PART I: Knowing the Definitions Answer “True” if the statement is always true. If the statement is not always true, replace the words printed in bold with words that make the statement always true. 1.1 Inferential statistics is the study and description of data that result from an experiment. 1.2 Descriptive statistics is the study of a sample that enables us to make projections or estimates about the population from which the sample is drawn. 1.3 A population is typically a very large collection of individuals or objects about which we desire information. 1.4 A statistic is the calculated measure of some characteristic of a population. 1.5 A parameter is the measure of some characteristic of a sample. 1.6 As a result of surveying 50 freshmen, it was found that 16 had participated in interscholastic sports, 23 had served as officers of classes and clubs, and 18 had been in school plays during their high school years. This is an example of numerical data. 1.7 The “number of rotten apples per shipping crate” is an example of a qualitative variable. 1.8 The “thickness of a sheet of sheet metal” used in a manufacturing process is an example of a quantitative variable. 1.9 A representative sample is a sample obtained in such a way that all individuals had an equal chance of being selected. 1.10 The basic objectives of statistics are obtaining a sample, inspecting this sample, and then making inferences about the unknown characteristics of the population from which the sample was drawn.
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