MBA 624 Chapter 5 Quiz/Questions and Answers Graded A+/Chapter 5 HW Test.

MBA 624 Chapter 5 Quiz/Questions and Answers Graded A+/Chapter 5 HW Test. MBA 624 Chapter 5 Quiz/Questions and Answers Graded A+/Chapter 5 HW Test. Question 1 1. "No shows" are the people with reservations who fail to arrive. The following table shows the number of no shows each day at a hotel over the last 125 business days. Number of No Shows Frequency 0 61 1 35 2 10 3 12 4 7 2. What is the mean number of no shows per day? 1.89 5 0.95 2 1.22 7 0.65 0 1 points Question 2 1. "No shows" are the people with reservations who fail to arrive. The following table shows the number of no shows each day at a hotel over the last 125 business days. Number of No Shows Frequency 0 61 1 35 2 10 3 12 4 7 2. What is the standard deviation for the number of no shows per day? 0.6 8 0.9 6 1.2 1 1.5 5 1 points Question 3 1. A distribution is useful for calculating the probability that a certain number of events will occur over a specific interval of time or space. normal hypergeometr ic Poisson binomial 1 points Question 4 1. A company that bakes chocolate chip cookies averages 5.2 chocolate chips per cookie. Assume that the number of chocolate chips per cookie follows the Poisson distribution. What is the probability that a randomly selected cookie will contain exactly four chocolate chips? 0.332 5 0.16 81 0.225 4 0.296 0 1 points Question 5 1. A company that bakes chocolate chip cookies averages 5.2 chocolate chips per cookie. Assume that the number of chocolate chips per cookie follows the Poisson distribution. What is the probability that a randomly selected cookie will contain one or two chocolate chips? 0.169 7 0.202 0 0.10 33 0.059 6 1 points Question 6 1. A company that bakes chocolate chip cookies averages 5.2 chocolate chips per cookie. Assume that the number of chocolate chips per cookie follows the Poisson distribution. What is the probability that a randomly selected cookie will contain two or more chocolate chips? 0.356 9 0.546 9 0.440 1 0.96 58 1 points Question 7 1. A listing of all the possible outcomes of an experiment for a discrete random variable along with the relative frequency of each outcome is called a discrete probability distribution. True False 1 points Question 8 1. A novel on the A web site has the following ratings, in number of stars, from reviewers: Number of Stars Frequency 1 7 2 4 3 20 4 9 5 10 2. What is the mean of this distribution? 3.8 5 3.7 6 3.2 2 2.5 7 1 points Question 9 1. A novel on the A web site has the following ratings, in number of stars, from reviewers: Number of Stars Frequency 1 7 2 4 3 20 4 9 5 10 2. What is the standard deviation of this distribution? 3.2 9 2.7 1 1.2 5 4.3 0 1 points Question 10 1. A novel on the A web site has the following ratings, in number of stars, from reviewers: Number of Stars Frequency 1 7 2 4 3 20 4 9 5 10 2. What is the probability that a randomly selected review is more than 3 stars? 0.2 1 0.5 5 1.0 0 0.3 8 1 points Question 11 1. According to LIMRA, 77% of husband-wife families with kids under 18 years old have life insurance. A random sample of six husband-wife families was selected. What is the probability that exactly four families have life insurance? 0.521 5 0.373 5 0.27 89 0.483 2 1 points Question 12 1. According to LIMRA, 77% of husband-wife families with kids under 18 years old have life insurance. A random sample of six husband-wife families was selected. What is the probability that less than two families have life insurance? 0.00 31 0.186 4 0.056 9 0.119 7 1 points Question 13 1. According to LIMRA, 77% of husband-wife families with kids under 18 years old have life insurance. A random sample of six husband-wife families was selected. What is the probability that five or more families have life insurance? 0.58 20 0.402 5 0.662 1 0.366 7 1 points Question 14 1. According to LIMRA, 77% of husband-wife families with kids under 18 years old have life insurance. A random sample of six husband-wife families was selected. What is the mean of this distribution? 5.2 8 4.6 2 3.5 0 5.8 6 1 points Question 15 1. According to LIMRA, 77% of husband-wife families with kids under 18 years old have life insurance. A random sample of six husband-wife families was selected. What is the standard deviation of this distribution? 1.75 8 2.60 7 1.03 1 2.02 9 1 points Question 16 1. Dwight Howard plays center in the National Basketball Association and averaged 1.8 blocked shots per game during a recent season. Assume that the number of blocked shots per game follows the Poisson distribution. What is the probability that Dwight Howard will block two or three shots during the next game? 0.186 3 0.42 85 0.370 3 0.259 5 1 points Question 17 1. If you are counting the number of customers visiting your store on a given day, you are working with continuous data. True False 1 points Question 18 1. In a binomial experiment, the number of successes can never exceed the number of trials. True False 1 points Question 19 1. Testing whether a part is defective or not defective after it has been manufactured would be best described using a binomial probability distribution. True False 1 points Question 20 1. The following table shows the number of pieces of junk mail that arrives in my mailbox each day. Number of Pieces of Junk Mail Frequency 2 2 3 14 4 6 5 16 6 12 2. What is the mean number of pieces of junk mail received per day? 2.1 1 3.7 0 2.6 4 4.4 4 1 points Question 21 1. The following table shows the number of pieces of junk mail that arrives in my mailbox each day. Number of Pieces of Junk Mail Frequency 2 2 3 14 4 6 5 16 6 12 2. What is the standard deviation for the number of pieces of junk mail received per day? 2.5 7 2.0 6 0.9 1 1.2 4 1 points Question 22 1. The following table shows the number of pieces of junk mail that arrives in my mailbox each day. Number of Pieces of Junk Mail Frequency 2 2 3 14 4 6 5 16 6 12 2. What is the probability that 3 or fewer pieces of junk mail will be received today? 0.3 2 0.5 6 0.4 5 0.6 2 1 points Question 23 1. The mean and the variance are equal for a probability distribution. uniform normal Poisso n binomia l 1 points Question 24 1. The ounces of soda consumed by an adult next month are an example of a discrete random variable. True False 1 points Question 25 1. The mean of the binomial distribution represents the long-term average number of successes to expect based on the number of trials conducted. True False 1 points Question 26 1. The mean of a discrete probability distribution needs to equal one of the values of the random variables. True False 1 points Question 27 1. Because of the ambiguity of the intervals, technically, it's not proper to calculate the mean and standard deviation of ordinal data. True False 1 points Question 28 1. Observing whether a customer purchases or does not purchase an extended warranty for a new laptop would be best described using a uniform probability distribution. True False 1 points Question 29 1. The number of successes in a binomial experiment must range from zero to n. True False 1 points Question 30 1. The number of typographical errors found in a manuscript would best be described using a Poisson probability distribution. True False