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Stats terminology
Stats terminology
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30 Terms
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Statistics
methods used to measure certain aspects of nature and quantify their uncertainty and test hypotheses about them
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Population
The group of interest
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Sample
Subset/section of the population
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Sample Unit
subjects/replicates; individuals or groups that make up the population
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Parameter
a quantity associated with a population
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Estimation
inferring an unknown quantity of a population from a sample
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Sampling error
the difference between the estimated value and the true parameter value
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Precision
Having a low sampling error
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Bias
a systematic difference between the estimates and the true parameter value
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Accuracy
Having low bias
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Random sample
* has an equal chance of being sampled
* independent
* reduce bias
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Sample of Convenience
a sample of individuals that are easily accessible to the researcher
* biased
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Volunteer Bias
systemic difference between the pool of volunteers and the population to which they belong
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Variable
a characteristic that varies among individuals
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Data
Raw measurements of values of one or more variables from the individual in a sample
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Categorical Variables
Define membership in a group
* male/female
* size class
* Nominal or ordinal
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Nominal
no order to the categories
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Ordinal
order but no magnitude
* egg, larvae, juvenile, subadult, adult
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Numerical Variables
quantitative measurements of magnitude
* Continuous or Discrete
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Continuous
can take any real number value
* temperature
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Discrete
only take integer values
* number of offspring
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Hypothesis testing
determining how well a hypothesis about the population parameters fits the data from a sample
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Null Hypothesis (Ho)
hypothesis stating no change
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Experimental Studies
researcher assigns a random treatment to each individual
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Observational Studies
researcher has no control over which units fall into which groups
* can only determine associations
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Explanatory
a change that predicts or affects the other variable
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Response variable
affected by the explanatory variable
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Probability distribution
distribution of a variable in the whole population
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Normal Distribution
theoretical probability distribution
* symmetrical bell
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Skew
measures whether data are symmetrical or spread out to one side
* Right/Left skew → side with longer tail