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My company has one user (me) with a version of SAS JMP statistical software. This software can be validated by running some NIST-traceable tests supplied by SAS.
I'd like to enable other engineers in the company to use Excel 2003 or 2007 for their statistical analyses, if possible, to avoid buying a separate statistical software package for each user. There are some pretty powerful add-in packages out there which are either free or cheap. I figure I might be able to use my validated JMP software for this purpose. All I need are some sample data sets, preferably NIST-traceable, which I can use to perform some simple to medium-complexity statistical tests which we may encounter while doing process validation and other manufacturing-related tasks like Gauge R&R, SPC, etc. We are a medical device company with a class II device, so I'd like it to hold up in an ISO or FDA audit.
These tests would include:
descriptive statistics (mean, std. dev, histograms, box plots, etc.)
tests for normality
t-tests
ANOVA
f-test
chi-square test
linear regression
random sampling generator
hypothesis tests
Wilcoxon signed rank and rank sum tests
etc.
If I run the tests on Excel and JMP and get the same result, that should probably suffice for my validation.
Does anyone have any thoughts about whether this is a good approach, and where I can find such sample data sets?
Thanks.
I'd like to enable other engineers in the company to use Excel 2003 or 2007 for their statistical analyses, if possible, to avoid buying a separate statistical software package for each user. There are some pretty powerful add-in packages out there which are either free or cheap. I figure I might be able to use my validated JMP software for this purpose. All I need are some sample data sets, preferably NIST-traceable, which I can use to perform some simple to medium-complexity statistical tests which we may encounter while doing process validation and other manufacturing-related tasks like Gauge R&R, SPC, etc. We are a medical device company with a class II device, so I'd like it to hold up in an ISO or FDA audit.
These tests would include:
descriptive statistics (mean, std. dev, histograms, box plots, etc.)
tests for normality
t-tests
ANOVA
f-test
chi-square test
linear regression
random sampling generator
hypothesis tests
Wilcoxon signed rank and rank sum tests
etc.
If I run the tests on Excel and JMP and get the same result, that should probably suffice for my validation.
Does anyone have any thoughts about whether this is a good approach, and where I can find such sample data sets?
Thanks.
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