cosmetics company fills its best-selling 8-ounce jars of fac he machine is set to dispense a mean of 8.1 ounces per jar ncontrollable factors in the process can shift the mean awa desirable. such a case, the dispensing machine is stopped and recali

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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A cosmetics company fills its best-selling 8-ounce jars of facial cream by an automatic dispensing machine.
The machine is set to dispense a mean of 8.1 ounces per jar.
Uncontrollable factors in the process can shift the mean away from 8.1 and cause either underfill or overfill, both of which are
undesirable.
In such a case, the dispensing machine is stopped and recalibrated.
Regardless of the mean amount dispensed, the standard deviation of the amount dispensed always has value 0.22 ounce.
A quality control engineer routinely selects 30 jars from the assembly line to check the amounts filled.
On one occasion, the sample mean is 8.2 ounces and the sample standard deviation is 0.25 ounce.
The quality control engineer must determine if there is sufficient evidence in the sample to indicate, at the 0.05 level of significance,
that the machine should be recalibrated.
Let u denote the mean amount of facial cream being dispensed.
The engineer tests the hypotheses: Ho : = 8.1 versus H1 : H # 8.1.
The value of the relevant test statistic equals: | (Select)
( Select ]
( Select]
( Select ]
[Select )
equals 0.100.
equals 8.2.
equals 0.010.
equals
cannot be determined.
The p-value equals:
-0.00639
0.0285
0.00639
The rejection region'ror tne test is:
LIIE UIUI UI1-2.576 } an
equals 2.1909.
The conclusion from the test is: The data do not provide suffi v
>
Transcribed Image Text:A cosmetics company fills its best-selling 8-ounce jars of facial cream by an automatic dispensing machine. The machine is set to dispense a mean of 8.1 ounces per jar. Uncontrollable factors in the process can shift the mean away from 8.1 and cause either underfill or overfill, both of which are undesirable. In such a case, the dispensing machine is stopped and recalibrated. Regardless of the mean amount dispensed, the standard deviation of the amount dispensed always has value 0.22 ounce. A quality control engineer routinely selects 30 jars from the assembly line to check the amounts filled. On one occasion, the sample mean is 8.2 ounces and the sample standard deviation is 0.25 ounce. The quality control engineer must determine if there is sufficient evidence in the sample to indicate, at the 0.05 level of significance, that the machine should be recalibrated. Let u denote the mean amount of facial cream being dispensed. The engineer tests the hypotheses: Ho : = 8.1 versus H1 : H # 8.1. The value of the relevant test statistic equals: | (Select) ( Select ] ( Select] ( Select ] [Select ) equals 0.100. equals 8.2. equals 0.010. equals cannot be determined. The p-value equals: -0.00639 0.0285 0.00639 The rejection region'ror tne test is: LIIE UIUI UI1-2.576 } an equals 2.1909. The conclusion from the test is: The data do not provide suffi v >
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