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19 Cards in this Set

  • Front
  • Back
Data
Observations(such as measurements, genders, survey responses) that have been collected.
Statistics
A collection of methods for planning studies and experiments, obtaining data, and then organizing, summarizing, presenting, analyzing, interpreting, and drawing conclusions about the entire population.
Population
The complete collection of all elements(scores, people, measurements, and so on) to be studied.
Census
The collection of data from every member of the population.
Sample
A subcollection of members selected from a population.
Parameter
A numerical measurement describing some characteristic of a population.
Statistic
A numerical example describing some characteristic of a sample.
Quantitative Data
Consist of numbers representing counts or measurements.
Qualitative Data
Can be separated into different categories that are distinguished by some nonnumeric characteristic.
Nominal level of measurement
Data that consists of names, labels, or categories only.
Ordinal level of measurement
Can be arranged in some order, but difference between data values either cannot be determined or are meaningless.
Interval level of measurement
Like the ordinal level, with the additional property that the difference between any two data values is meaningful.
Ratio level of measurement
There is a natural zero starting point. And is also like the interval level.
Voluntary Response Sample
One which the respondents themselves decide whether to be included.
Pictographs
Drawings of objects.
Confounding
Occurs in an experiment when you are not able to distinguish among the effects of different factors.
Random Sample
Members of the population are selected in such a way that each individual member has a chance of being selected.
Sampling error
The difference between a sample result and the true population result; such as error results from chance sample fluctuations.
Nonsampling error
Occurs when the sample data are incorrectly collected, recorded, or analyzed.