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8.2 Sample Average Comparisons
with the T-Test
The T-Test is used to compare two averages to determine if they are
signficantly different. The T-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)
- Average
- (required) mean for each sample
- 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 T-Test Tool and closes the T-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: 8.3 Sample Standard Deviation
Up: 8 Statistics Tools
Previous: 8.1 Introduction
Contents
John S. Riley, DSB Scientific Consulting