Solution verification on a difference of proportions exercise
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A company prints stickers and sells them in packs of $100$ units, ensuring that on average $30$% of the stickers are type $A$, $60$% are type $B$ and $10$% are type $C$. If a package selected at random contains $50$ stickers of type $A$, $45$ of type $B$ and $5$ of type $C$, do these proportions match those given by the company at the level $alpha = 0.005$?
I've tryed used the Goodnes of Fit with this table:
$begin{array}{|c|c|c|c|}
hline
type& OBSERVED & EXPECTED \ hline
A&50 & 30\ hline
B& 45 & 60\ hline
C& 5 &10 \ hline
end{array}$
$tilde{chi}^2=19.583$
My $p$-value is $0.000056$ then the proportions don't match.
I formulated the solution to the exercise well?
statistics proof-verification
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up vote
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down vote
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A company prints stickers and sells them in packs of $100$ units, ensuring that on average $30$% of the stickers are type $A$, $60$% are type $B$ and $10$% are type $C$. If a package selected at random contains $50$ stickers of type $A$, $45$ of type $B$ and $5$ of type $C$, do these proportions match those given by the company at the level $alpha = 0.005$?
I've tryed used the Goodnes of Fit with this table:
$begin{array}{|c|c|c|c|}
hline
type& OBSERVED & EXPECTED \ hline
A&50 & 30\ hline
B& 45 & 60\ hline
C& 5 &10 \ hline
end{array}$
$tilde{chi}^2=19.583$
My $p$-value is $0.000056$ then the proportions don't match.
I formulated the solution to the exercise well?
statistics proof-verification
This is exactly how you do it (assuming you computed the summ correctly).
– Sean Roberson
Nov 26 at 5:58
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
A company prints stickers and sells them in packs of $100$ units, ensuring that on average $30$% of the stickers are type $A$, $60$% are type $B$ and $10$% are type $C$. If a package selected at random contains $50$ stickers of type $A$, $45$ of type $B$ and $5$ of type $C$, do these proportions match those given by the company at the level $alpha = 0.005$?
I've tryed used the Goodnes of Fit with this table:
$begin{array}{|c|c|c|c|}
hline
type& OBSERVED & EXPECTED \ hline
A&50 & 30\ hline
B& 45 & 60\ hline
C& 5 &10 \ hline
end{array}$
$tilde{chi}^2=19.583$
My $p$-value is $0.000056$ then the proportions don't match.
I formulated the solution to the exercise well?
statistics proof-verification
A company prints stickers and sells them in packs of $100$ units, ensuring that on average $30$% of the stickers are type $A$, $60$% are type $B$ and $10$% are type $C$. If a package selected at random contains $50$ stickers of type $A$, $45$ of type $B$ and $5$ of type $C$, do these proportions match those given by the company at the level $alpha = 0.005$?
I've tryed used the Goodnes of Fit with this table:
$begin{array}{|c|c|c|c|}
hline
type& OBSERVED & EXPECTED \ hline
A&50 & 30\ hline
B& 45 & 60\ hline
C& 5 &10 \ hline
end{array}$
$tilde{chi}^2=19.583$
My $p$-value is $0.000056$ then the proportions don't match.
I formulated the solution to the exercise well?
statistics proof-verification
statistics proof-verification
asked Nov 26 at 5:45
testpilot
585214
585214
This is exactly how you do it (assuming you computed the summ correctly).
– Sean Roberson
Nov 26 at 5:58
add a comment |
This is exactly how you do it (assuming you computed the summ correctly).
– Sean Roberson
Nov 26 at 5:58
This is exactly how you do it (assuming you computed the summ correctly).
– Sean Roberson
Nov 26 at 5:58
This is exactly how you do it (assuming you computed the summ correctly).
– Sean Roberson
Nov 26 at 5:58
add a comment |
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This is exactly how you do it (assuming you computed the summ correctly).
– Sean Roberson
Nov 26 at 5:58