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Evaluate the following generalization(s), identifying sample, population, attribute of interest, and the extent to which the claims involved are knowable. Consider carefully the size and diversification of the sample and the extent to which the population differs or may differ from the sample; remember, what's important is that the sample be representative.
A random survey of 1,000 callers to a drug hotline number produced the following results: 535 of the callers were heavy users of either cocaine freebase, amphetamines, or heroin; 220 were "recreational" users of cocaine or hashish; 92 were not drug users at all; and the remainder refused to answer the survey questions. This should put to rest the claim that most people who take drugs are of the occasional, "recreational" type.
Ordinal Data
Ordinal data is a type of categorical data with a set order or scale to the possible values, but without a consistent difference between each value.
Quantitative Data
This refers to numerical data that can be measured and quantified, representing quantities, amounts, or levels.
Ordinal Data
Data that can be categorized and ranked; however, the intervals between the categories are not necessarily equal.
Nominal Variable
A categorical variable for which different values represent different categories without any intrinsic ranking order.
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