Question

What is the importance of having sound hypotheses while interpreting the data collected?

a.

It is essential to have sound hypotheses while interpreting the data collected to avoid drawing incorrect conclusions

b.

It is not important as long as data is collected and various kinds of curve-fitting techniques are applied

c.

It is not important as long as a correlation is found between complexity figures and the number of defects found

d.

None of the above

Posted under Quality Management Software Engineering

Answer: (a).It is essential to have sound hypotheses while interpreting the data collected to avoid drawing incorrect conclusions Explanation:In order to be able to properly interpret the trends observed from the data collected, they should be backed by sound hypotheses. Without sound hypotheses, it is easy to draw incorrect conclusions and make unwarranted assumptions about the data.

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