Answer to Question 1
ANS: B, C
Probability sampling methods have been developed to ensure some degree of precision in estimations of the population parameters. Thus, probability samples reduce sampling error. The term probability sample refers to the fact that every member (element) of the population has a probability higher than zero of being selected for the sample. Since all tickets have a greater than zero chance of winning, and since the tickets drawn have a very good probability of being representative of all tickets purchased, this is a probability sample.
Answer to Question 2
ANS: A, B, C, D, E
The difference between a sample statistic and a population parameter is called the sampling error. A large sampling error means that the sample is not providing a precise picture of the population; it is not representative. Sampling error is usually larger with small samples and decreases as the sample size increases. Sampling error reduces the power of a study, or the ability of the statistical analyses conducted to detect differences between groups or to describe the relationships among variables. Sampling error occurs as a result of random variation and systematic variation.
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A company purchased 26 desks for $240 each and 18 chairs for $59 each. Compute the total ...