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1. The technique of inferential statistics are designed to yield: a. eternal truth c. probability estimates b. data descriptions d. all of these 2. Predicting

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1. The technique of inferential statistics are designed to yield: a. eternal truth c. probability estimates b. data descriptions d. all of these 2. Predicting the characteristics of an entire group, after having measured a small group, is the major goal of: a. probability theory c. measurement theory b. descriptive statistics d. inferential statistics 3. An entire group of persons, things, or events having at least one trait in common defines the: a. population b. sample c. statistic d. measurement scale Any value which is based on having measured the entire population is called the: a. parameter b. statistic c. finite measure d. none of these 5. Any value which is based on having measured a sample is called a: a. parameter b. statistic c. infinite measure d. biased 6. When the population mean differs from the sample mean, the result is called: a. bias c. measurement transformation b. statistical regression d. sampling error 7. If the names of all students at Omega University were placed in a fishbowl, and the researcher selected out 10% of the names, the resulting sample would be: a. biased b. random c. stratified d. far too small for meaning 8. Random sampling occurs when: a. the sample is selected from a single population b. a random choice determines only the first subject to be selected c. a sample is selected from an infinite population d. all members of the population have an equal chance of being selected 9. Omega University has a total student enrollment of 6000, and all students were tested for IQ. The mean IQ for the group was 115. This value of 115 constitutes a: a. statistic b. population c. sample d. parameter 10. If every 10" student entering the college library on a Tuesday afternoon were selected for testing, the group thus selected would constitute a: a. sample b. random sample c. quota sample d. statistic 11. When a group is truly selected randomly from a population, the probability of its mean value being higher than the parameter mean is: a. 0.00 b. .50 c. 1.00 d. .33

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