Please answer with details The population mean of weekly veg

Please answer with details

The population mean of weekly vegetable package sales is mu =3,000. The sample mean x-bar= s = 4,500, n=150. (1) Test H(O): mu =3,000, H(1): mu > 3,000 for x-bar =3,900, alpha =0.05: (2) Test H(0): mu =3,000, H(1): mu

Solution

(1) It is a right-tailed test.

Given a=0.05, the critical value is Z(0.05) =1.645 (from standard normal table)

The rejection region is if Z>1.645, we reject the null hypothesis.

The test statisitc is

Z=(xbar-mu)/(s/vn)

=(3900-3000)/(4500/sqrt(150))

=2.45

Since Z=2.45 is larger than 1.645, we reject the null hypothesis.

So we can conclude that mu>3000

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(2)It is a left-tailed test.

Given a=0.1, the critical value is Z(0.1) =-1.28 (from standard normal table)

The rejection region is if Z<-1.28, we reject the null hypothesis.

The test statisitc is

Z=(xbar-mu)/(s/vn)

=(2300-3000)/(4500/sqrt(150))

=-1.91

Since Z=-1.91 is less than -1.28, we reject the null hypothesis.

So we can conclude that mu<3000

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(3) It is a two-tailed test.

Given a=0.01, the critical value is Z(0.005) =2.58 or -2.58 (from standard normal table)

The rejection region is if Z>2.58 or Z<-2.58, we reject the null hypothesis.

The test statisitc is

Z=(xbar-mu)/(s/vn)

=(4000-3000)/(4500/sqrt(150))

=2.72

Since Z=2.72 is larger than 2.58, we reject the null hypothesis.

So we can conclude that mu not equal to 3000

Please answer with details The population mean of weekly vegetable package sales is mu =3,000. The sample mean x-bar= s = 4,500, n=150. (1) Test H(O): mu =3,000

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