S1.6 - The Normal distribution

The Normal distribution including Knowledge of the shape and the symmetry of the the mean, variance and use of tables distribution is required.; Knowledge of the probability of the cumulative distribution density function is not required.; Derivation of the mean, function. variance and cumulative distribution function is not required.; Interpolation is not necessary.; Questions may involve the solution of simultaneous equations.

Use normal distribution to connect the rule to the data and decision in the question.

This matters because normal distribution determines what can be inferred or chosen; begin with the stated conditions and keep the conclusion tied to the evidence.

Example: apply normal distribution to one small, clearly defined case, show the key step or comparison, and explain the result in words.

Boundary: Normal distribution is not a universal recommendation. Check the syllabus scope, assumptions, units and the limits of the evidence before generalising.