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'''Using the Life Comparison Tool to Compare Two Designs'''
'''Using the Life Comparison Tool to Compare Two Designs'''


<includeonly>Using the same data set from the contour plot example, use Weibull++'s Life Comparison tool to estimate the probability that units from the new design will outlast units from the old design.
<includeonly>Using the same data set from the contour plot example, use Weibull++'s Life Comparison tool to estimate the probability that the units from the new design will outlast the units from the old design.


</includeonly><noinclude>Using the following data sets, use Weibull++'s Life Comparison tool to estimate the probability that the units from the new design will outlast the units from the old design.
</includeonly><noinclude>Using the following data sets, use Weibull++'s Life Comparison tool to estimate the probability that the units from the new design will outlast the units from the old design.
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</noinclude>
</noinclude>
Enter the data sets into two separate Weibull++ standard folios (or two separate data sheets within the same folio) and analyzing the two data sets using the two-parameter Weibull distribution and maximum likelihood estimation (MLE) method. Next, open the Life Comparison tool and select to compare the two data sets. The next figure shows the ''pdf'' curves and the result of the comparison.
First, enter the data sets into two separate Weibull++ standard folios (or two separate data sheets within the same folio) and analyze the data sets using the two-parameter Weibull distribution and maximum likelihood estimation (MLE) method. Next, open the Life Comparison tool and select to compare the two data sets. The next figure shows the ''pdf'' curves and the result of the comparison.





Revision as of 06:27, 15 August 2012

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This example appears in the Life Data Analysis Reference book.


Using the Life Comparison Tool to Compare Two Designs

Using the following data sets, use Weibull++'s Life Comparison tool to estimate the probability that the units from the new design will outlast the units from the old design.


[math]\displaystyle{ \overset{\text{Old Design}}{\mathop{\begin{array}{*{35}{l}} \text{2} & \text{2} & \text{3} & \text{4} & \text{6} & \text{9} \\ \text{9} & \text{11} & \text{17} & \text{17} & \text{19} & \text{21} \\ \text{23} & \text{28} & \text{33} & \text{34} & \text{34} & \text{37} \\ \text{38} & \text{40} & \text{45} & \text{55} & \text{56} & \text{57} \\ \text{67} & \text{76} & \text{90} & \text{115} & \text{126} & \text{197} \\ \end{array}}}\, }[/math]


[math]\displaystyle{ \overset{\text{New Design}}{\mathop{\begin{array}{*{35}{l}} \text{15} & \text{32} & \text{61} & \text{67} & \text{75} \\ \text{116} & \text{148} & \text{178} & \text{181} & \text{183} \\ \end{array}}}\, }[/math]


First, enter the data sets into two separate Weibull++ standard folios (or two separate data sheets within the same folio) and analyze the data sets using the two-parameter Weibull distribution and maximum likelihood estimation (MLE) method. Next, open the Life Comparison tool and select to compare the two data sets. The next figure shows the pdf curves and the result of the comparison.


Life Comparison Example 2 pdf Plot and Result.png


The comparison summary is given in the Results Panel window.


Life Comparison Example 2 pdf Result Summary.png