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8.3 Sample Standard Deviation
Comparisons with the F-Test
The F-Test is used to compare two variances to determine if they are
significantly different. The way ShotStat is written, the values to
be compared are the standard deviations, which are internally converted
to the variances. The F-Test Window in ShotStat displays input boxes
for Samples A and B:
- Lot Number
- (optional) Free format description the user may wish
to use to identify the sample(s)
- Standard Deviation
- (required) standard deviation (square root of
variance) for each sample
- Number
- (required) the number of items/measurements made for each
sample; for example, a five round group has a Number of 5. Larger
numbers result in more reliable tests.
Under the Sample A and Sample B areas, ShotStat displays an input
box for:
- Significance Level
- (required) entered as a percentage, the desired
acceptable chance for ShotStat reporting that the samples are different
when they are actually, in fact, the same. This must be between 0.001
and 45, but generally, a value of 10, 5 or 2.5 will be used. The default
is 5%.
There are three command options available to the user:
- Compute
- performs the test; upon completion of the test, ShotStat
displays a message stating when the samples are probably the same
or probably different.
- Cancel
- cancels the F-Test Tool and closes the F-Test Window; all
entered data are lost
- Print
- after a test is performed, the option to print the current
data and results exists. ShotStat sends the output to the default
printer for the local computer. The ``Print'' command button is
not visible until a test is performed that can be printed.
Next: 9 Decimal Equivalents
Up: 8 Statistics Tools
Previous: 8.2 Sample Average Comparisons
Contents
John S. Riley, DSB Scientific Consulting