A teacher wants to compare the mean geology scores of two different classes. She is testing the null hypothesis that there is no difference in the population mean scores of the two classes. The difference of the sample means is 51.4. If the standard deviation of the distribution of the difference of sample means is 16.66, what is the 95% confidence interval for the population mean difference? between -33.2 and +33.2 between -49.9 and +49.9 between -102.8 and +102.8 between -154.2 and +154.2
@perl
@SolomonZelman
the z score of the 95% confidence interval is 1.96
so you want 51.4 +/- 1.96 * 16.66
interval : ( 51.4 - 1.96*16.66 , 51.5 + 1.96 * 16.66 )
but thats not one of the choices given
18.75 , 84.15 ,
yes thats what i got
hmmm
wow I don't think this is done
none of the choices you gave make sense , though
you sure you copied this correctly
@nincompoop do you agree with my approach, i am not completely certain.
agreed
thx ^^
can we try this with a different approach I don't think it is as straight-forward
right, thats why i was uncertain. also there isnt much information given, such as the size of the samples
I am thinking of solving it based on the MSE given 16.66 if that is even possible
ye
its possible
LAUGHING OUT LOUD
there might be some caveat in the directions or something, assume such and such
we're going to assume that our sample sizes are the same \(n_1 = n_2 \)
ok
now we need the variance ... LAUGHING OUT LOUD wow this is getting messier
haha, yes :)
and the squared bias of the estimator?
is 16.66 in percent?
nope, just a number i believe
this is weird I am just going to go back to agreeing with your first solution and not beat my head on this one
he has weird choices and I thought I can find justifications for that HAHA
:) most of the questions he asked seemed odd, i am starting to wonder about this
but i don't have enough experience to say this definitively
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