Normal distribution

A symmetrical, bell-shaped distribution in which scores cluster around the centre and the mean, median and mode coincide.

A symmetrical, bell-shaped distribution in which most values cluster around the centre and fewer occur towards either extreme. The mean, median and mode are equal at the centre.

A normal distribution is a symmetrical, bell-shaped pattern. Most scores cluster near the centre, while very low and very high scores are less common. Not every psychological dataset follows this pattern, so researchers need to examine the distribution rather than assume it is normal.

A symmetrical, bell-shaped distribution in which most scores cluster around the centre and the mean, median and mode are equal.

When describing a normal distribution, state that it is symmetrical and bell-shaped, with most scores near the centre and fewer towards either extreme.

State that the mean, median and mode are equal in a perfect normal distribution, not merely that they are all averages.

Equal mean, median and mode are consistent with a normal distribution, but do not by themselves prove that a dataset has a bell-shaped distribution.

A normal distribution is symmetrical and bell-shaped. Most scores lie near the centre, with fewer scores towards either extreme. The mean, median and mode coincide at the centre, and half the scores lie on each side of the mean.

A symmetrical, bell-shaped distribution in which most scores cluster around the centre, where the mean, median and mode coincide.

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AQA GCSE Psychology · 8182

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OCR GCSE Psychology · J203