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Mathematics 8 Online
OpenStudy (anonymous):

see attachment.

OpenStudy (anonymous):

OpenStudy (anonymous):

@jim_thompson5910

jimthompson5910 (jim_thompson5910):

ok for part a), we're going to use a calculator wolfram alpha is the best but you can use a TI calculator or any other kind of calculator that supports cdf's

jimthompson5910 (jim_thompson5910):

remember how to use wolfram alpha to get cdf's?

OpenStudy (anonymous):

i never know how to use wolfram alpha

jimthompson5910 (jim_thompson5910):

ok the function we're going to use is called "normalcdf" and it's basic format is normalcdf(L,U,mu,sigma) where L = lower endpoint of interval U = upper endpoint of interval mu = mean sigma = standard deviation in this case L = 96 U = 200 (pick any large number that's more than 5 standard deviations away from the mean) mu = 87 sigma = 18 so we enter this function, with these arguments, normalcdf(96,200,87,18)

jimthompson5910 (jim_thompson5910):

go ahead and do so tell me what you get on the 4th line in the "probabilities" section

OpenStudy (anonymous):

ok on sec

OpenStudy (anonymous):

0.3085?

jimthompson5910 (jim_thompson5910):

so that's the probability you want because that's essentially the same as saying P(X > 96)

jimthompson5910 (jim_thompson5910):

ie 200 is so far out there that P(96 < X < 200) is close enough to P(X > 96)

OpenStudy (anonymous):

ok so a) is 0.3085?

jimthompson5910 (jim_thompson5910):

yes

jimthompson5910 (jim_thompson5910):

for part b, only one thing will change: the standard deviation

jimthompson5910 (jim_thompson5910):

it will become sigma/sqrt(n) = 18/sqrt(6) = 7.348469

jimthompson5910 (jim_thompson5910):

what do you get when you make this change

OpenStudy (anonymous):

0.06681?

jimthompson5910 (jim_thompson5910):

hmm I'm not getting the same thing

jimthompson5910 (jim_thompson5910):

you only changed the 18 into 7.348469 right?

OpenStudy (anonymous):

no i did normalcdf(96,200,87,6)

jimthompson5910 (jim_thompson5910):

oh that's not correct, the new standard deviation is not 6

jimthompson5910 (jim_thompson5910):

it's 18/sqrt(6) = 7.348469

OpenStudy (anonymous):

so i do normalcdf(96,200,87,7.348469)?

jimthompson5910 (jim_thompson5910):

yep

OpenStudy (anonymous):

0.1103?

jimthompson5910 (jim_thompson5910):

better

jimthompson5910 (jim_thompson5910):

that's the answer to part b) for similar reasons in part a)

OpenStudy (anonymous):

ok so d) is D?

jimthompson5910 (jim_thompson5910):

what did you get for C?

OpenStudy (anonymous):

oh woops i missed that one

OpenStudy (anonymous):

ok so do i do 18/sqrt(18)?

jimthompson5910 (jim_thompson5910):

yes

OpenStudy (anonymous):

0.01695?

OpenStudy (anonymous):

ok i so i still think d) is D.

jimthompson5910 (jim_thompson5910):

round that to four places to get your answer

jimthompson5910 (jim_thompson5910):

so 0.01695 turns into 0.0170

jimthompson5910 (jim_thompson5910):

yes

jimthompson5910 (jim_thompson5910):

cause they want the answer rounded to 4 decimal places

OpenStudy (anonymous):

ok so d) is D right?

jimthompson5910 (jim_thompson5910):

what makes you think it's D

OpenStudy (anonymous):

because the probability is decreasing as the samples are increasing.

jimthompson5910 (jim_thompson5910):

that part is correct...but is the variability increasing?

jimthompson5910 (jim_thompson5910):

as you get bigger and bigger samples, would the variability that's measuring the mean eruption time increase or decrease?

OpenStudy (anonymous):

i'm not sure.

jimthompson5910 (jim_thompson5910):

xbar estimates mu right?

OpenStudy (anonymous):

yes?

jimthompson5910 (jim_thompson5910):

xbar is the sample mean mu is the population mean so xbar does in fact estimate mu

jimthompson5910 (jim_thompson5910):

when you have small samples, the distribution of xbars (or sample means) will be all over the place...but they will be loosely centered around mu as n increases, they will become more and more centered around mu and they won't be as spread out...this is because your accuracy at estimating mu will increase

jimthompson5910 (jim_thompson5910):

this is why bigger samples are always a good idea

jimthompson5910 (jim_thompson5910):

so as accuracy increases, variability decreases

OpenStudy (anonymous):

so its A?

jimthompson5910 (jim_thompson5910):

correct

jimthompson5910 (jim_thompson5910):

basically you go from something like this |dw:1369527707077:dw| to something like this |dw:1369527720997:dw|

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