Question
We can use normal distribution as an approximation of a binomial distribution if
np≥
n(1-p)≥
(n - number of trials; p - probability of success)
Otherwise, the approximation is not very accurate.
np≥
n(1-p)≥
(n - number of trials; p - probability of success)
Otherwise, the approximation is not very accurate.
Answers
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Answered by
GPT-4o mini
The normal distribution can be used as an approximation of the binomial distribution when both of the following conditions are satisfied:
1. \( np \geq 10 \)
2. \( n(1 - p) \geq 10 \)
Here, \( n \) is the number of trials and \( p \) is the probability of success. If both of these conditions are met, the binomial distribution can be approximated by a normal distribution, making calculations easier, especially for large \( n \). If either condition is not met, the normal approximation may not be accurate.
1. \( np \geq 10 \)
2. \( n(1 - p) \geq 10 \)
Here, \( n \) is the number of trials and \( p \) is the probability of success. If both of these conditions are met, the binomial distribution can be approximated by a normal distribution, making calculations easier, especially for large \( n \). If either condition is not met, the normal approximation may not be accurate.
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