Quiz 2 Student: __________________________________ 1. If only one of several events can occur at a time, we refer to these events as being mutually exclusive events. True False 2. The probability of rolling a 3 or 2 on a single die is an example of conditional probability. True False 3. The probability assigned to an event that is certain not to occur is 0.0. True False 4. A combination is an arrangement of a set of objects in which there is an order from the first through the last. True False 5. The closer a probability is to 0, the more likely that an event will happen. The closer the probability is to 1.00, the more likely an event will not happen. True False 6. A random variable is assigned numerical values based on the outcomes of an experiment. True False 7. A binomial distribution has a characteristic that the trials are independent, which means that the outcome of one trial does not affect the outcome of any other trial. True False 8. For a binomial distribution, the probability of a success stays the same for each trial, but the probability of a failure varies from trial to trial. True False
9. Some normal probability distributions have different arithmetic means and different standard deviations. True False 10. Some normal probability distributions are positively skewed. True False 11. The central limit theorem implies that sampling with an adequate sample size provides good estimates of population parameters. True False 12. Based on the sampling distribution of the means and the central limit theorem, the sample mean can be used as a good estimator of the population mean, assuming that the size of the sample is sufficiently large. True False 13. An estimate of the population mean based on a large sample is less reliable than an estimate made using a small sample. True False 14. Generally speaking, the alternate hypothesis is set up for the purpose of either accepting or rejecting it. True False 15. There is only one level of significance that is applied…