Ask your own question, for FREE!
Mathematics 20 Online
OpenStudy (konradzuse):

A researcher used a new drug to treat 100 subjects with high cholesterol. For the patients in the study, after two months of treatment the average decrease in cholesterol level was 80 milligrams per deciliter (mg/dl). Assume that the decrease in cholesterol after two months of taking the drug follows a Normal distribution, with unknown mean μ and standard deviation σ = 20 mg/dl. The researcher will construct a 90% confidence interval to estimate μ.

OpenStudy (konradzuse):

The researcher's 90% confidence interval for μ is A. 78 mg/dl to 82 mg/dl. B. 76.71 mg/dl to 83.29 mg/dl. C. 60 mg/dl to 100 mg/dl. D. 47.1 mg/dl to 112.9 mg/dl. The margin of error associated with a 90% confidence interval for the researcher's 90% confidence interval for μ is A. 1.645 mg/dl. B. 20 mg/dl. C. 2 mg/dl. D. 3.29 mg/dl.

OpenStudy (konradzuse):

@jim_thompson5910

OpenStudy (konradzuse):

I'm thinkinh A for the first part.

jimthompson5910 (jim_thompson5910):

this problem is a bit backwards because it helps to find the margin of error FIRST before you try to find the confidence interval

OpenStudy (konradzuse):

Does stats ever not be backwards? :)

jimthompson5910 (jim_thompson5910):

true

jimthompson5910 (jim_thompson5910):

the margin of error is E = k*sigma/sqrt(n) where k is the value such that P(-zk < Z < k) = 0.90

jimthompson5910 (jim_thompson5910):

oops meant to say P(-k < Z < k) = 0.90

OpenStudy (konradzuse):

>(

jimthompson5910 (jim_thompson5910):

E = k*sigma/sqrt(n) E = 1.645*20/sqrt(100) ... see note E = 3.29 Note: see this page: http://www.wolframalpha.com/input/?i=invnorm%280.90%29

OpenStudy (konradzuse):

I was trying to find a hw question that was similar, I forgot the formula it says.

OpenStudy (konradzuse):

Wolfram's the best :)

jimthompson5910 (jim_thompson5910):

it is you then use E to find the confidence interval lower bound: xbar - E upper bound: xbar + E

OpenStudy (konradzuse):

shouldn't we put a mean and SD in or not needed?

OpenStudy (konradzuse):

oh... unknown mean woops.

jimthompson5910 (jim_thompson5910):

i put in sigma, which is the SD

jimthompson5910 (jim_thompson5910):

the population mean is unknown, but we can use xbar

OpenStudy (konradzuse):

wolfram says 1, this says .2?

OpenStudy (konradzuse):

x values are 1.2 it looks like...

jimthompson5910 (jim_thompson5910):

huh?

OpenStudy (konradzuse):

sorry :P

jimthompson5910 (jim_thompson5910):

yeah i'm completely lost lol

OpenStudy (konradzuse):

I'm more lost LOL.

jimthompson5910 (jim_thompson5910):

well do you see how to get E?

OpenStudy (konradzuse):

yessir.

OpenStudy (konradzuse):

now xbar is which?

OpenStudy (konradzuse):

1.282?

jimthompson5910 (jim_thompson5910):

where are you getting that value?

OpenStudy (konradzuse):

Wolfram :P

jimthompson5910 (jim_thompson5910):

give me the link

jimthompson5910 (jim_thompson5910):

of what you're seeing

OpenStudy (konradzuse):

the one you posted :p.

OpenStudy (konradzuse):

where it says "x-values."

jimthompson5910 (jim_thompson5910):

oh you're picking the wrong value

jimthompson5910 (jim_thompson5910):

you want P( |z| < 1.645)

OpenStudy (konradzuse):

yeah I was just thinking that.

OpenStudy (konradzuse):

oic...

jimthompson5910 (jim_thompson5910):

conveniently named "confidence level"

OpenStudy (konradzuse):

LOL woops.

jimthompson5910 (jim_thompson5910):

np

OpenStudy (konradzuse):

3.29 - 1.645 and 3.29 + 1.645?

jimthompson5910 (jim_thompson5910):

no

jimthompson5910 (jim_thompson5910):

1.645 isn't the margin of error

jimthompson5910 (jim_thompson5910):

it helps you find it though

OpenStudy (konradzuse):

>(

OpenStudy (konradzuse):

so that's not xbar ok... :(

jimthompson5910 (jim_thompson5910):

E = k*sigma/sqrt(n) E = 1.645*20/sqrt(100) E = 3.29

jimthompson5910 (jim_thompson5910):

xbar is given to be 80

OpenStudy (konradzuse):

ok......

jimthompson5910 (jim_thompson5910):

confidence interval lower bound: xbar - E upper bound: xbar + E

OpenStudy (konradzuse):

okay that's what I was thinkign from the start, this stats always konfuses me... :(.

OpenStudy (konradzuse):

So B?

jimthompson5910 (jim_thompson5910):

you'll get it, just practice more

jimthompson5910 (jim_thompson5910):

B and D, yes

OpenStudy (konradzuse):

oic E is the answer to the second part....

jimthompson5910 (jim_thompson5910):

yeah exactly, which is why it's confusing to have them in this order

OpenStudy (konradzuse):

oic and k is our confidence level.....

jimthompson5910 (jim_thompson5910):

sorta

OpenStudy (konradzuse):

>(

jimthompson5910 (jim_thompson5910):

k is determined by the confidence level

jimthompson5910 (jim_thompson5910):

but k = 1.645 isn't the confidence level itself

OpenStudy (konradzuse):

because we put .9?

jimthompson5910 (jim_thompson5910):

that's the confidence level

jimthompson5910 (jim_thompson5910):

90%

OpenStudy (konradzuse):

well that's what you posted before k = 1.645?

OpenStudy (konradzuse):

ah okay....

jimthompson5910 (jim_thompson5910):

yeah but didn't say/mean it was the confidence level, it's just based off it

jimthompson5910 (jim_thompson5910):

CL changes -----> k changes

OpenStudy (konradzuse):

yeah.... It just says confidence level in Wolfram :P.....

jimthompson5910 (jim_thompson5910):

true it does say that, just gotta know which value they're referring to

OpenStudy (konradzuse):

*throws laptop*

Can't find your answer? Make a FREE account and ask your own questions, OR help others and earn volunteer hours!

Join our real-time social learning platform and learn together with your friends!
Can't find your answer? Make a FREE account and ask your own questions, OR help others and earn volunteer hours!

Join our real-time social learning platform and learn together with your friends!