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20 Cards in this Set
- Front
- Back
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Statistics
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The science of conducting studies to collect, organize, summarize, analyze, and draw conclusions from data.
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Variable
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A characteristic or attribute that can assume different values.
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Data
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Values that the varialbes can assume.
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Random Variable
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Variable whose values are determined by chance.
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Data Set
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A collection of data values.
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Datum or data value
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Each value in the data set.
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Descriptive statistics
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Consists of the collection, organization, summarization, and presentation of data.
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Inferential Statistics
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Consists of generalizing from samples to populations, performing estimations and hypothesis tests, determining relationships among variables, and making predictions.
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Population
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Consists of all subjects (human or otherwise) that are being studied.
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Sample
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A group of subjects selected from a population.
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Hypothesis Testing
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A decision-making process for evaluation claims about a population, based on information obtained from samples.
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Qualitative Variable
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Are variables that can be placed into distinct categories, according to some characteristics or attribute.
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Quantitative Variables
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Are numerical and can be ordered or ranked.
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Discrete Variables
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Assumes values that can be counted.
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Continuous Variables
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Can assume an infinite number of values between any two specific values. They are obtained by measuring. They often include fractions and decimals.
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Nominal Level of Measurement
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Classifies data into mutually exclusive (nonoverlapping), exhausting categories in which no order or ranking can be imposed on the data.
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Ordinal Level of Measurement
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Classifies data into categories that can be ranked; however, precise differences between the ranks do not exist.
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Interval Level of Measurement
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Ranks data, and precise differences between units of measure do exist;however, there is no meaningful zero.
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Ration Level of Measurement
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Possesses all the characteristics of interval measurement, and there exists a true zero.
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Random Samples
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Selected by using chance methods or random numbers.
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