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Statistics
Science of collecting, Organizing, analyzing, and interpreting data in order to make conclusions.
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Data
- Information that is collected
- i.e. measurements, counts, responses, and observations
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Population vs Sample
All vs Some; sample is a subset of population
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Parameter
numerical description of a population characteristic
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Statistic
numerical description of a sample characteristic
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Descriptive statistics
summarizes and diplays the findings
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Inferential Statistics
conclusions based on descriptive statistics
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Qualitative
labels, names, qualities, attributes
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Quantitative
numerical measures and counts
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nominal
Qualitative data; includes names, attributes, etc. No meaningful calculations can be made
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ordinal
Qualitative or Quantitative; can order or rank data; no meaningful calculations can be made
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interval
Quantitative data; zero is not an inherent zero, only a position on a scale. Meaningful differences can be found.
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ratio
Quantitative data; zero is an inherent zero; values below zero wouldn't make sense to discuss. Meaningful ratios and/or differences can be found.
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Survey
collecting responses
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observation
observe; do not change any existing conditions
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experiment
conditions are changed in some way, or treatment is applied.
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blinding experiment
those a part of the study don't know what group they are in.
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Double Blind
individuals don't know what group they are in, and experimenter doesn't know either. (however, someone does have to know)
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simulation
used when it is too dangerous, costly, or impossible t use a different method.
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Random
no rules, just randomly pick a sample.
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systematic
pick every nth individual/object to create sample
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convenience
out of convenience, o to one location and collect information to use as sample
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cluster
pick one or more subgroup, but not all and collect all info from the subgroup(s) to create the sample.
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stratified
collect some info from all subgroups in order to create a sample.
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