1. Question : In the application of Bayes’ Theorem the sample information is combined with prior probabilities to obtain posterior probabilities. Student Answer: True False 2. Question : The actual weight of hamburger patties is an example of a continuous random variable. Student Answer: True False 3. Question : A student’s grade on an examination was transformed to a z value which is negative. Therefore, we know that he scored Student Answer: higher than 16% of the class. higher than 45% of the class. above the first quartile. below the mean. above the mean but below the median. 4. Question : The expected value of a discrete random variable is: Student Answer: ?x p(x) n ?p ?q ?(x – µx)2 p(x) 5. Question : The following formula: P(A U B) = P(A) + P(B) – P(A ? B) represents Student Answer: the conditional probability. the addition rule. independence. the multiplication rule. None of the above. 6. Question : A standard normal distribution has a mean of ____and standard deviation of ____ Student Answer: zero, zero. zero, one. one, one. one, zero. 7. Question : A(n) __________ is a measure of the chance that an uncertain event will occur. Student Answer: experiment sample space probability complement population 8. Question : The MPG (mileage per gallon) for a mid-size car is normally distributed with a mean of 32 and a standard deviation of .8. What is the probability that the MPG for a selected mid-size car would be less than 33.2? Student Answer: 43.32% 6.68% 93.32% 86.64% 13.36% 9. Question : For a Poisson random variable the mean and the variance equal the average number of occurrences over the time interval (µx = ó2x = µ) Student Answer: True False 10. Question : In a statistical study, the random variable X = 1, if the house is colonial, and X = 0 if the house is not colonial, then it can be stated that the random variable is continuous. Student Answer: True False