A manufacturer considers his production process to be out of control when defects exceed 3%. In a random sample of 85 items, the defect rate is 5.9% but the manufacturer claims that this is only a sample fluctuation and production is not really out of control. How many populations? 01 02 What is the parameter? О Меan O standard Deviation O Variance O Difference between Means O Proportion

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What is the test statistic?
(71 – 72) – (41 – µ2)
OF
Ot =
V T1
p - P
(71
T2) – (41 – 42)
(Р, — Рә) — (Рі — Р)
Oz
Oz =
(E1 – F2) – (41 – µ2)
Ot
Ot =
Ota
8d
(n – 1)? . 2
o2
+
||
||
Transcribed Image Text:What is the test statistic? (71 – 72) – (41 – µ2) OF Ot = V T1 p - P (71 T2) – (41 – 42) (Р, — Рә) — (Рі — Р) Oz Oz = (E1 – F2) – (41 – µ2) Ot Ot = Ota 8d (n – 1)? . 2 o2 + || ||
A manufacturer considers his production process to be out of control when defects exceed 3%. In a random
sample of 85 items, the defect rate is 5.9% but the manufacturer claims that this is only a sample
fluctuation and production is not really out of control.
How many populations?
01
What is the parameter?
О Мean
Standard Deviation
O ariance
O Difference between Means
O Proportion
Transcribed Image Text:A manufacturer considers his production process to be out of control when defects exceed 3%. In a random sample of 85 items, the defect rate is 5.9% but the manufacturer claims that this is only a sample fluctuation and production is not really out of control. How many populations? 01 What is the parameter? О Мean Standard Deviation O ariance O Difference between Means O Proportion
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