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OpenStudy (anonymous):
Find the p-value for each by filling in the table (don't forget to complete the calculator command):
OpenStudy (anonymous):
@reemii @mathstudent55 @Mertsj
OpenStudy (mertsj):
No clue
OpenStudy (anonymous):
who does?
OpenStudy (anonymous):
@electrokid ?
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OpenStudy (anonymous):
no comprehendo the question
OpenStudy (reemii):
Does this mean (first line) that there is Chi-squared random variable with 4 degrees of freedom that has taken a value equal to 5 and you are asked to give the p-value ?
OpenStudy (anonymous):
OpenStudy (reemii):
Do you have the table of the chi-squared?
OpenStudy (reemii):
oh but you have a calculator?
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find a calculator or use the table given by electrokid.
Look at the curve of the density of the chi-squared(DF=whatever) . Fix some value A. The p-value is the area on the right of A, and it is = P(this chi-square variable > A).
OpenStudy (reemii):
so can you complete it now?
OpenStudy (anonymous):
@jim_thompson5910
jimthompson5910 (jim_thompson5910):
not exactly sure what they want, but it sounds like they want to know the p value for the given chi-square test statistic (for each row)
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OpenStudy (anonymous):
is this right? 1. 0.2872
2. 0.0404
3. 0.0047
4. 0.0004
5. 0.0018
6. 0.0047
7. 0.0103
8. 0.0202
jimthompson5910 (jim_thompson5910):
let me check
OpenStudy (anonymous):
kk
jimthompson5910 (jim_thompson5910):
oh sry i misread, it should be the section that's right before the last section
OpenStudy (anonymous):
yea thats what i used
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jimthompson5910 (jim_thompson5910):
oh nvm, you caught it before I did lol
jimthompson5910 (jim_thompson5910):
ok let me check
OpenStudy (anonymous):
ok
jimthompson5910 (jim_thompson5910):
looks great to me
jimthompson5910 (jim_thompson5910):
I'm getting the same
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OpenStudy (anonymous):
cool!
OpenStudy (anonymous):
ok i have another one:
OpenStudy (anonymous):
Sarah is running a chi-squared Goodness of Fit test to test whether the claimed proportions of candy colors in assorted bags of candy are different than claimed by the company. She takes a random sample of 300 pieces of candy from assorted bags. The company claims the following proportions of colors in assorted bags:
OpenStudy (anonymous):
OpenStudy (anonymous):
@jim_thompson5910
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jimthompson5910 (jim_thompson5910):
looking up formula
OpenStudy (anonymous):
ok
OpenStudy (anonymous):
did u find it @jim_thompson5910 lol
jimthompson5910 (jim_thompson5910):
well that's the thing, I think i have an idea on how to do this...but it seems like something is missing
jimthompson5910 (jim_thompson5910):
not 100% sure though
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OpenStudy (anonymous):
ok what do u think?
OpenStudy (anonymous):
@jim_thompson5910
OpenStudy (anonymous):
@jim_thompson5910 ?
jimthompson5910 (jim_thompson5910):
ok i see the proportions given by the company, but what are the actual sample counts?
OpenStudy (anonymous):
where do i find that?
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jimthompson5910 (jim_thompson5910):
it doesn't give it out?
OpenStudy (anonymous):
no the full problem is up there ^
jimthompson5910 (jim_thompson5910):
hmm ok
OpenStudy (anonymous):
soo
jimthompson5910 (jim_thompson5910):
i'm not entirely sure, the company gives out the claimed data, but there's no sample data to work with
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jimthompson5910 (jim_thompson5910):
see what I mean?
OpenStudy (anonymous):
ya thats true it says
OpenStudy (anonymous):
wait did u see the screenshot?
OpenStudy (anonymous):
@jim_thompson5910
jimthompson5910 (jim_thompson5910):
yeah i saw that, that's the company's claimed data
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jimthompson5910 (jim_thompson5910):
but there's nothing to compare it to
OpenStudy (anonymous):
ummm
OpenStudy (anonymous):
Heres question again: Sarah is running a chi-squared Goodness of Fit test to test whether the claimed proportions of candy colors in assorted bags of candy are different than claimed by the company. She takes a random sample of 300 pieces of candy from assorted bags. The company claims the following proportions of colors in assorted bags:
OpenStudy (anonymous):
Then its the pic. and it says What are the expected results of each color?
jimthompson5910 (jim_thompson5910):
does it give you any info on what kind of sample she got?
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OpenStudy (anonymous):
Nope thats all of it.
OpenStudy (anonymous):
it says she takes a random sample
jimthompson5910 (jim_thompson5910):
lame, there's definitely missing info in my opinion
jimthompson5910 (jim_thompson5910):
but I'm not 100% sure if that's the case or not
OpenStudy (anonymous):
so wat do i do
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jimthompson5910 (jim_thompson5910):
could it be a typo maybe that this info is missing?
jimthompson5910 (jim_thompson5910):
If i were in your shoes, I would ask the teacher about it and maybe the info will be given then?
jimthompson5910 (jim_thompson5910):
oooh wait...we just want the expected results
we don't need the sample
jimthompson5910 (jim_thompson5910):
not thinking at all
jimthompson5910 (jim_thompson5910):
but you just multiply the values in the table with the total 300
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OpenStudy (anonymous):
lol ok
OpenStudy (anonymous):
how?
jimthompson5910 (jim_thompson5910):
example:
0.2 is in the green column
so you expect there to be 0.2*300 = 60 green
jimthompson5910 (jim_thompson5910):
do the same for the rest
jimthompson5910 (jim_thompson5910):
unfortunately we can't go any further with the goodness of fit test because we will still need the observed results (ie the stuff in the sample), but that's ok
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OpenStudy (anonymous):
Green: .2 times 300 = 60
Yellow: .3 times 300 = 90
Red: .3 times 300 = 90
Blue: .2 times 300 = 60
OpenStudy (anonymous):
is this right?
jimthompson5910 (jim_thompson5910):
yep
OpenStudy (anonymous):
ok thats the answer? ok thx one more
OpenStudy (anonymous):
A regular 6-sided die is tossed 200 times with the faces turning up as follows:
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OpenStudy (anonymous):
jimthompson5910 (jim_thompson5910):
if you toss a die 200 times, how many times do you expect to get a 1 on the die
OpenStudy (anonymous):
ummm
OpenStudy (anonymous):
idk?
jimthompson5910 (jim_thompson5910):
what are the chances of rolling a 1 on a six sided die
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OpenStudy (anonymous):
1/6
jimthompson5910 (jim_thompson5910):
multiply that with 200
OpenStudy (anonymous):
200/6?....
jimthompson5910 (jim_thompson5910):
write in decimal form though
OpenStudy (anonymous):
33.3333333333
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jimthompson5910 (jim_thompson5910):
so roughly 33
jimthompson5910 (jim_thompson5910):
if you round to the nearest integer
jimthompson5910 (jim_thompson5910):
this means that you expect to get a '1' on the die 33 times