MBA 624 Chapter 6 Quiz Questions and Answers 100% Correct/ (MBA 624 Chpt6HW)

MBA 624 Chapter 6 Quiz Questions and Answers 100% Correct/ (MBA 624 Chpt6HW) Question 1 A discrete random variable that follows the Poisson distribution with a mean equal to λ has a counterpart continuous random variable that follows the distribution with a mean equal to μ = 1/λ. uniform discrete exponential normal Question 2 A smaller standard deviation for the normal probability distribution results in a skinnier curve that is more spread out around the mean and not as tall. a skinnier curve that is tighter and taller around the mean. a fatter curve that is more spread out around the mean and not as tall. a fatter curve that is tighter and taller around the mean. Question 3 A survey conducted in 2011 asked employed adults from age 25 to 70 if they plan to keep a foot in the working world after retirement. Thirty-three percent of the respondents answered "very likely". A random sample of 75 adults from this age group was asked the same question. Using the normal approximation to the binomial distribution, what is the probability that more than 18 adults from this sample would very likely plan to keep a foot in the working world after retirement? 0.8413 0.9370 0.5557 0.6772 Question 4 A survey conducted in 2011 asked employed adults from age 25 to 70 if they plan to keep a foot in the working world after retirement. Thirty-three percent of the respondents answered "very likely". A random sample of 75 adults from this age group was asked the same question. Using the normal approximation to the binomial distribution, what is the probability that 20, 21, 22, or 23 adults from this sample would very likely plan to keep a foot in the working world after retirement? 0.2808 0.3794 0.6539 0.4560 Question 5 A survey conducted last year asked employed adults from age 25 to 70 if they plan to keep a foot in the working world after retirement. Thirty-three percent of the respondents answered "very likely". A random sample of 75 adults from this age group was asked the same question. Using the normal approximation to the binomial distribution, what is the probability that 21 or fewer adults from this sample would very likely plan to keep a foot in the working world after retirement? 0.3192 0.1075 0.4721 0.2119 Question 6 Any normally distributed values can be standardized with z-scores. True False Question 7 Assume that the amount of time that it takes an employee to service a car at an oil change facility follows the uniform probability distribution between 21 and 38 minutes. What is the mean of this distribution? 26.5 28.0 29.5 31.0 Question 8 Assume that the amount of time that it takes an employee to service a car at an oil change facility follows the uniform probability distribution between 21 and 38 minutes. What is the standard deviation of this distribution? 4.91 9.75 6.62 11.89 Question 9 Assume that the amount of time that it takes an employee to service a car at an oil change facility follows the uniform probability distribution between 21 and 38 minutes. What is the probability that a randomly selected car will require less than 25 minutes to service? 0.5716 0.2353 0.3146 0.4860 Question 10 Assume that the amount of time that it takes an employee to service a car at an oil change facility follows the uniform probability distribution between 21 and 38 minutes. What is the probability that a randomly selected car will require more than 30 minutes to service? 0.2244 0.1687 0.3720 0.4706 Question 11 Assume that the amount of time that it takes an employee to service a car at an oil change facility follows the uniform probability distribution between 21 and 38 minutes. What is the probability that a randomly selected car will require between 25 and 35 minutes to service? 0.5882 0.3216 0.6425 0.4133 Question 12 Assume that the amount of time that it takes an employee to service a car at an oil change facility follows the uniform probability distribution between 21 and 38 minutes. What is the probability that a randomly selected car will require exactly 30 minutes to service? 0.2565 0.5894 0.4706 0.0 Question 13 Assume that the average talk time on an Apple iPhone is 20 hours and that this time follows the exponential probability distribution. What is the probability that a randomly selected iPhone will experience more than 23 hours of talk time? 0.3166 0.5916 0.1969 0.4258 Question 14 Assume that the average talk time on an Apple iPhone is 20 hours and that this time follows the exponential probability distribution. What is the probability that a randomly selected iPhone will experience less than 15 hours of talk time? 0.4252 0.5276 0.3184 0.2555 Question 15 Assume that the average talk time on an Apple iPhone is 20 hours and that this time follows the exponential probability distribution. What is the probability that a randomly selected iPhone will experience between 10 and 30 hours of talk time? 0.4650 0.5875 0.5219 0.3834 Question 16 Bananas are sold in bunches at a grocery store and typically consist of 4-8 bananas per bunch. Suppose the weight of these bunches follows a normal distribution with a mean of 3.54 pounds and a standard deviation of 0.63 pounds. What is the probability that a randomly selected bunch of bananas will weigh more than 3.0 pounds? 0.6950 0.8051 0.5398 0.9463 Question 17 Bananas are sold in bunches at a grocery store and typically consist of 4-8 bananas per bunch. Suppose the weight of these bunches follows a normal distribution with a mean of 3.54 pounds and a standard deviation of 0.63 pounds. What is the probability that a randomly selected bunch of bananas will weigh less than 4.0 pounds? 0.7673 0.5080 0.6808 0.9821 Question 18 Bananas are sold in bunches at a grocery store and typically consist of 4-8 bananas per bunch. Suppose the weight of these bunches follows a normal distribution with a mean of 3.54 pounds and a standard deviation of 0.63 pounds. What is the probability that a randomly selected bunch of bananas will weigh between 3.6 and 4.2 pounds? 0.3133 0.2676 0.4090 0.4641 Question 19 Bananas are sold in bunches at a grocery store and typically consist of 4-8 bananas per bunch. Suppose the weight of these bunches follows a normal distribution with a mean of 3.54 pounds and a standard deviation of 0.63 pounds. The interval around the mean that contains 99.7% of the bunch weights is . 0.39, 6.69 2.28, 4.80 1.65, 5.43 1.02, 6.06 Question 20 DLP projectors are used in the majority of cinema projection systems and require a special light bulb to display a picture. Assume that the average life of a DLP bulb is 2,000 hours and that this failure time follows the exponential distribution. What is the probability that a randomly selected bulb will last more than 2,500 hours? 0.2865 0.1365 0.2031 0.4492 Question 21 DLP projectors are used in the majority of cinema projection systems and require a special light bulb to display a picture. Assume that the average life of a DLP bulb is 2,000 hours and that this failure time follows the exponential distribution. What is the probability that a randomly selected bulb will last less than 1,800 hours? 0.3567 0.7774 0.5934 0.4056 Question 22 DLP projectors are used in the majority of cinema projection systems and require a special light bulb to display a picture. Assume that the average life of a DLP bulb is 2,000 hours and that this failure time follows the exponential distribution. What is the probability that a randomly selected bulb will last between 1,500 and 2,200 hours? 0.2530 0.1395 0.3648 0.1956 Question 23 During the 2013 Major League Baseball season, the St. Louis Cardinals averaged 41,602 fans per home game. Suppose attendance during the season follows the normal probability distribution with a standard deviation of 9,440 per game. What is the probability that a randomly selected game during the 2013 season had an attendance greater than 50,000 people? 0.0417 0.3255 0.3986 0.1867 Question 24 Suppose the round-trip airfare between Philadelphia and Los Angeles a month before the departure date follows the normal probability distribution with a mean of $387.20 and a standard deviation of $68.50. The interval around the mean that contains 95% of the airfares is . $318.70, $455.70 $250.20, $524.20 $352.95, $421.45 $284.45, $489.95 Question 25 Suppose the round-trip airfare between Philadelphia and Los Angeles a month before the departure date follows the normal probability distribution with a mean of $387.20 and a standard deviation of $68.50. What is the probability that a randomly selected airfare between these two cities will be between $325 and $425? 0.2650 0.3875 0.1548 0.5274 Question 26 Suppose the round-trip airfare between Philadelphia and Los Angeles a month before the departure date follows the normal probability distribution with a mean of $387.20 and a standard deviation of $68.50. What is the probability that a randomly selected airfare between these two cities will be less than $300? 0.3192 0.4286 0.1020 0.2005 Question 27 Suppose the round-trip airfare between Philadelphia and Los Angeles a month before the departure date follows the normal probability distribution with a mean of $387.20 and a standard deviation of $68.50. What is the probability that a randomly selected airfare between these two cities will be more than $450? 0.2033 0.0788 0.1788 0.3669 Question 28 The area under the curve of the normal probability distribution is always equal to 1.0. True False Question 29 The probability distribution is useful when the majority of the data tend to be in the middle of the distribution. uniform Poisson normal exponential Question 30 Which of the following experiments does not generate a continuous random variable? measuring the number of ounces of soda in a bottle recording the number of minutes a customer waits on hold for technical support counting the number of customers who enter a store during the business day recording the number of miles traveled between two locations