Probability of selecting more than x of a color given distribution?
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If you have 2000 candies distributed uniformly over 5 colors, what is the probability of getting more than 300 blue candies?
I was thinking of doing complementary counting, so
$$ 1-sum_{i=0}^{300} {2000choose{i}}left(frac 15right)^{i}left(frac45right)^{2000-i}$$
Would this be correct?
probability binomial-distribution
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add a comment |
$begingroup$
If you have 2000 candies distributed uniformly over 5 colors, what is the probability of getting more than 300 blue candies?
I was thinking of doing complementary counting, so
$$ 1-sum_{i=0}^{300} {2000choose{i}}left(frac 15right)^{i}left(frac45right)^{2000-i}$$
Would this be correct?
probability binomial-distribution
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$begingroup$
What you've written is certainly correct, but I wonder if it's the answer your instructor is looking for. Have you been studying anything about approximating probabilities? The central limit theorem, for instance?
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– saulspatz
Jan 13 at 16:20
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@saulspatz Yes, I felt like this answer was correct but perhaps not what the question is going for. What would be a way to approximate this using CLT?
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– javafrapp90
Jan 13 at 18:42
$begingroup$
newonlinecourses.science.psu.edu/stat414/node/179
$endgroup$
– saulspatz
Jan 13 at 22:12
add a comment |
$begingroup$
If you have 2000 candies distributed uniformly over 5 colors, what is the probability of getting more than 300 blue candies?
I was thinking of doing complementary counting, so
$$ 1-sum_{i=0}^{300} {2000choose{i}}left(frac 15right)^{i}left(frac45right)^{2000-i}$$
Would this be correct?
probability binomial-distribution
$endgroup$
If you have 2000 candies distributed uniformly over 5 colors, what is the probability of getting more than 300 blue candies?
I was thinking of doing complementary counting, so
$$ 1-sum_{i=0}^{300} {2000choose{i}}left(frac 15right)^{i}left(frac45right)^{2000-i}$$
Would this be correct?
probability binomial-distribution
probability binomial-distribution
edited Jan 13 at 16:16


saulspatz
15.1k31331
15.1k31331
asked Jan 13 at 16:06
javafrapp90javafrapp90
61
61
$begingroup$
What you've written is certainly correct, but I wonder if it's the answer your instructor is looking for. Have you been studying anything about approximating probabilities? The central limit theorem, for instance?
$endgroup$
– saulspatz
Jan 13 at 16:20
$begingroup$
@saulspatz Yes, I felt like this answer was correct but perhaps not what the question is going for. What would be a way to approximate this using CLT?
$endgroup$
– javafrapp90
Jan 13 at 18:42
$begingroup$
newonlinecourses.science.psu.edu/stat414/node/179
$endgroup$
– saulspatz
Jan 13 at 22:12
add a comment |
$begingroup$
What you've written is certainly correct, but I wonder if it's the answer your instructor is looking for. Have you been studying anything about approximating probabilities? The central limit theorem, for instance?
$endgroup$
– saulspatz
Jan 13 at 16:20
$begingroup$
@saulspatz Yes, I felt like this answer was correct but perhaps not what the question is going for. What would be a way to approximate this using CLT?
$endgroup$
– javafrapp90
Jan 13 at 18:42
$begingroup$
newonlinecourses.science.psu.edu/stat414/node/179
$endgroup$
– saulspatz
Jan 13 at 22:12
$begingroup$
What you've written is certainly correct, but I wonder if it's the answer your instructor is looking for. Have you been studying anything about approximating probabilities? The central limit theorem, for instance?
$endgroup$
– saulspatz
Jan 13 at 16:20
$begingroup$
What you've written is certainly correct, but I wonder if it's the answer your instructor is looking for. Have you been studying anything about approximating probabilities? The central limit theorem, for instance?
$endgroup$
– saulspatz
Jan 13 at 16:20
$begingroup$
@saulspatz Yes, I felt like this answer was correct but perhaps not what the question is going for. What would be a way to approximate this using CLT?
$endgroup$
– javafrapp90
Jan 13 at 18:42
$begingroup$
@saulspatz Yes, I felt like this answer was correct but perhaps not what the question is going for. What would be a way to approximate this using CLT?
$endgroup$
– javafrapp90
Jan 13 at 18:42
$begingroup$
newonlinecourses.science.psu.edu/stat414/node/179
$endgroup$
– saulspatz
Jan 13 at 22:12
$begingroup$
newonlinecourses.science.psu.edu/stat414/node/179
$endgroup$
– saulspatz
Jan 13 at 22:12
add a comment |
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$begingroup$
What you've written is certainly correct, but I wonder if it's the answer your instructor is looking for. Have you been studying anything about approximating probabilities? The central limit theorem, for instance?
$endgroup$
– saulspatz
Jan 13 at 16:20
$begingroup$
@saulspatz Yes, I felt like this answer was correct but perhaps not what the question is going for. What would be a way to approximate this using CLT?
$endgroup$
– javafrapp90
Jan 13 at 18:42
$begingroup$
newonlinecourses.science.psu.edu/stat414/node/179
$endgroup$
– saulspatz
Jan 13 at 22:12