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31 Terms
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Data
Information coming from observations, counts, measurements, or responses.
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Statistics
The science of collecting, organizing, analyzing and interpreting data in order to make decisions.
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Population
The collection of all outcomes, responses, measurements, or counts that are of interest.
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Sample
A subset or a part of a population.
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Parameter
A numerical description of a population characteristic.
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Statistic
A numerical description of a sample characteristic.
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Descriptive Statistics
The branch of statistics that involves the organization, summarization, and display data.
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Inferential Statistics
The branch of statistics that involves using a sample to draw conclusions about a population. A basic tool in the study of inferential statistics is probability.
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Qualitative Data
Data that consists of attributes, labels, categories or non-numerical entries. (Categorical)
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Quantitative Data
Data that consists of numbers that are measurements or counts.
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Nominal
Data at this level are categorized using names, labels or qualities. No mathematical calculation can be made at this level. This is always Qualitative.
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Ordinal
Data at this level are arranged in order, or ranked, but the differences between the data are not meaningful. This can be Qualitative or Quantitative.
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Interval
Data at this level can be ordered, and meaningful differences between the data can be calculated. A zero entry simply represents a position on a scale. This data is always Quantitative.
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Ratio
Data at this level can be ordered, and ratios between the data can be calculated so that one value can be meaningfully expressed as a multiple of another. A zero will be a value. This data is always Quantitative.
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Univariate
Data collected with one variable.
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Bivariate
Data collected with two variables.
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Randomization
The process of randomly assigning subjects to different treatment groups.
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Replication
The process of randomly assigning subjects to different treatment groups.
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Experimental Study
The investigator assigns the individuals to the experimental group or the control group
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Observational Study
The assignments of individuals to the experimental group and control group are outside the control of the investigator
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Simulation
Uses a mathematical or physical model to reproduce the conditions of a situation or process. Often involves the use of computers. Allow you to study situations that are impractical or even dangerous to create in real life.
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Survey
An investigation of one or more characteristics of a population. Surveys are carried out on people by asking them questions. Commonly done by interview, internet, phone, or mail.
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Systematic Sample
A rule is used in selecting members of a population, such as selecting every other person.
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Convenience Sample
Easy to reach members of a population are selected.
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Random Sample
Each member of a population has an equal chance of being selected.
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Stratified Random Sample
The population is divided into distinct groups. Members are selected at random from each group.
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Cluster Sample
Samples all chosen from one location or zone.
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Representative Sample
Accurately reflects the characteristics of a population.
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Unbiased Sample
A representative sample of the population you want information about.
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Biased Sample
a sample that overrepresents or underrepresents part of the population you are sampling.