5) A sample of 48 tools produced by a machine shows the following sequence of good (G) and defective (D) tools
G | G | G | G | G | G | D | D | G | G | G | G | G | G | G | G | | |
| G | G | D | D | D | D | G | G | G | G | G | G | D | G | G | G | |
| | G | G | G | G | G | G | D | D | G | G | G | G | G | D | G | G |
Test the randomness at the 0.05 significance level.
Solution:
The numbers of D’s and G’s are N1 = 10 and N2 = 38, respectively, and the number of runs is V = 11.
Thus the mean and variance are given by
2 (10) (38)
mv = _______ +1 = 16.83
10 + 38
s2v = 2 (10) (38) [2 (10) (38) - 10 - 38]
_________________
(10 + 38)2 (10 + 38 - 1)
= 4.997
So that s v = 2.235
For a two-tailed test at the 0.05 level, we would accept the Hypothesis Ho of randomness if -1.96 < z < 1.96 and would reject it otherwise since the z score corresponding to v = 11 is
V - mv 11 - 16.83
Z = ______ = ________ = -2.61
sv 2,235
-2.61 < -1.96, we can reject H0 at the 0.05. The test shows that there are too few runs, level. indicating a clustering (or bunching) of defective tools. In other words - there seems to be a trend pattern in the production of defective tools. Further examination of the production process is warranted.
No comments:
Post a Comment