1. Question : In the application of Bayes' Theorem the sample information is combined with prior probabilities to obtain posterior probabilities.
2. Question : The actual weight of hamburger patties is an example of a continuous random variable.
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:
- ∑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
- 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 ____
- zero, zero.
- zero, one.
- one, one.
- one, zero.
7. Question : A(n) __________ is a measure of the chance that an uncertain event will occur.
- 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?
- 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)
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.