Carl conducted an experiment to determine if the there is a difference in mean body temperature between men and women. He found that the mean body temperature for men in the sample was 91.1 with a population standard deviation of 0.52 and the mean body temperature for women in the sample was 97.6 with a population standard deviation of 0.45.
Assuming the population of body temperatures for men and women is normally distributed, calculate the 98% confidence interval and the margin of error for the mean body temperature for both men and women. Using complete sentences, explain what these confidence intervals mean in the context of the problem.
please i need help
@mathmale
@uri
@precal
its all about finding the test statistic
umm how do you do that @amistre64
well, theres not much to go on, but the standard error, if thats what we can call it; would possibly be the sqrt, of the sum of the variances at best. i dont see any sample sizes given to determine any modificaiton to them
let me re read it calculate the 98% confidence interval and the margin of error for the mean body temperature for both men and women. do we want 2 seperate confidence intervals?
yes i think so
well, a confidence interval us centered about the mean, and has a zscore adjustment by a standard error, or standard deviation as the case may be
we are given the means, can you tell me the zscore related to a 98% confidence interval? itll have a 1% tail
hold on
is it 2.55?
i was thinking more like 2.33
did you try to table it, or do you hav elike a ti83?
at any rate, we can then use the setup mean +- 2.33(sd) to find the interval with, and the margin or error is just the 2.33(sd) part
i have a ti 84
but idk how to use it
ti84, same as a ti83. hit 2nd, vars, and pick the invnorm function
then just input your left tail percentage. in this case we have .9800 in the middle, the tails are .0100
theres a way to run a CI, but i dont my batteries are dead so i cant review it that well :)
it says area: u: o: paste
but u and o are mu and segma
for an invnorm function? i think your on something different 2nd, vars gets us to the distribution menu .... and invnorm is the inverse normal function that takes a left tail area and gives back a zscore
http://www.wolframalpha.com/input/?i=invnorm%28.0100%29 heres the wolfs version of it
its Invnorm
a normal distribution wil have a u of 0, and a o of 1
z = 2.326 is what we should end up with :)
ok whats next
use that to determine the interval and the margin of error from a given mean and sd mean +- 2.326(sd) gives the interval, the 2.326(sd) is the margin of error
i dont see any number of sample size to work with ... so im assuming this should work
so its 95.647~100.326?
doesn;t seem right
would that be for your woman parts?
97.6 -2.326(0.45) = 96.55 97.6 +2.326(0.45) = 98.65
oh yeah
the margin of error is just the 2.326(.45) = 1.05
sorry i thought it would be the 98%
i get it now , for men the margin of error is 2.326(.52), confidence interval is 1.21(91.1) right?
nvm
margin of error is good CI is just 91.1 +- (error margin)
you do +-
mean +, gives the high side of the interval mean -, gives the low side
+- is just a way to express that both operation come in to play
mhm i know that
good :)
whats the second part?
what does CI mean?
CI, confidence interval
no i meant in the questiuon
what does it mean in this problem
you tell me your best interpretation and ill correct it if need be
i thikn it means the range of body temperature?
or the chance of it being wrong?
not quite we are creating an interval which we are 98% confident will contain the true population mean.
the population mean is NOT 91.1 .... but we 98% confident that the sample we choose provides us with a way to determine that the population means is someplace within the CI
spose we are looking for a friends house, we can be 98% sure that it is on such and such a street, but the house we actually choose may or maynot be the place.
a confidence interval gives us a range of possible options based on the parameter of the sample, since we assume that the mean of the mutliple sample means is normally distributed about the population mean: |dw:1404411009187:dw|
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