Statistics

Sampling Distribution of the Sample Proportion Calculator

Find the mean and standard error of a sample proportion.

Parameters Live Compute
Calculated Output
Mean 0.4
Standard error 0.049
Formula: mean = p; SE = √(p(1−p)/n)
Step-by-Step Breakdown
1. Values used:
2. Population proportion = 0.4
3. Sample size = 100
4.
5. Mean = (0.4 / 100) x 100 = 0.004 x 100 = 0.4
6. Standard error = 0.049
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The distribution of sample proportions is centered on p with a predictable spread.

The math behind it

mean = p, standard error = √(p(1−p)/n). It's approximately normal when np and n(1−p) exceed ~10.

Worked Example

p 0.4, n 100 → mean 0.4, SE ≈ 0.049.

Frequently Asked Questions

When is it normal?

When both np ≥ 10 and n(1−p) ≥ 10.

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