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Question;2.91 The number of cell phone minutes used by high school seniors;follows a normal distribution with a mean of 500 and a standard deviation of;50. What is the probability that a;student uses fewer than 600 minutes?;(a) 0;(b) 0.023;(c) 0.841;(d) 0.977;(e) none of the above;2.92 The number of cell;phone minutes used by high school seniors follows a normal distribution with a;mean of 500 and a standard deviation of 50.;What is the probability that a student uses fewer than 400 minutes?;(a) 0;(b) 0.023;(c) 0.159;(d) 0.977;(e) none of the above;2.93 The;number of cell phone minutes used by high school seniors follows a normal;distribution;with a mean of 500 and a standard deviation of 50. What is the probability;that a student uses more than 350 minutes?;(a) 0.001;(b) 0.999;(c) 0.618;(d) 0.382;(e) none of the above;2.94 The number of cell;phone minutes used by high school seniors follows a normal distribution with a;mean of 500 and a standard deviation of 50.;What is the probability that a student uses more than 580 minutes?;(a) 0.152;(b) 0.0548;(c) 0.848;(d) 0.903;(e) none of the above;\;2.95 Data for a particular subdivision near downtown Houston indicate that the average price per;square foot for a home is \$100 with a standard deviation of \$5 (normally;distributed). What is the probability;that the average price per square foot for a home is greater than \$110?;(a) 0;(b) 0.023;(c) 0.841;(d) 0.977;(e) none of the above;2.96 Data for a particular subdivision near downtown Houston indicate;that the average price per square foot for a home is \$100 with a standard;deviation of \$5 (normally distributed).;What is the probability that the average price per square foot for a;home is greater than \$90?;(a) 0;(b) 0.023;(c) 0.159;(d) 0.977;(e) none of the above;2.97 Data for a particular subdivision near downtown Houston indicate;that the average price per square foot for a home is \$100 with a standard;deviation of \$5 (normally distributed).;What is the probability that the average price per square foot for a;home is less than \$85?;(a) 0.001;(b) 0.999;(c) 0.618;(d) 0.382;(e) none of the above;2.98 Data for a particular subdivision near downtown Houston indicate that the average price per;square foot for a home is \$100 with a standard deviation of \$5 (normally;distributed). What is the probability;that the average price per square foot for a home is less than \$108?;(a) 0.152;(b) 0.097;(c) 0.848;(d) 0.9452;(e) none of the above;2.99 The time required to complete;a project is normally distributed with a mean of 80 weeks and a;standard deviation of 10;weeks. The construction company must pay;a penalty if the project is;not finished by the due date in the;contract. If a construction company;bidding on this contract;puts in a due date of 80;weeks, what is the probability that they will have to pay a penalty?;(a) 0;(b) 1.000;(c) 0.500;(d) 1/8;(e) none of the above;2.100 The time required to complete a project is;normally distributed with a mean of 80 weeks and a;standard deviation of 10 weeks. The;construction company must pay a penalty if the project is;not finished by the due date in the contract.;If a construction company bidding on this contract wishes to be 90;percent sure of finishing by the due date, what due date (project week #);should be negotiated?;(a) 81.28;(b) 92.8;(c) 81.82;(d).81954;(e) none of the above;2.101 The time required to travel downtown at 10am;on Monday morning is known to be normally distributed with a mean of 40 minutes;and a standard deviation of 5 minutes.;What is the probability that it will take less than 40 minutes?;(a) 0.50;(b) 0.20;(c) 0.80;(d) 1.00;(e) none of the above;2.102 The time required to travel downtown at 10am;on Monday morning is known to be normally distributed with a mean of 40 minutes;and a standard deviation of 5 minutes.;What is the probability that it will take less than 35 minutes?;(a) 0.84134;(b) 0.15866;(c) 0.53983;(d) 0.46017;(e) none of the above;2.103 The time required to travel downtown at 10am;on Monday morning is known to be normally distributed with a mean of 40 minutes;and a standard deviation of 5 minutes.;What is the probability that it will take more than 40 minutes?;(a) 0.2500;(b) 0.0625;(c) 1.000;(d) 0.5000;(e) none of the above;2.104 Queuing Theory makes use;of the;(a) normal probability distribution.;(b) uniform probability distribution.;(c) binomial probability distribution.;(d) Poisson probability distribution.;(e) none of the above;2.105 The number of cars passing through an;intersection in the next five minutes can usually be described by the;(a) normal distribution.;(b) uniform distribution.;(c) exponential distribution.;(d) Poisson distribution.;(e) none of the above;ANSWER: d {moderate;THE POISSON DISTRIBUTION};2.106 Arrivals at a fast-food;restaurant follow a Poisson distribution with a mean arrival rate of 16;customers;per hour. What is the probability that;in the next hour there will be exactly 12 arrivals?;(a) 0.0000;(b) 0.0661;(c) 0.7500;(d) 0.1322;(e) none of the above;2.107 Arrivals at a fast-food restaurant follow a;Poisson distribution with a mean arrival rate of 16 customers per hour. What is the probability that in the next hour;there will be exactly 8 arrivals?;(a) 1.000;(b) 0.200;(c) 0.175;(d) 0.825;(e) none of the above;2.108 Which of the following;characteristics is not true for the exponential distribution?;(a) It is discrete probability distribution.;(b) It is also called the negative;exponential distribution.;(c) It is used in dealing with queuing;problems.;(d) It is used to describe the times between;customer arrivals.;(e) The variance is the square of the;expected value.;2.109 The length of time that it takes the;tollbooth attendant to service each driver can typically be described by the;(a) normal distribution.;(b) uniform distribution.;(c) exponential distribution.;(d) Poisson distribution.;(e) none of the above

Paper#60361 | Written in 18-Jul-2015

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