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.
(a) What are the degrees of freedom for this statistic? (b) What is the exact p-value?
@jim_thompson5910
@hartnn @Mertsj
when doing a one sample t test, the degrees of freedom (df) are df = n-1
the p value is the probability of observing the test statistic or any other extreme test statistic (assuming the null hypothesis is true)
ok
12-1?
df = n - 1 df = 12 - 1 df = 11 yep
degrees of freedom is 11
okk what about b?
you need to calculate the area under the curve to the left of t = -2.45 (df = 11)
how do i calculate it?
using a calc of course lol, but the best choice is using wolfram alpha
ok what do i type in
? @jim_thompson5910
I typed it in for you and posted the link
ok what do i look at tho haha
but you would type in tcdf and then specify the endpoint and df
endpoint is -2.45
lol you would look at the probabilities section and the portion that has t < -2.45
df is 11
read me that number
i know
.01612
.01612 ?
perfect, that's your p value
thanks so much ! i have one more prob ill typ ehere plz
ok
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.
what's the population mean mu
how do i find that?
?
have you done hypothesis tests before?
kinda..
?
what do i do for a
one sec
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
ok cool
so are you able to use this info to conduct a hypothesis test
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)
is that right? if not can u tell me what to do
you're not doing confidence intervals here
you're doing a hypothesis test
so you need to find a p value (that's one way to do it)
ok! how do i do that with the info you gave above?
@jim_thompson5910 ?
well you would set up a normal distribution with mean 86 and standard deviation of 10/sqrt(40) = 1.5811
10/sqrt(40) = 1.5811 ok
then you would use this distribution to find the area under the curve to the left of 83
how do i do that? sorry lol ^ @jim_thompson5910
like how do i find a
use that calculator (the wolfram alpha calculator) we've been using
ok im on it
but this time we'll be using the normalcdf function
not the tcdf function
how do i put it at cdf
@jim_thompson5910
you type in normalcdf to get to the proper function you want
then you fiddle with the settings a bit to include the mean and standard deviation I'll brb
ok i have to go soon but
whats a? @jim_thompson5910
@jim_thompson5910 r u back?????
yeah sry took longer than i thought
its ok. :P what is A?
look at the line with z < 83
see it?
ya
.02889 @jim_thompson5910 ?
good
now ask yourself, is that larger or smaller than 0.05
smaller
so this means that it's significant at the 5% level is .02889 larger or smaller than 0.01
larger
so we can say it's significant at the 5% level but it's not significant at the 1% level
ok got that!
ie we can reject the null at 5% significance but we cannot reject the null at 1% significance
oko so thats a, thans! what about b?
(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.
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
thanks so much
np
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