A machine used to fill​ gallon-sized paint cans is regulated so that the amount of paint dispensed has a mean of 137 ounces and a standard deviation of 0.30 ounces. You randomly select 45 cans and carefully measure the contents. The sample mean of the cans is 136.9 ounces. Does the machine need to be​ reset? Explain your reasoning.

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Answer:

Step-by-step explanation:

Let X be the amount of paint dispensed by a machine used to fill gallon=sized paint cans.

X is Normal(137, 0.30)

Sample size = 45

Sample std error = 0.30/sqrt 45 =0.0447

x bar = 136.9

Create hypotheses as:

H0: sample mean = 137

Ha: sample mean not equal to 137

(Two tailed test)

Test statistic = (136.9-137)/0.0447

=-2.237

p value = 0.0257

Since p >0.01, at 99% level we accept null hypothesis

Machine need not be reset.

The machine need not be reset.

Calculation of the machine:

Here we assume  X be the amount of paint dispensed by a machine used to fill gallon

Now

X is Normal(137, 0.30)

Sample size = 45

So,

Sample std error = 0.30/sqrt 45 =0.0447

Now

x bar = 136.9

Now we have to Create hypotheses :

H0: sample mean = 137

Ha: sample mean not equal to 137

Now

(Two tailed test)

Test statistic =[tex](136.9-137)\div 0.0447[/tex]

=-2.237

p value = 0.0257

Since p >0.01, at 99% level, so here we accept the null hypothesis.

Therefore, The machine need not be reset.

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