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Lesson 4.1 Statistics Key Terms

Key Terms

AB
AccuracyDegree of conformity of a measure to a standard value.
Bar ChartCategorical data graph.
Bayes’ TheoremThe probability of an event occurring based upon other event probabilities.
DataNumbers or information describing some characteristic.
Data VariationMeasure of data scatter.
DeviationAmount of difference between a value and the mean.
ExperimentAn activity with observable results.
EventA subset of a sample space.
Frequency DistributionListing of data values along with their corresponding frequencies.
Frequency PolygonsFrequency distribution graph.
HistogramFrequency distribution graph.
MeanArithmetic average.
Mean DeviationMeasure of variation equal to the sum of the deviations of each value from the mean.
MedianMiddle value of a set of values arranged in order of magnitude.
ModeThe value that occurs most frequently.
Normal DistributionBell-shaped probability distribution.
OutcomeThe result of an experiment.
Pie ChartCategorical data graph %.
ProbabilityThe calculated likelihood that a given event will occur.
Process ControlTo monitor and control a process so that the quality of the output/product improves.
Qualitative DataValues that possess names or labels.
Quantitative DataValues that represent a measurable quantity.
Quality AssuranceThe use of quality control techniques associated with a process.
ReliabilityThe probability of satisfactory operation of the product in a given environment over a specified time interval.
Sample SpaceA set of all possible outcomes or events in an experiment that cannot be further broken down.
Standard DeviationThe square root of the variance.
StatisticsThe collection, evaluation, and interpretation of data.
Statistical Process ControlSPC is a method of monitoring, controlling, and ideally improving a process through statistical analysis. Its four basic steps include measuring the process, eliminating variances in the process to make it consistent, monitoring the process, and improving the process to its best target value.
ToleranceThe difference between the maximum and minimum dimensions allowed within the design of a product.
VarianceThe difference between samples.


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