CAN SOMEONE PLEASE HELP?!! Need help with the P-value of part e. see attachment.
@jim_thompson5910 Can you help with this PRETTY PLEASE? :)
does it make any mention anywhere that the population variances are assumed to be equal?
you mean like normally distributed?
no i mean does it say anywhere that the two distributions are assumed to have equal variances?
no i'm not seeing that anywhere.
hmm
I'm getting the example so maybe that can help.
ok let me have a look at that please
ok it doesn't say it explicitly, but they're implying that the variances are not assumed to be equal
they should have stated this in the beginning because it drastically affects the answer
yah it's not the first time they've left an in portent piece of info out. That happens a lot.
anyways, it's a long drawn out process, so here we go...
We find the p value following these 3 steps 1) Find the standard error SE 2) use the SE to find the test statistic t 3) use the test statistic to find the p value (it's the area under the curve to the right of t) ------------------------------------------------------------------------- Standard Error (SE)(Assuming the population variances are NOT equal): SE = sqrt( ((s1)^2)/(n1) + ((s2)^2)/(n2) ) SE = sqrt( ((9.5)^2)/(28) + ((11)^2)/(27) ) SE = sqrt( (90.25)/(28) + (121)/(27) ) SE = sqrt( 3.22321428571429 + 4.48148148148148 ) SE = sqrt( 7.70469576719577 ) SE = 2.77573337465899 The standard error is SE = 2.77573337465899 ------------------------------------------------------------------------- Test Statistic t=(observed difference - expected difference)/(Standard Error) t=((xbar1-xbar2)-(mu1-mu2))/(SE) t=((71.9-69.1)-0)/(2.77573337465899) t=(2.8)/(2.77573337465899) t=1.00874241941339 t=1.0087 The test statistic is roughly t=1.0087 ------------------------------------------------------------------------- Now find the area under the T distribution curve (df = 27 - 1 = 26) to the right of t=1.0087 We do this by using a table or a calculator. I'm going to use a calculator (this one: http://www.danielsoper.com/statcalc3/calc.aspx?id=41) When you type in 26 for the degrees of freedom and 1.0087, you'll get 0.83879281 as the result. This is the area under the curve to the left of t = 1.0087, but we want it to the right, so we subtract it from 1 to get: 1 - 0.83879281 0.16120719 0.161 So the p value is 0.161
OOHH ok that actually made sense!
the p value is ____ the significance level is _____ Rule: if the p value is less than the significance level, you reject Ho if the p value is greater than or equal to the significance level, you fail to reject Ho
once you make your decision (to reject or fail to reject Ho) tell me what the conclusion is
so i don't reject it cause the p-value is greater then a=0.05 right?
good, you fail to reject Ho so you have no choice but to "accept" Ho
what does this mean in terms of the final conclusion?
well i don't know if it's A or C.
what is the null hypothesis
I think it's C.
what is the null hypothesis
It's what i got for (e) B
I know, i want you to read it out for me
or write it out for me
lol fine. 1 sec.
you'll probably see the answer as you're writing it out
H0:Ufall=Uspring VS H1:Ufall>Uspring
ok so if we fail to reject Ho, or "accept" Ho then we "accept" that Ufall=Uspring
this tells us that the means of the two classes (fall and spring) are not statistically different
so is there an improvement when it comes to the online component?
no?
you are correct, there is no statistical difference ---> no statistical improvement
so there's isn't sufficient evidence that the online homework is effective in raising final exam scores
if there was sufficient evidence that the online homework is effective in raising final exam scores, this would have to mean that Ufall > Uspring which would make you reject Ho
but since we didn't reject Ho, we don't have enough evidence to do so
YAY it says it's right!
yes that's good because it definitely is correct lol
then again, this system is a bit strange (ex: leaving out critical info), so who knows
is it the same thing for this?
yes, but this time you're finding the area to the left of t
UGH they can never make it simple can they? lol
unfortunately no
ok so i do SE = sqrt( ((s1)^2)/(n1) + ((s2)^2)/(n2) ) and t=((xbar1-xbar2)-(mu1-mu2))/(SE)?
correct
I got SE=3.446286454 & t=-3.191841464
getting the same for both
now use t to find the p value
what was the name of the calculator you used on here? http://www.danielsoper.com/statcalc3/default.aspx
i got 0.00195883
so the P-value will be 0.002?
Got it!!
the p-value is less then a=0.02 so i reject it.
let me check
lol i already got it. it says it's right.
Do you have time for at least one more so i can hand this homework in with at least a 90%?
it's another P-value thing with a different kind data table.
same basic steps, but now you're going back to the right of t
how tho? there are more numbers so how do i start to solve it?
those values are used to find xbar and s (standard deviation) but that's given above the data sets
so they did some of the work for you
oh i see the xbarA & B and the Sa & b. what do i do now?
those are the values you use to determine SE and t
like you did before
but i don't see a value for N1 or N2.
N1 is the number of numbers in the first set N2 is the number of numbers in the second set
ooohh ok
SE=6.407703697 & t=0.2809118656
let me confirm
hmm I'm getting SE = 0.796031825159438
you got n1 = 30 and n2 = 30 right?
ok i'll try again. but yah i'm using n1 & n2=30
ok now t=2.261216126
so the p-value=0.016?
yep t=2.26121612617621
YAY!! it says it's right!
getting the same thing, nice work
THANK YOU!!!
yw
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