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We expressed the criticality of understanding hypothesis testing and discussed
examples of null hypotheses involving testing of hypotheses about one or more
population means. Next we moved into an explanation of ANOVA and types of test
errors, Type I and Type II errors.
Experimental design and its objective in building the transfer function model were
explained. Normal distribution and normality assumption were explained, and an
answer to how we know the consequences of violating the normality assumption was
discussed.
REFERENCES
CMMI Development Team (2001), Capability Maturity Model—Integrated, Version 1.1, Soft-
ware Engineering Institute, Pittsburgh, PA.
Demillo, R.A. (1991), “Progress Toward Automated Software Testing,” Proceedings of the
13th International Conference on Software Engineering, p. 180.
Emam, K. and Card, D. (Eds.) (2002), ISO/IEC Std 15939, Software Measurement Process.
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