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OpenStudy (anonymous):
OpenStudy (anonymous):
@jim_thompson5910 can u help?
jimthompson5910 (jim_thompson5910):
to compute the test statistic, use this formula
t = (xbar - mu)/(s/sqrt(n))
OpenStudy (anonymous):
i got that its the answer i'm not understanding. like in the example. Where did the -1.04 come from?
jimthompson5910 (jim_thompson5910):
that's what you get when you type the previous step into a calculator and evaluate
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jimthompson5910 (jim_thompson5910):
they jumped a few steps, but hopefully you can use your calculator to get the same thing
OpenStudy (anonymous):
Well can u explain the steps there skipping cause that's i'm lost.
jimthompson5910 (jim_thompson5910):
ok one sec
OpenStudy (anonymous):
when i solve it i get 0.0496 so were how'd they get -1.04?
jimthompson5910 (jim_thompson5910):
oh you might be using different numbers
in the example, they're using different values for xbar and s
so that's probably why you're getting a different answer
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jimthompson5910 (jim_thompson5910):
but let me check
jimthompson5910 (jim_thompson5910):
no I'm getting -0.81607512375926, one sec while I type it out
jimthompson5910 (jim_thompson5910):
Test Statistic
\[\large t = \frac{\bar{x} - \mu}{\frac{s}{\sqrt{n}}}\]
\[\large t = \frac{37.4 - 40}{\frac{14.6}{\sqrt{21}}}\]
\[\large t = \frac{37.4 - 40}{\frac{14.6}{4.58257569495583}}\]
\[\large t = \frac{37.4 - 40}{3.1859811974455}\]
\[\large t = \frac{-2.6}{3.1859811974455}\]
\[\large t = -0.81607512375926\]
OpenStudy (anonymous):
i'm working on the example.
jimthompson5910 (jim_thompson5910):
ok hold on
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jimthompson5910 (jim_thompson5910):
From the example...
Test Statistic
\[\large t = \frac{\bar{x} - \mu}{\frac{s}{\sqrt{n}}}\]
\[\large t = \frac{47.5 - 50}{\frac{11}{\sqrt{21}}}\]
\[\large t = \frac{47.5 - 50}{\frac{11}{4.58257569495584}}\]
\[\large t = \frac{47.5 - 50}{2.40039679259592}\]
\[\large t = \frac{-2.5}{2.40039679259592}\]
\[\large t = -1.04149447612633\]
\[\large t = -1.04\]
OpenStudy (anonymous):
ok i'm gunna try to solve it like that to see if i get the same.
OpenStudy (anonymous):
well dang. lol i got -1.04. i guess i'm supposed to solve it step by step not all at once.
jimthompson5910 (jim_thompson5910):
you can jump to the end if you type it into your calculator properly
jimthompson5910 (jim_thompson5910):
you would type in
(47.5 - 50)/(11/sqrt(21))
to get -1.04149447612633
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OpenStudy (anonymous):
i was putting it into mathway.
jimthompson5910 (jim_thompson5910):
oh you're probably better off using a TI calculator or something like that
OpenStudy (anonymous):
ok so the answer for (37.4-40)/(14.6/sqrt(21))=-0.82?
jimthompson5910 (jim_thompson5910):
that's correct
OpenStudy (anonymous):
it's saying i'm wrong.
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jimthompson5910 (jim_thompson5910):
oh you need to go to 3 decimal places (not 2)
jimthompson5910 (jim_thompson5910):
so t = -0.816
OpenStudy (anonymous):
i did that -0.816
jimthompson5910 (jim_thompson5910):
hmm
jimthompson5910 (jim_thompson5910):
oh n = 22, not n = 21, so t = -0.835
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OpenStudy (anonymous):
oh lol ok it's right now
OpenStudy (anonymous):
now part b)
OpenStudy (anonymous):
i think it's 1.721
jimthompson5910 (jim_thompson5910):
one sec
jimthompson5910 (jim_thompson5910):
n = 22 still right?
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OpenStudy (anonymous):
OpenStudy (anonymous):
i thought u do n-1 so it be 22-1=21?
jimthompson5910 (jim_thompson5910):
ok thought so, yeah df = n-1
jimthompson5910 (jim_thompson5910):
and I'm getting 1.721 as well
jimthompson5910 (jim_thompson5910):
but it's negative since we have a left tail test
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OpenStudy (anonymous):
well it says it's wrong. :(
jimthompson5910 (jim_thompson5910):
yeah it should be -1.721 since it's a left tail test
OpenStudy (anonymous):
YAY that's right! lol
jimthompson5910 (jim_thompson5910):
lol great
OpenStudy (anonymous):
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jimthompson5910 (jim_thompson5910):
you got what
OpenStudy (anonymous):
i think it's B
jimthompson5910 (jim_thompson5910):
yep, you got it
jimthompson5910 (jim_thompson5910):
left tail test ----> rejection region (shown in blue) is in left tail to left of critical value
OpenStudy (anonymous):
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jimthompson5910 (jim_thompson5910):
what was the test statistic
what is the critical value
OpenStudy (anonymous):
-0.835 & -1.721?
jimthompson5910 (jim_thompson5910):
so is the test statistic
a) to the left of the critical value
or
b) to the right of the critical value
OpenStudy (anonymous):
a)?
jimthompson5910 (jim_thompson5910):
-0.835 is to the left of -1.721?
ie you're saying
-0.835 is less than -1.721?
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OpenStudy (anonymous):
UGH idk to the right then?
jimthompson5910 (jim_thompson5910):
think of a number line, the number -1.721 is further away from 0 than -0.835 is
so that's why -0.835 is to the right of -1.721
jimthompson5910 (jim_thompson5910):
since the test statistic does NOT lie in the critical region (aka the rejection region) you fail to reject the null hypothesis
jimthompson5910 (jim_thompson5910):
you only reject the null hypothesis if the test statistic lies in the blue critical region or rejection region
in this case, it does not, so you fail to reject the null
OpenStudy (anonymous):
ok so ether B or C right?
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OpenStudy (anonymous):
@jim_thompson5910
jimthompson5910 (jim_thompson5910):
do you reject the null hypothesis (based off what I just said)
OpenStudy (anonymous):
no?
OpenStudy (anonymous):
UGH i have know idea!
jimthompson5910 (jim_thompson5910):
you sound unsure, you're correct though
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jimthompson5910 (jim_thompson5910):
basically the value -0.835 is NOT in the blue rejection region
so that's why you don't reject the null
OpenStudy (anonymous):
so i IS ether B or C?
jimthompson5910 (jim_thompson5910):
it's C because you don't reject the null
jimthompson5910 (jim_thompson5910):
and you don't reject the null since it's not in the rejection region
OpenStudy (anonymous):
great! lol got time to help with another question?
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jimthompson5910 (jim_thompson5910):
sure
jimthompson5910 (jim_thompson5910):
one more
OpenStudy (anonymous):
THANK YOU!!
jimthompson5910 (jim_thompson5910):
np
OpenStudy (anonymous):
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jimthompson5910 (jim_thompson5910):
one min
OpenStudy (anonymous):
kk
jimthompson5910 (jim_thompson5910):
hmm I'm on the fence as to whether to use n = 148 or n = 500
because it makes a huge difference in the answer
jimthompson5910 (jim_thompson5910):
and is there an example given? if so, then I'm curious as to if it uses scientific notation
OpenStudy (anonymous):
Hows this?
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jimthompson5910 (jim_thompson5910):
yeah it's kinda lame because the answer is so small that it's practically 0
jimthompson5910 (jim_thompson5910):
I'm getting 1.1756 * 10^(-21) which is basically 0 since it's so small
so that's why I think you just enter 0.0000
OpenStudy (anonymous):
HAHAHA that was the answer! now can u explain exactly what u did to get that so i know next time.
jimthompson5910 (jim_thompson5910):
well I first found the test statistic, which is -9.938
then I found the area to the left of that test statistic using df = 499
the answer I got was 1.1756 * 10^(-21)
OpenStudy (anonymous):
ok that makes a little sense.
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jimthompson5910 (jim_thompson5910):
I used wolfram alpha's tcdf function to get the area
OpenStudy (anonymous):
lol i never understand how to use wolfram alpha.
OpenStudy (anonymous):
thank you for the help. I seem to need it a lot. lol odds are i'll be back on tomorrow.