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Mathematics 8 Online
OpenStudy (anonymous):

The one-sample t statistic for a test of H0: mean= 20 Ha: mean <20 based on n = 12 observations has the value t = -2.45.

OpenStudy (anonymous):

(a) What are the degrees of freedom for this statistic? (b) What is the exact p-value?

OpenStudy (anonymous):

@jim_thompson5910

OpenStudy (anonymous):

@hartnn @Mertsj

jimthompson5910 (jim_thompson5910):

when doing a one sample t test, the degrees of freedom (df) are df = n-1

jimthompson5910 (jim_thompson5910):

the p value is the probability of observing the test statistic or any other extreme test statistic (assuming the null hypothesis is true)

OpenStudy (anonymous):

ok

OpenStudy (anonymous):

12-1?

jimthompson5910 (jim_thompson5910):

df = n - 1 df = 12 - 1 df = 11 yep

jimthompson5910 (jim_thompson5910):

degrees of freedom is 11

OpenStudy (anonymous):

okk what about b?

jimthompson5910 (jim_thompson5910):

you need to calculate the area under the curve to the left of t = -2.45 (df = 11)

OpenStudy (anonymous):

how do i calculate it?

jimthompson5910 (jim_thompson5910):

using a calc of course lol, but the best choice is using wolfram alpha

OpenStudy (anonymous):

ok what do i type in

OpenStudy (anonymous):

? @jim_thompson5910

jimthompson5910 (jim_thompson5910):

I typed it in for you and posted the link

OpenStudy (anonymous):

ok what do i look at tho haha

jimthompson5910 (jim_thompson5910):

but you would type in tcdf and then specify the endpoint and df

OpenStudy (anonymous):

endpoint is -2.45

jimthompson5910 (jim_thompson5910):

lol you would look at the probabilities section and the portion that has t < -2.45

OpenStudy (anonymous):

df is 11

jimthompson5910 (jim_thompson5910):

read me that number

jimthompson5910 (jim_thompson5910):

i know

OpenStudy (anonymous):

.01612

OpenStudy (anonymous):

.01612 ?

jimthompson5910 (jim_thompson5910):

perfect, that's your p value

OpenStudy (anonymous):

thanks so much ! i have one more prob ill typ ehere plz

jimthompson5910 (jim_thompson5910):

ok

OpenStudy (anonymous):

The amount of lead in a certain type of soil, when released by a standard extraction method, averages 86 parts per million (ppm). A new extraction method is tried on 40 specimens of the soil, yielding a mean of 83 ppm lead and a standard deviation of 10 ppm. (a) Is there significant evidence at the 5% level that the new method frees less lead from the soil? What about the 1% level? (b) A critic argues that because of variations in the soil, the effectiveness of the new method is confounded with characteristics of the particular soil specimens used. Briefly describe a better data production design that avoids this criticism.

jimthompson5910 (jim_thompson5910):

what's the population mean mu

OpenStudy (anonymous):

how do i find that?

OpenStudy (anonymous):

?

jimthompson5910 (jim_thompson5910):

have you done hypothesis tests before?

OpenStudy (anonymous):

kinda..

OpenStudy (anonymous):

?

OpenStudy (anonymous):

what do i do for a

jimthompson5910 (jim_thompson5910):

one sec

jimthompson5910 (jim_thompson5910):

when it gives you The amount of lead in a certain type of soil, when released by a standard extraction method, averages 86 parts per million (ppm). A new extraction method is tried on 40 specimens of the soil, yielding a mean of 83 ppm lead and a standard deviation of 10 ppm. we can pull out these pieces of info mu = 86 xbar = 83 s = 10 n = 40

OpenStudy (anonymous):

ok cool

jimthompson5910 (jim_thompson5910):

so are you able to use this info to conduct a hypothesis test

OpenStudy (anonymous):

95 percent Confidence Interval: 83 plus/minus 2.021 * 10 / SQRT(10) = (76.61, 89.39) (a) 1 and 5 percent level: No! The new method does not free less lead from the soil. (b)

OpenStudy (anonymous):

is that right? if not can u tell me what to do

jimthompson5910 (jim_thompson5910):

you're not doing confidence intervals here

jimthompson5910 (jim_thompson5910):

you're doing a hypothesis test

jimthompson5910 (jim_thompson5910):

so you need to find a p value (that's one way to do it)

OpenStudy (anonymous):

ok! how do i do that with the info you gave above?

OpenStudy (anonymous):

@jim_thompson5910 ?

jimthompson5910 (jim_thompson5910):

well you would set up a normal distribution with mean 86 and standard deviation of 10/sqrt(40) = 1.5811

OpenStudy (anonymous):

10/sqrt(40) = 1.5811 ok

jimthompson5910 (jim_thompson5910):

then you would use this distribution to find the area under the curve to the left of 83

OpenStudy (anonymous):

how do i do that? sorry lol ^ @jim_thompson5910

OpenStudy (anonymous):

like how do i find a

jimthompson5910 (jim_thompson5910):

use that calculator (the wolfram alpha calculator) we've been using

OpenStudy (anonymous):

ok im on it

jimthompson5910 (jim_thompson5910):

but this time we'll be using the normalcdf function

jimthompson5910 (jim_thompson5910):

not the tcdf function

OpenStudy (anonymous):

how do i put it at cdf

OpenStudy (anonymous):

@jim_thompson5910

jimthompson5910 (jim_thompson5910):

you type in normalcdf to get to the proper function you want

jimthompson5910 (jim_thompson5910):

then you fiddle with the settings a bit to include the mean and standard deviation I'll brb

OpenStudy (anonymous):

ok i have to go soon but

OpenStudy (anonymous):

whats a? @jim_thompson5910

OpenStudy (anonymous):

@jim_thompson5910 r u back?????

jimthompson5910 (jim_thompson5910):

yeah sry took longer than i thought

OpenStudy (anonymous):

its ok. :P what is A?

jimthompson5910 (jim_thompson5910):

look at the line with z < 83

jimthompson5910 (jim_thompson5910):

see it?

OpenStudy (anonymous):

ya

OpenStudy (anonymous):

.02889 @jim_thompson5910 ?

jimthompson5910 (jim_thompson5910):

good

jimthompson5910 (jim_thompson5910):

now ask yourself, is that larger or smaller than 0.05

OpenStudy (anonymous):

smaller

jimthompson5910 (jim_thompson5910):

so this means that it's significant at the 5% level is .02889 larger or smaller than 0.01

OpenStudy (anonymous):

larger

jimthompson5910 (jim_thompson5910):

so we can say it's significant at the 5% level but it's not significant at the 1% level

OpenStudy (anonymous):

ok got that!

jimthompson5910 (jim_thompson5910):

ie we can reject the null at 5% significance but we cannot reject the null at 1% significance

OpenStudy (anonymous):

oko so thats a, thans! what about b?

jimthompson5910 (jim_thompson5910):

(b) A critic argues that because of variations in the soil, the effectiveness of the new method is confounded with characteristics of the particular soil specimens used. Briefly describe a better data production design that avoids this criticism. To design a better experiment, the idea is to control all the variables the best you can. So try to get each sample to have the same characteristics so the affect of confounding variables is low. This means each sample gets the same amount of water, air, etc and is found in the same general location. This should lead to more consistent samples and a more accurate experiment.

jimthompson5910 (jim_thompson5910):

Basically what you want to do is isolate one variable and test it while holding other variables fixed. This is so you know that they don't have an affect on the outcome of the experiment

OpenStudy (anonymous):

thanks so much

jimthompson5910 (jim_thompson5910):

np

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