed with M. S. And stepped down from her position in order to take care of her health. The luncheon was very important to all of us. We were all of different personalities from five different walks of life. We were all girls. Each group always had that one out spoken person, one who was the caboose, and he other three of us where somewhere in the middle of the two personalities that stood out.One of the major problems we had with this group was that the one girl just loved to gab. I think if she could make a living for talking, she'd be a millionaire. Therefore, she would walk around, which we were encouraged to do, and talk to all those who attended. But she took advantage of the freedom to do so. At the luncheon we had sold well over 500 tickets, that didn't include the people who w alked in and bought a ticket at the door. So with being down one person we began to slip behind.We were running out food because our line of communication to the kitchen to refill was cut off, we had tables that needed clean, guest that needed assistance. Because this girl would run off and disappear we had to pull one girl from one station to pick of the slack, so we were constantly always moving around. Once we were able to find a rhythm and the girl came back we set some ground rules. She was not happy being told what to do since it was volunteer work, but we were there for one reason and it as to help raise money for a good cause.We didn't nominate a leader of the group. We figured we were all grown adults there to do grown adult work. We believed we didn't need a leader. We were able to all speak our minds to one another and agree on rules that needed to be enforced so we were successful. We also were representing the company we were working for at the time and did not want to set a bad example or lose our Job over something so silly. Making sure that our time was successful was our number one priority .Us girls all got along so well and liked each there that we wanted the five of us to continue to be able to work together in a team and represent our company at future events such as the one we were working at. Another goal we had was to make the over all luncheon a success. We wanted to help raise as much money for M. S. As possible so next year more people would want to come out and help support the cause. The communication among our group was great. We all had communicated on a daily basis at work. We would text each other on the weekends.None of us were real close until we started working in the groups gather. We were all honest with each other. I think that because we had an open line of communication and were honest with one another that that's what strengthen our relationship between the five of us. Ever since I worked in a group with these five gir ls, it makes me want to work more and more in groups. Sometimes with the same five girls I started with, and sometimes with new people. I enjoyed getting to know these young ladies, and because of it I have build a lifetime friendship. We did go on working more charity events for the community.Our goals for each and every event were always the same. Be positive, we are the face of our company so we had to be the role model, be successful as a whole, engage with the people, make them want to come back to other events we would be doing in the future. We all took to one another so when we had an opinion about something we were all open for discussion. We never took each others criticism to heart, we often would laugh about it and fix the issue that was at hand. Over all we enjoyed each other's company because it passed the time and made working with a group enjoyable.

Essay Crushed Dreams in The Glass Menagerie - 1194 Words

Crushed Dreams in The Glass Menagerie Tennessee Williams is known for his use of symbols, tension, and irony. Williams uses all of these components to express the central theme of The Glass Menagerie - hope followed by despair. Each of the characters has dreams that are destroyed by the harsh realities of the world. As the narrator blatantly admits, since I have a poets weakness for symbols, symbols are central to The Glass Menagerie (Williams 30). Symbols are merely concrete substitutions used to express a particular theme, idea, or character. One major symbol is the fire escape which has a separate function for each of the characters. This fire escape provides a means of escape for Tom from his†¦show more content†¦Both Laura and her glass menagerie break when they are exposed to the outside world, represented by Jim. When Laura gives Jim her broken unicorn, it symbolises her broken heart that Jim will take with him when he leaves. The unicorn is no longer unique like her, rather he is common now - more like Jim. Therefore, she gives the unicorn to Jim. Just as she gives Jim a little bit of herself to take with him, he leaves behind a little bit of himself with her shattered hopes. Another recurrent symbol used throughout The Glass Menagerie is the use of rainbows. Rainbows symbolise hope and each mention of rainbows in the play is associated with a hopeful situation. When Tom talks about his rainbow-coloured scarf that he got at the magic show, he talks about how it changed a bowl of goldfish into flying canaries. Just like the canaries, Tom hopes to fly away too - to escape from his imprisonment. The chandeliers which create rainbow reflections at the Dance Hall foreshadow the dance between Jim and Laura which instils hope within her. At the end when Tom looks at pieces of coloured glass, like bits of a shattered rainbow, he remembers his sister and hopes that he can blow [her] candles out (Williams 137). Ironically, though the rainbows seemed to be positive signs, they all end in disappointment. Irony is shown mostly through the voice of the narrator. As Bloom suggests, Tom maintains distance between himself and theShow MoreRelatedSymbolism In The Glass Menagerie By Tennessee Williams858 Words   |  4 Pagesaffected his work especially in The Glass Menagerie. Williams’s homosexuality made him be seen as an outcast in American society. Not to mention that homosexuality was not as widely accepted as it is today. The writing style of Williams creates a unique and great story. Tennessee Williams utilizes symbolism to express his themes throughout The Glass Menagerie. There are many events in Tennessee Williams’s early life that is similar to the details in The Glass Menagerie. Williams had a bad relationshipRead MoreThe Glass Menagerie Symbolism Essay800 Words   |  4 Pagesexperiences in the 1930s affected his work. Williams’s homosexuality made him be seen as an outcast in American society. Tennessee Williams utilizes symbolism to express his themes throughout The Glass Menagerie. There are many events in Tennessee Williams’s early life that is similar to the details in The Glass Menagerie. Williams had a bad relationship with his father, who was clinically alcoholic (Debusscher 1). Williams’s dysfunctional family plays a role towards his homosexuality (Debusscher 4). A researchRead MoreEssay on A Raisin in the Sun vs. The Glass Menagerie745 Words   |  3 PagesA Raisin in the Sun vs. The Glass Menagerie   Ã‚  Ã‚  Ã‚  Ã‚  America is known around the world as the land of opportunity, a place where you can follow your dreams. No matter how selfish or farfetched ones dream may be, their goal will always be available. Whether it be the pursuit of the woman of your dreams, like that of Jay Gatsby, or the hunt for something pure and real, like Holden Caulfield. A Raisin in the Sun, by Lorraine Hansberry, and The Glass Menagerie, by Tennessee Williams, exhibit the variousRead MoreThe Glass Menagerie By Tennessee William1185 Words   |  5 PagesThe play â€Å"The Glass Menagerie,† written by Tennessee William in 1945, recounts around a family trying to escape the limitations of time and their difficulties coping with life. The main character Tom is the man of the house watching over his mother and sister since his dad left. He is to stay home and fulfill the duties of working at a warehouse but his dream is to leave and be adventurous. Laura, Tom’s sister viewed as crippled and stuck in the present of her disability and shyness stopping herRead MoreThe Glass Menagerie By Tennessee Williams1228 Words   |  5 Pagesâ€Å"The Glass Menagerie† is a play by Tennessee Williams. There are only four characters in the drama with a fifth character referenced so much that his character is a big part of the story line. The play is about a southern woman named Amanda and her two grown children. Tom is the son who has the responsibility of taking care of his sister and their mother. Laura has a disability that limits her capabilities and her confidence; consequently, her mother does not seem to understand how these limitationsRead More Illusion vs. Reality in The Glass Menagerie Essay2797 Words   |  12 PagesIllusion vs. Reality in The Glass Menagerie      Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   In The Glass Menagerie, Tennessee Williams uses the roles of the members of the Wingfield family to highlight the controlling theme of illusion versus reality. The family as a whole is enveloped in mirage; the lives of the characters do not exist outside of their apartment and they have basically isolated themselves from the rest of the world. Even their apartment is a direct reflection of the past as stories are often recalled from theRead More catcher in the rye glass menagerie Essay1131 Words   |  5 PagesThe Glass Menagerie The person someone becomes is influenced by the losses they have experienced in their life. In Catcher in the Rye the main character Holden Caulfield is devastated by the loss of his younger brother Allie to leukemia. The loss of Allie never leaves Holden’s mind. It changes his perception of the world. In The Glass Menagerie Amanda Wingfield’s husband abandons her and their two children Tom and Laura. For Amanda the only way to deal with the loss is to escape into a dream worldRead MoreThe Glass Menagerie By Tennessee Williams2576 Words   |  11 PagesIn The Glass Menagerie, Tennessee Williams beautifully encapsulates man’s desire to escape from uncomfortable emotional and physical situations. Whether he’s showing a young man trapped in a factory job he hates, an aging single mother who mourns for her life as Southern belle, or a young lady who fears that she’ll spend her life alone, he clearly demonstrates these desires and fears for his audience. Williams shows us through the actions of his characters how humans handle a wide variety of uncomfort able