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A mean test with known population standard deviation

An independent normal sample with known sigma gives an exact standard-normal mean statistic under the null.

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State the fictional assumptions

Synthetic measurement exercise
InputValue
Sample mean50.4
Null mean50
Known population standard deviation2
Independent normal observations100
Planned alternativeTwo-sided
Planned significance level5%

Calculate uncertainty before standardizing

The standard error is 2/√100 = 0.2 measurement units. The estimated difference is 50.4 − 50 = 0.4 units. Dividing gives z = 0.4/0.2 = 2. The numerator and denominator use the same units, so z itself is dimensionless.

Read the two-sided tail area

For z = 2, the upper standard-normal tail is approximately 0.0227501. The symmetric two-sided p-value is approximately 0.0455003. With the stated p ≤ alpha convention, this is below the planned 0.05 threshold and the exercise rejects the null.

Keep the conclusion tied to the model

The calculation concerns the assumed mean and sampling model. It has not shown that the difference of 0.4 units is economically important, that a treatment caused it, or that the observations are actually independent. If 2 were an estimated sample standard deviation, the exact normal reference used here would no longer follow from these inputs.

Further references