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20 Cards in this Set

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