the data is very long as it is 4 colums of 30 numbers each but perhaps what i am looking for is a boost in terms of how to conduct this problem

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the data is very long as it is 4 colums of 30 numbers each but perhaps what i am looking for is a boost in terms of how to conduct this problem

the data is very long as it is 4 colums of 30 numbers each but perhaps what i am looking for is a boost in terms of how to conduct this problem

i must provide the test statistic as well as the p-value for each test

sample 1 data

xbar- 11.96

Sx-.220

and determins what action if any should be taken

sample 1 data

xbar- 11.96

Sx-.220

and determins what action if any should be taken

For example,

H0: Mu=Constant

H1: Mu does not equal this Constant

Sampling distribution: t (df = N-1) and obtain the associated critical value

for example alpha = 0.05.

t = (Xbar - Mu) / (Sx/Sqrt[N])

where Mu is the specified constant given under H0.

You're decision rule is to reject or "fail to reject" H0 if the computed t-statistic exceeds the critiical value (in absolute value). This is the so-called "action" that you're referring to.

Note: You cannot obtain a p-value by hand calculation in this case. This requires numerical integration techniques...i.e. you need a computer algorithm to do this e.g. SPSS, EXCEL, Minitab, etc.

Mkay.

Look, you're not defining your hypothesis. This is important.

For example,

H0: Mu=Constant

H1: Mu does not equal this Constant

Sampling distribution: t (df = N-1) and obtain the associated critical value

for example alpha = 0.05.

t = (Xbar - Mu) / (Sx/Sqrt[N])

where Mu is the specified constant given under H0.

You're decision rule is to reject or "fail to reject" H0 if the computed t-statistic exceeds the critiical value (in absolute value). This is the so-called "action" that you're referring to.

Note: You cannot obtain a p-value by hand calculation in this case. This requires numerical integration techniques...i.e. you need a computer algorithm to do this e.g. SPSS, EXCEL, Minitab, etc.

Mkay.

For example,

H0: Mu=Constant

H1: Mu does not equal this Constant

Sampling distribution: t (df = N-1) and obtain the associated critical value

for example alpha = 0.05.

t = (Xbar - Mu) / (Sx/Sqrt[N])

where Mu is the specified constant given under H0.

You're decision rule is to reject or "fail to reject" H0 if the computed t-statistic exceeds the critiical value (in absolute value). This is the so-called "action" that you're referring to.

Note: You cannot obtain a p-value by hand calculation in this case. This requires numerical integration techniques...i.e. you need a computer algorithm to do this e.g. SPSS, EXCEL, Minitab, etc.

Mkay.

perhaps if i restate the problem from the begging

conduct a hypothesis test for each sample at the .01 level of significane and what action if any should be taken provide the test statistice and the pvalue for each sample

for sample 1

the xbar caculated is 11.96

and s caculated is .220

can you please include the formula or the steps required to ge tthe test statistic and the p value is derived from the T table or ?

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