In a goodness-of-fit test, the null hypothesis (no difference between sets of observed
and expected frequencies) is rejected when the ________________.
A. Computed chi-square is less than the critical value
B. Difference between the observed and expected frequencies is significantly large
C. Difference between the observed and expected frequencies is small
D. Difference between the observed and expected frequencies occurs by chance
A national manufacturer of ball bearings is experimenting with two different processes
for producing precision ball bearings. It is important that the diameters be as close as
possible to an industry standard. The output from each process is sampled and the
average error from the industry standard is measured in millimeters. The results are
presented next.
The researcher is interested in determining whether there is evidence that the two
processes yield different average errors. The population standard deviations are
unknown but are assumed equal. What is the computed value of t?
A. +2.797
B. -1.000