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2 cards from this section. Quick, good the night before a test.
What is the normal approximation for a binomial distribution with n = 40 and p = 0.5?
Calculate np for the mean and np(1-p) for the variance.
In a binomial distribution with n = 50 and p = 0.4, how would you express P(X β€ 10)?
Adjust by -0.5 and +0.5.
What is the approximation for X in a binomial distribution with n = 50 and p = 0.4?
Calculate np and np(1-p) first.
Using continuity correction, how would P(10 β€ X β€ 20) be expressed?
Remember the adjustments made for P(X).
A company makes 1,000 light bulbs, with a 2% defect rate. Approximate the probability of finding at least 21 defective bulbs in a sample using normal approximation and continuity correction.
Use z-score formula to find the probability.
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