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B Stats Exam 3 Quiz
Bus Stats Exam 3 Quiz Questions
| Question | Answer |
|---|---|
| A probability distribution showing the probability of x successes in n trials from a population with r successes in N – r failures is termed a | hypergeometric probability distribution |
| The center of a normal curve | is the mean of the distribution |
| The probability that a continuous random variable takes any specific value | is equal to zero |
| In computing the standard error of the mean, the finite population correction factor is used when | n/N > 0.05 |
| A negative value of Z indicates that | the number of standard deviations of an observation is to the left of the mean |
| A simple random sample of 100 observations was taken from a large population. The sample mean and the standard deviation were determined to be 80 and 12 respectively. The standard error of the mean is | 1.20 |
| A theorem that allows us to use the normal probability distribution to approximate the sampling distribution of sample means and sample proportions whenever the sample size is large is known as the | central limit theorem |
| A population characteristic, such as a population mean, is called | a parameter |
| A normal distribution with a mean of 0 and a standard deviation of 1 is called | a standard normal distribution |
| The number of customers that enter a store during one day is an example of | a discrete random variable |
| A continuous random variable may assume | any value in an interval or collection of intervals |
| If we consider the simple random sampling process as an experiment, the sample mean is | a random variable |
| Which of the following is not a characteristic of the normal probability distribution? | 99.72% of the time the random variable assumes a value within plus or minus 1 standard deviation of its mean |
| A probability distribution for all possible values of a sample statistic is known as | a sampling distribution |
| A description of the distribution of the values of a random variable and their associated probabilities is called a | probability distribution |
| Variance is | a measure of the dispersion of a random variable |
| In the textile industry, a manufacturer is interested in the number of blemishes or flaws occurring in each 100 feet of material. The probability distribution that has the greatest chance of applying to this situation is the | Poisson distribution |
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