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Values that represent a measurable quantity
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Quantitative Data
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The use of quality control techniques associated with a process
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Quality Assurance
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Measure of variation equal to the sum of the deviations of each value from the mean
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Mean Deviation
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Arithmetic average
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Mean
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Numbers or information describing some characteristic
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Data
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Measure of data scatter
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Data variation
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The difference between the samples
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Variance
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Degree of conformity of a measure to a standard value
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Accuracy
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Value that occurs most frequently
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Mode
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To monitor and control a process so that the quality of the output/product improves
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Process Control
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A subset of a sample space
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Event
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Categorical data graph %
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Pie Chart
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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 more consistent, monitoring the process, and improving the process to its best target value
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Statistical Process Control
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A set of all possible outcomes or event in an experiment that cannot be further broken down
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Sample Space
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The calculated likelihood that a given event will occur
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Probability
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An activity with observable results
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Experiment
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Bell-shaped probability distribution
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Normal Distribution
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Categorical data graph
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Bar Chart
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The result of an experiment
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Outcome
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Values that possess names or labels
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Qualitative Data
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The collection, evaluation, and interpretation of data
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Statistics
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The difference between the maximum and minimum dimensions allowed within the design of a product
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Tolerance
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Listing of data values along with their corresponding frequencies
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Frequency Distribution
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Amount of difference between a value and the mean
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Frequency distribution graph
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Histogram
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Middle value of a set of values arranged in order of magnitude
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Median
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The probability of satisfactory operation of the product in a given environment over a specified time interval
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Reliability
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The probability of an event occurring based upon other event probabilities
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Bayes' Theorem
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The square root of the variance
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Standard Deviation
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