A wholesaler has recently developed a computerized sales
invoicing system. Prior to implementing this system, a manual
system was used. The distribution of the number of errors per
invoice for the manual system is as follows:
Errors per Invoice | 0 | 1 | 2 | 3 | More Than 3 |
Percentage of Invoices | 82% | 8% | 4% | 4% | 2% |
After implementation of the computerized system, a random sample of
500 invoices gives the following error distribution:
Errors per Invoice | 0 | 1 | 2 | 3 | More Than 3 |
Number of Invoices | 465 | 16 | 10 | 6 | 3 |
pi | Ei | fi | (f – E) ^ 2/E | ||
0.82 | 410 | 465 | 7.3780 | ||
0.08 | 40 | 16 | 14.4000 | ||
0.04 | 20 | 10 | 5.0000 | ||
0.04 | 20 | 6 | 9.8000 | ||
0.02 | 10 | 3 | 4.9000 | ||
Chi-Square | 41.47800 | p-value 0.0000001096 | |||
(a) Show that it is appropriate to carry out a
chi-square test using these data.
Each Ei ≥
(b) Use the Excel output shown above to determine whether the error percentages for the computerized system differ from those for the manual system at the .05 level of significance. What do you conclude?
(Click to select)Do not rejectReject H0: Conclude systems (Click to select)not differdiffer.
(a)
It is appropriate to carry out a chi - square test using these data because
Each Ei 5 as follows:
Expected values:
(b)
Since p - value = 0.00000001096 is less than = 0.05, the difference is significant. Reject null hypothesis.
Conclusion:
The data support the claim that the error percentages for the
computerized system differ from those for the manual system at the
0.05 level of significance.
So,
Correct option:
Reject H0.
Conclude systems differ.
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