Lesson 4-1 Key Terms POE

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Squishmallow
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Last updated: April 6, 2023
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First submittedApril 4, 2023
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An activity with observable results
Experiment
Measure of variation equal to the sum of the deviations of each value from the mean
Mean Deviation
A set of all possible outcomes or event in an experiment that cannot be further broken down
Sample Space
Bell-shaped probability distribution
Normal Distribution
Categorical data graph
Bar Chart
The probability of satisfactory operation of the product in a given environment over a specified time interval
Reliability
Frequency distribution graph
Histogram
Amount of difference between a value and the mean
Deviation
The use of quality control techniques associated with a process
Quality Assurance
Degree of conformity of a measure to a standard value
Accuracy
Categorical data graph %
Pie Chart
Value that occurs most frequently
Mode
Arithmetic average
Mean
The difference between the samples
Variance
A subset of a sample space
Event
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
Statistical Process Control
The square root of the variance
Standard Deviation
Numbers or information describing some characteristic
Data
The calculated likelihood that a given event will occur
Probability
Measure of data scatter
Data variation
Values that represent a measurable quantity
Quantitative Data
The probability of an event occurring based upon other event probabilities
Bayes' Theorem
Listing of data values along with their corresponding frequencies
Frequency Distribution
The collection, evaluation, and interpretation of data
Statistics
Middle value of a set of values arranged in order of magnitude
Median
The result of an experiment
Outcome
The difference between the maximum and minimum dimensions allowed within the design of a product
Tolerance
To monitor and control a process so that the quality of the output/product improves
Process Control
Values that possess names or labels
Qualitative Data
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