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*Individual observations *Subset of population *Selected so that population is accurately represented *Selected randomly *Purpose: inferences re. population
An estimation of a population parameter, determined by random sampling of that population |
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A collection of individual observations by a specific procedure and criteria to represent the population being sampled. A subset of the population, selected by random sampling, that is usually used to make inferences about the population in general. |
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A quantity or absolute measure of a central tendency to describe and define a characteristic of a population
Basically: a quantity which describes a population (not a sample) |
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a property of an individual or object that can assume two or more values, or one that varies in magnitude or amount.
Basically: an attribute of a system that can change (so better make sure it doesn't change when you're doing your experiment!) |
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a single score, reading, or observation of a variable. Symbolized by y1, y2, y3, y4, etc.
Basically: various individual values of a variable represented by y1, y2, etc. |
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The nearness of a measurement to the actual value of the variable being measured
Basically: correctness; how close to the bull's eye you got |
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closeness of repeated measurements of the same quantity. "Repeatability"
Basically: how close to each other your measurements were (regardless of how close to the bull's eye they were). |
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how often a particular value of a variable occurs within the sample
Basically: say you're measuring heights of men. they are 5'5, 5'8, 6'0, 6'0, 6'0, and 5'll. The FREQUENCY of 6'0 is 3. |
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the sum of all variates divided by the total number of variates in the sample |
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the sum of the square of the differences between each variate and the sample mean, divided by the sample size minus 1 |
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the square root of the variance |
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Standard Error of the Mean (SEM) |
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the standard deviation divided by the square root of the sample size |
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A measure of dispersion of a distribution around the mean; the distance between the lowest and highest data points |
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