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confirmation testing or Re-Testing: After a defect is detected and fixed, the software should be retested to confirm that the original defect has been successfully removed. This is called Confirmation Testing or Re-Testing


Regression testing: Testing your software application when it undergoes a code change to ensure that the new code has not affected other parts of the software.
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Q: What is difference between regression and confirmation testing?
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Regression testing should be performed?

Regression testing should be performed:a) after the software has changedb) when the environment has changedA) more effective and compartable bcoz most probably always software chnages first then env.


What is the difference between alpha testing and acceptance testing?

Alpha testing is always performed by the developers at the software development site. acceptance testing is a test conducted to determine if the requirements of a specification or contract are met.


In testing for differences between the means of two related populations the null hypothesis is?

That there is no difference between the means for the two populations.


Difference between alpha testing and beta testing?

Alpha Testing is always performed at the time of Acceptance Testing when developers test the product and project to check whether it meets the user requirements or not.Beta Testing is always performed at the time when software product and project are marketed.


What is alpha in regression analysis?

Alpha is not generally used in regression analysis. Alpha in statistics is the significance level. If you use a TI 83/84 calculator, an "a" will be used for constants, but do not confuse a for alpha. Some may, in derivation formulas for regression, use alpha as a variable so that is the only item I can think of where alpha could be used in regression analysis. Added: Though not generally relevant when using regression for prediction, the significance level is important when using regression for hypothesis testing. Also, alpha is frequently and incorrectly confused with the constant "a" in the regression equation Y = a + bX where a is the intercept of the regression line and the Y axis. By convention, Greek letters in statistics are sometimes used when referring to a population rather than a sample. But unless you are explicitly referring to a population prediction, and your field of study follows this convention, "alpha" is not the correct term here.