he volume of liquid in an unopened 1-gallon can of paint is an example of _________. a) the binomial distribution b) both discrete and continuous variable c) a continuous random variable d) a discrete random variable e) a constant 2. The number of finance majors within the School of Business is an example of _______. a) a discrete random variable b) a continuous random variable c) the Poisson distribution d) the normal distribution e) a constant 3. The speed at which a jet plane can fly is an example of _________. a) neither discrete nor continuous random variable b) both discrete and continuous random variable c) a continuous random variable d) a discrete random variable e) a constant 4. A manufacturer of cans of soda pop weighs every 10th can to determine if the production line is working properly. The weight of the cans would be an example of ___________. a) a discrete random variable b) a continuous random variable c) the continuous distribution d) the normal distribution e) a discrete distribution 5. A manufacturer of cans of soda pop weights every 10th can to determine if the production line is working properly. The number of cans weighed in an hour would be an example of ___________. a) a discrete random variable b) a continuous random variable c) the continuous distribution d) the normal distribution e) a discrete distribution 6. A manufacturer of cans of soda pop weighs every 10th can to determine if the production line is working properly. The possible outcomes of how many cans weighed in an hour and their associated probabilities would be an example of ___________. a) a discrete random variable b) a continuous random variable c) the continuous distribution d) the normal distribution e) a discrete distribution 7. A recent analysis of the number of rainy days per month found the following outcomes and probabilities. Number of Raining Days (x) P(x) 3 .40 4 .20 5 .40 The mean of this distribution is _____________. a) 2 b) 3 c) 4 d) 5 e) <1 distribution