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Mathematics 12 Online
OpenStudy (anonymous):

I need Statistics help please! a test is made of Ho: u=4 versus H1: u>4 using a sample size of 25. The population standard deviation is unknown. Find the critical value of the test statistic if the significance level is 0.05

OpenStudy (anonymous):

Hey! Do you know how to do this?

OpenStudy (amistre64):

any ideas from you? what do you recall a test statistic defines?

OpenStudy (amistre64):

and it seems like there might be some information missing from your posting. a sample deviation would be helpful ....

OpenStudy (anonymous):

That's the reason I don't know what to do.

OpenStudy (amistre64):

hmm i know ... usually we have some of the sample stats to play with. z = (Ho - sample mean)/(s/sqrt(n)) if n < 30 we usually do t test with the same parameters, and look up the table under n-1, and the significant value. maybe, we are to look up in the t distribution under t=24, looks one tailed to me, at a=.005

OpenStudy (amistre64):

do you have a t table?

OpenStudy (amistre64):

dF = 24, one tailed, a=.05

OpenStudy (amistre64):

ok, yeah, the critical value is the point at which we define the rejection/acceptance boundary for the hypothesis test.

OpenStudy (anonymous):

Yes i do have t table

OpenStudy (amistre64):

then since our sample is 25, do you agree that we want the row for 24?

OpenStudy (amistre64):

and since our alternate hypothesis is 'greater than" 4 .. then we are concerned with one side only .... the right side. a one tailed region

OpenStudy (anonymous):

Yes.

OpenStudy (amistre64):

then its just a matter of matching row and col ... and reading the feild value

OpenStudy (anonymous):

okay but how would i put this into a formula

OpenStudy (amistre64):

why would you need to for this question?

OpenStudy (amistre64):

all this value does is define a boundary for us ... the actual t value we get from the test statistic will be compared to this "critical" value.

OpenStudy (anonymous):

Wait is the t value the critical value?

OpenStudy (amistre64):

there are 2 values we are concerned with when testing a hypothesis. the critical value defines our region for rejection/acceptance the critical value is like a fence in a baseball field. anything that lands beyond it, is a homerun (reject the null); anything that lands inside of it is fair play (fail to reject the null). the actual value of our test statistic ... is where the baseball actually lands.

OpenStudy (amistre64):

this questions asks us to define the fence line

OpenStudy (amistre64):

what did you get from the table?

OpenStudy (anonymous):

t=1.711

OpenStudy (amistre64):

good, i got that as well now, our critical value is 1.711 if the ACTUAL test statistic we calculate is more than this: t > 1.711, then we are out of bounds and we (reject the null hypothesis) if the ACTUAL test statistic we calculate is equal to or less than this: t <= 1.711, then we are in bounds and we (fail-to-reject the null hypothesis)

OpenStudy (anonymous):

okay thank you so much!!

OpenStudy (amistre64):

youre welcome

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