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Mathematics 15 Online
OpenStudy (anonymous):

I have a math question please help!

OpenStudy (anonymous):

Carl conducted an experiment to determine if there is a difference in the mean body temperature between men and women. He found that the mean body temperature for a sample of 100 men was 91.1 with a population standard deviation of 0.52 and the mean body temperature for a sample of 100 women 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.

OpenStudy (anonymous):

@TuringTest @dan815 @undeadknight26 @paki @Skyz

OpenStudy (amistre64):

what part are you stuck at?

OpenStudy (anonymous):

Honestly I don't understand any of it.

OpenStudy (anonymous):

It's the last question on an exam of 5 questions, and It has nothing to do with what im learning, this is like statistics and i'm taking Alg 2

OpenStudy (amistre64):

it is stats

OpenStudy (amistre64):

you know how to find a zscore?

OpenStudy (anonymous):

No

OpenStudy (amistre64):

a confidence interval is just some spread about the mean, so we start with the mean, then add/subtract the required number of standard deviations that are attributed to the percentage demanded

OpenStudy (amistre64):

the hardest part is just looking stuff up on a table, if you got a stats calc like a ti83 its not even that hard

OpenStudy (anonymous):

I use my phone as a calculator, don't even have a real one XD

OpenStudy (amistre64):

then youd need a table

OpenStudy (anonymous):

What type of table ?

OpenStudy (amistre64):

a z table of course :)

OpenStudy (anonymous):

I don't know what that is XD I didn't even know what a Zscore was

OpenStudy (amistre64):

a confidence interval is formulated as: \[mean\pm z(SE)\] SE is the standard error, or the margin of error and is just the standard deviation divided by the sqrt of the sample size

OpenStudy (amistre64):

we have all the info needed, and the table is used to find the value of z

OpenStudy (anonymous):

Okay So how do I plug it in?

OpenStudy (amistre64):

98% leaves 2% free, half in each tail. so a zscore related to .0100 is needed

OpenStudy (amistre64):

a stat calculator will have an invnorm function that gives us the z score associated with a probability area. http://www.wolframalpha.com/input/?i=invnorm%28.0100%29

OpenStudy (anonymous):

Okay I get the first half of that, because the bell curve is symmetrical, so 50% of the 2% goes in each side, so 1% and 1% but the zscore thing lost me again

OpenStudy (amistre64):

z score is simply the number of standard deviations that fit between some x and the mean

OpenStudy (anonymous):

but the mean is zero?

OpenStudy (amistre64):

\[z=\frac{x-mean}{sd}\] the confidence interval is finding a low and high x value associated with whatever probability is attributed to the confidence interval in this case we want a zscore that has a value of .0100 associated with it

OpenStudy (amistre64):

the mean is not 0, its stated for each group

OpenStudy (anonymous):

But that link you gave me said the mean was 0

OpenStudy (amistre64):

the mean of a normal distribution is 0 with a standard deviation of 1 we can rework any 'normally' distributed data by subtracting the mean from all the points, and dividing out the standard deviation

OpenStudy (anonymous):

Okay

OpenStudy (anonymous):

I think the standard deviation with my problem was .45

OpenStudy (amistre64):

mean sample of 100 men was 91.1 with a population standard deviation of 0.52 and the mean body temperature for a sample of 100 women was 97.6 with a population standard deviation of 0.45.

OpenStudy (amistre64):

if we do just the women: \[\pm z=\frac{\pm x-mean}{\sigma/\sqrt{n}}\] \[\pm z(\sigma/\sqrt n)=\pm x-mean\] \[mean\pm z(\sigma/\sqrt n)=\pm x\]

OpenStudy (amistre64):

we are given the mean, n, sigma ... and are told to use a z that gives us a 1% tail: the invnorm function says z=2.326

OpenStudy (anonymous):

I'm going to admit, that just looks like a bunch of fancy symbols :/

OpenStudy (amistre64):

it is :) but thats generality for you

OpenStudy (anonymous):

XD I hate math.

OpenStudy (anonymous):

So back to the actual question it wants me to explain the confidence intervals?

OpenStudy (amistre64):

a confidence interval is dependant upon the central limit thrm. the central limit thrm says that for a large number of samples, the mean of the sample means will be normally distributed. so we would expect that for a specific sample, we can be p% confident that the true population mean is somewhere within the interval

OpenStudy (amistre64):

so, in this case, we are 98% confident that the true population mean, is someplace between the interval we found.

OpenStudy (anonymous):

Okay

OpenStudy (anonymous):

the interval being the zscore ? or the Standard deviation>?

OpenStudy (amistre64):

the interval being the confidence interval that we find using the formulas ive already posted

OpenStudy (amistre64):

the zscore and the standard deviation are only parts of the formula

OpenStudy (amistre64):

when i use a hammer to build a wall, the hammer isnt the wall.

OpenStudy (anonymous):

Okay so do you mind going over that again in simple terms that I can comprehend XD?

OpenStudy (anonymous):

Well obviously a hammer isnt a wall

OpenStudy (amistre64):

i can only use terms I can comprehend.

OpenStudy (amistre64):

do we agree that the mean, the standard deviation, the sample size, and the desired percentage of the confidence interval are stated in the problem?

OpenStudy (anonymous):

Yes :D

OpenStudy (anonymous):

Because I like agreeing

OpenStudy (amistre64):

then we use them to fill in the formula for the confidence interval:\[mean\pm z(sd/\sqrt n)=(x_1,x_2)\]

OpenStudy (amistre64):

everything but z is given outright; we use the 1% tail to obtain the value of z

OpenStudy (amistre64):

invnorm(.0100) = 2.326 or if by table it might have been determined as 2.33

OpenStudy (amistre64):

so, we simply use the values with the formula

OpenStudy (amistre64):

calculate the 98% confidence interval, use the formula and the margin of error: thats the z(sd/sqrt(n)) part of the equation

OpenStudy (anonymous):

Okay...

OpenStudy (anonymous):

My issue right now is , I dont know what the symbols stand for...

OpenStudy (anonymous):

Sd is probably standard deviation, Z is the zscore, square root of N??? and x and x2?

OpenStudy (amistre64):

\[mean\pm z(sd/\sqrt n)=(x_1,x_2)\] sqrt n, n is the sample size, in this case 100 people sampled x1 and x2 are the endpoint of the interval

OpenStudy (amistre64):

x1 = mean - E (E stands for margin of error) x2 = mean + E

OpenStudy (anonymous):

OKay that does help :) But I don't know the margin of error do I?

OpenStudy (anonymous):

would you mind plugging it into the formula?

OpenStudy (amistre64):

you should, all i did was rename a part of the formula for simplicities sake

OpenStudy (amistre64):

what are we +/- ing in the formula?

OpenStudy (amistre64):

starts with a z and ends with a sqrtn

OpenStudy (anonymous):

the mean?

OpenStudy (anonymous):

Sorry man I still don't understand any of this :/ Thanks so much for trying to explain to me, but I'm just not a math guy. I'm trying to understand, and thank you so much for your time. But I don't think I'll ever get it.

OpenStudy (amistre64):

\[mean\pm E~~\to~~ mean\pm z(sd/\sqrt n)\]

OpenStudy (amistre64):

do you agree that E is simpler to write up?

OpenStudy (anonymous):

yes :o

OpenStudy (anonymous):

Much easier.

OpenStudy (amistre64):

the formula doesnt change because we make writing it simpler

OpenStudy (amistre64):

\[E = z(SE)\] SE means standard error can you tell from this how we calculate the standard error?

OpenStudy (anonymous):

Multiply z x SE ?

OpenStudy (anonymous):

or figure out what e is

OpenStudy (anonymous):

and then divide by z

OpenStudy (amistre64):

standard error is already define as SE, comparing it to the formula already stated over and over again. z(SE) = z(sd/sqrt(n)) therefore the calculation for standard error is sd/sqrt(n)

OpenStudy (anonymous):

Yeah That doesn't make any sense.

OpenStudy (amistre64):

its just naming parts of the formula so that they can be discussed in their own right

OpenStudy (anonymous):

I'm on a timed test with this question and i got 5 minutes left. So I'm just going to BS it and thank you for your time XD i'm sorry i dont understand any of this.

OpenStudy (amistre64):

a confidence interval is the formula: mean +- E E is defined as the margin of error E = z(SE) ok, good luck with it :)

OpenStudy (anonymous):

You're trying so hard to explain, but I have learning issues and I dont really understand things by just seeing words

OpenStudy (anonymous):

How do I medal you or something?

OpenStudy (amistre64):

if you feel i did well, there is a best response button net to everything i posted. it gives a medal

OpenStudy (amistre64):

*next to

OpenStudy (anonymous):

Okay I clicked that :D thanks for your time, sorry I dont understand this

OpenStudy (amistre64):

it takes time and lots of practice :) again, good luck

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