Section 7.4

Normal Approximation to the Binomial

Use the normal distribution to approximate binomial probabilities when the sample size is large enough.

1

Criteria for Use

The binomial random variable is approximately normal if the following condition is met:

If this condition is not met, the approximation may be inaccurate. Use exact binomial calculations or technology instead.

2

Parameters

When using the normal approximation, the binomial's mean and standard deviation become the normal's parameters:

Mean
Standard Deviation
3

Correction for Continuity

Since a continuous curve (normal) is used to approximate discrete values (binomial), you must add or subtract 0.5 from x. This is called the continuity correction.

To find

To find

Example: For , calculate using the normal distribution.

4

Try It Yourself

Normal Approximation Calculator

Approximation Valid

≥ 10

Parameters

μ = np:20.00
σ = √np(1-p):3.4641
Loading chart...
Exact Binomial
0.561035
Normal Approximation
0.557383
Continuity Correction Applied

For P(X ≤ 20), we use P(X < 20.5). Z = (20.5 - 20.00) / 3.46 = 0.1443

Adaptive Engine

LogicLens Practice Suite

Log in to Access Adaptive Practice

Our AI engine generates unique practice problems based on your progress.