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Mathematics 8 Online
OpenStudy (anonymous):

More stats Please help?! Medal/Fan

OpenStudy (anonymous):

OpenStudy (anonymous):

@Luigi0210

OpenStudy (anonymous):

@paki

OpenStudy (anonymous):

would 9 be a? I know that 0.41 and 0.59 add up to 1.... but what would I do to solve?

OpenStudy (anonymous):

10... I think this is B or C

OpenStudy (anonymous):

@kirbykirby @mathslover

OpenStudy (anonymous):

For independent probabilities, p(both) = (p1)(p2)

OpenStudy (tkhunny):

"Both Lights are Green" is a subset of "The first light is green". |dw:1399129879643:dw| See how "Both" divides "first" into two sections? What percent of "First" is "Both"

hartnn (hartnn):

For independent events, \(\Large P (A \cap B ) = P (A)P(B)\)

hartnn (hartnn):

0.59 = 0.41 x

OpenStudy (anonymous):

okay, so @tkhunny 0.96 @hartnn would that be 1.43 @douglaswinslowcooper so I would multiply them?

OpenStudy (tkhunny):

0.96 is not correct. Try that again. Show your work.

hartnn (hartnn):

oops, that was supposed to be 0.41 = 0.59 x

hartnn (hartnn):

because for both, its 0.41

OpenStudy (anonymous):

oh, so maybe 0.41/0.59 = 0.69 @tkhunny ? @hartnn are you saying solve for x by dividing 0.41 by 0.59?

OpenStudy (tkhunny):

Please look closely at those two questions. Seem rather similar, don't they? I think you have the arithmetic.

OpenStudy (anonymous):

so for the second question, I got 75 +/- -16.25 * (8/ sqrt(205)) = 65.92 - 84.08 .....

OpenStudy (anonymous):

that seems too wide a range :|

OpenStudy (anonymous):

@mathmale

OpenStudy (tkhunny):

Where did you get 16.25? A - B - Not symmetrical about the mean. Throw it out. C - Not symmetrical about the mean. Throw it out. D - Does not contain the mean. Throw it out. That's odd. There's really only one to choose from, due probably to intent or poor authorship. You need calculate nothing if you would like the correct answer without arithmetic.

OpenStudy (anonymous):

oh, wow, that seems really easy O.o and I think 16.25 was the z score .....

OpenStudy (tkhunny):

16.25 is NOT a Z-score. You should find 1.96, somewhere.

OpenStudy (anonymous):

Oh... O.o I must have plugged in my numbers in wrong then

OpenStudy (mathmale):

Regarding the first question: oh, so maybe 0.41/0.59 = 0.69 @tkhunny ? @hartnn are you saying solve for x by dividing 0.41 by 0.59? You're on the right track. How about writing out the formula you're using, and naming it?

hartnn (hartnn):

whats the formula for finding 95% confidence interval ?

OpenStudy (mathmale):

Regarding your "so for the second question, I got 75 +/- -16.25 * (8/ sqrt(205)) = 65.92 - 84.08 ..... " where did that 16.25 come from, and why is it negative?

OpenStudy (mathmale):

Or, better yet, what's the general formula for a confidence interval for use in "capturing" the true population mean?

hartnn (hartnn):

i don't even know what confidence is....except for its usage in english :P

OpenStudy (anonymous):

this is what I did.... x¯=75 σ=8 n=205 and the formula (x - n)/σ ....

OpenStudy (mathmale):

\[ xbar \pm (z ~critical~value)*(\sigma \sqrt{n)}\]

OpenStudy (anonymous):

is that for z score?

OpenStudy (mathmale):

So, Melissa: you'll need to find the "z-critical value" for a confidence level of 95%. What is it? How do you calculate or otherwise find it?

hartnn (hartnn):

is it like saying "I am 95% confident that HBPM will be in the interval 73.9 - 76.1"

OpenStudy (anonymous):

I thought it was ^^

OpenStudy (anonymous):

x¯=75 σ=8 n=205 and the formula (x - n)/σ ....

OpenStudy (mathmale):

@hartnn: Strictly speaking, here's what "confidence" would mean, in context: "Were we to take independent samples of size 205 from the general population again and again, then 95% of the time, our confidence interval would capture the true population mean."

OpenStudy (mathmale):

@MelissaHolmes : The formula you've provided is for z-score. The "z-critical value" has to do with the level of confidence you're interested in. In this problem you want a 95% confidence interval. The associated z critical value is 1.96. Think back: Have you seen this before? We can (1) memorize z-critical values for various levels of confidence, or (2) calculate them, or (3) look them up in a table.

OpenStudy (anonymous):

OHHHHHHHHHHHHHH...... oh my goodness, that's why I got it wrong >.< I thought I had to use z score O.o

OpenStudy (mathmale):

Important that you know this material. Please look at http://www.math.armstrong.edu/statsonline/5/5.3.2.html

hartnn (hartnn):

i found another good reference http://www.ucd.ie/statdept/classpages/introquantmeths/introqmchp12.pdf

OpenStudy (anonymous):

ok, thank you so mathmale and hartnn! :D

OpenStudy (mathmale):

\[xbar \pm (z ~critical~value)*(\sigma \sqrt{n)}\] Now please replace xbar with 75, "z critical value" with 1.96, sigma with 8 and n with 205.

OpenStudy (mathmale):

You're very welcome!

OpenStudy (anonymous):

:D

OpenStudy (anonymous):

for xbar range shouldn't we use sigma/sqrt(n),. standard error of the mean, rather than sigma*sqrt(n) ?

OpenStudy (mathmale):

@douglaswinslowcooper : Good question. In this type of question, the population standard deviation is usually unknown, and thus one has to use S, the sample std. dev. But in THIS particular problem, the population std. dev. is given, and so I thought to use it. What do YOU think in this particular situation?

OpenStudy (anonymous):

I am fine with using the population standard deviation, SD, but to get a confidence interval for the mean, I'd use the standard error SE = SD/sqrt(n). then use the usual multipliers [e.g., 1.96] because means are even more nearly normal than the distributions from which they are obtained.

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