1. A description of how the probabilities are distributed over the values the random variable can assume is called a(n) __   a probability distribution
2. A normal probability distribution ____   is a discrete probability distribution
3. A sample statistic, such as , that estimates the value of the corresponding population parameter is known as a _____.   point estimator
4. A simple random sample of 5 observations from a population containing 400 elements was taken, and the following values were obtained.
   12
   18
   19
   20
   21
   A point estimate of the population mean is    18
5. A simple random sample of size n from a finite population of size N is to be selected. Each possible sample should have    the same probability of being selected
6. An interval estimate is used to estimate ___   a population parameter
7. As the degrees of freedom increase, the t distribution approaches the _____ distribution.   Normal
8. As the sample size increases, the _   standard error of the mean decreases
9. From a population that is not normally distributed and whose standard deviation is not known, a sample of 50 items is selected to develop an interval estimate for μ. Which of the following statements is true?   the t distribution with 49 degrees of freedom must be used
10. If we want to provide a 95% confidence interval for the mean of a population, the confidence coefficient is   .95
11. In a binomial experiment, the   probability of success does not change from trial to trial
12. In a standard normal distribution, the range of values of z is from   minus infinity to infinity
13. In determining an interval estimate of a population mean when σ is unknown, we use a t distribution with _____ degrees of freedom.     n-1
14. In general, higher confidence levels provide _   wider confidence intervals
15. The expected value of a discrete random variable   is the average value for the random variable over many repeats of the experiment
16. The expected value of equals the mean of the population from which the sample is drawn   for any sample size
17. The exponential probability distribution is used with _____.   a continuous random variable
18. The finite correction factor should be used in the computation of when n/N is greater than _____.   .05
19. The form of the continuous uniform probability distribution is   rectangular
20. The mean, median, and mode have the same value for which of the following probability distributions?    Normal
21. The Poisson probability distribution is used with   either a continuous or discrete random variable  
22. The population being studied is usually considered ______ if it involves an ongoing process that makes listing or counting every element in the population impossible   infinite
23. The standard deviation of is referred to as the   standard error of the proportion
24. The standard error of the proportion will become larger as _____.  p approaches .5
25. The weight of an object, measured in grams, is an example of _____. a continuous random variable
26. We can use the normal distribution to make confidence interval estimates for the population proportion, p, when _____.  np ≥ 5 and n(1 − p) ≥ 5
27. When the population has a normal distribution, the sampling distribution of is normally distributed _____   for any sample size

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