Showing posts with label F. Show all posts
Showing posts with label F. Show all posts
F-value
Measurement of distance between individual distributions. As F goes up, P goes down (i.e., more confidence in there being a difference between two means). To calculate: (Mean Square of X / Mean Square of Error)
Full factorial DOE
A full factorial design of experiment (DOE) measures the response of every possible combination of factors and factor levels. These responses are analyzed to provide information about every main effect and every interaction effect. A full factorial DOE is practical when fewer than five factors are being investigated. Testing all combinations of factor levels becomes too expensive and time-consuming with five or more factors.
F-test
A statistical test that utilizes tabular values from the F distribution to assess significance.
frequency polygon
a graphical representation of the frequency of data that can be obtained by connecting adjacent midpoints of the tops of the bars in a histogram. It is easier to compare two polygons than it is to compare two histograms.
frequency distribution
for a sample drawn from a statistical population, the number of times each outcome or class outcomes is observed.
F-ratio
a ratio of two independent estimates of experimental error. If there isn't an effect, the ratio should be close to 1.
F-ratio
a ratio of two independent estimates of experimental error. If there isn't an effect, the ratio should be close to 1.
Full factorial DOE
A full factorial design of experiment (DOE) measures the response of every possible combination of factors and factor levels. These responses are analyzed to provide information about every main effect and every interaction effect. A full factorial DOE is practical when fewer than five factors are being investigated. Testing all combinations of factor levels becomes too expensive and time-consuming with five or more factors.
F-value (ANOVA)
Measurement of distance between individual distributions. As F goes up, P goes down (i.e., more confidence in there being a difference between two means). To calculate: (Mean Square of X / Mean Square of Error).
frequency polygon
a graphical representation of the frequency of data that can be obtained by connecting adjacent midpoints of the tops of the bars in a histogram. It is easier to compare two polygons than it is to compare two histograms.
requency distribution
for a sample drawn from a statistical population, the number of times each outcome or class outcomes is observed.
F-test
A statistical test that utilizes tabular values from the F distribution to assess significance.
F-ratio
a ratio of two independent estimates of experimental error. If there isn't an effect, the ratio should be close to 1.
Fractional Factorial DOE
A fractional factorial design of experiment (DOE) includes selected combinations of factors and levels. It is a carefully prescribed and representative subset of a full factorial design. A fractional factorial DOE is useful when the number of potential factors is relatively large because they reduce the total number of runs required. By reducing the number of runs, a fractional factorial DOE will not be able to evaluate the impact of some of the factors independently. In general, higher-order interactions are confounded with main effects or lower-order interactions. Because higher order interactions are rare, usually you can assume that their effect is minimal and that the observed effect is caused by the main effect or lower-level interaction.
Force Field Analysis
Identifies force and factors, both restraining and driving, effect the solution of an issue or problem so that the positives can be reinforced and/or negatives reduced or eliminated.
Flowchart
A flowchart is a graphical representation of a process, depicting inputs, outputs and units of activity. It represents the entire process at a high or detailed (depending on your use) level of observation, allowing analysis and optimization of workflow.
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