Intuitive Averaging and Statistical Estimations of Rapid Numerical Sequences

We examined the ability to estimate statistical properties of rapid numerical sequences in three experiments, complemented by computational analysis. We distinguish between intuitive processing (noisy population coding) and analytical processing (capacity-limited, working-memory). We find an impressive ability to estimate sequence-average and SD, using intuitive processing, subject to attentional weighting.