Z = | X - np |
√np(1 - p) |
Calculate the Z score using the Normal Approximation to the Binomial distribution given:
n = 10 and p = 0.4 with 3 successes
with and without the Continuity Correction Factor
Since q = 1 - p, we have n(1 - p) = 10(1 - 0.4)
nq = 10(0.6)
nq = 6
Since np and nq are both not greater than 5, we cannot use the Normal Approximation to the Binomial Distribution.
μ = np
μ = 10 x 0.4
μ = 4
σ2 = np(1 - p)
σ2 = 10 x 0.4 x (1 - 0.4)
σ2 = 4 x 0.6
σ2 = 2.4
σ = √σ2 = √np(1 - p)
σ = √2.4
σ = 1.5492
Using the mean (np) = 4 and the standard deviation √np(1 - p) = 1.5492 and 3 successes calculated above, we can find our Z score
Z = | 3 - 4 |
1.5492 |
Z = | -1 |
1.5492 |
Z = -0.6455
Using our z-score calculator for P(Z < -0.6455)
Using our z-score calculator for P(Z > -0.6455)
Z = | X - 0.5 - np |
√np(1 - p) |
Z = | 3 - 0.5 - 4 |
1.5492 |
Z = | -1.5 |
1.5492 |
Z = -0.9682
Using our z-score calculator for P(Z < -0.9682)
Using our z-score calculator for P(Z > -0.9682)