Final answer:
The shape of the distribution is bell-shaped or normal. The center of the data is described using the mean, median, and mode, which are all located at the same point. The spread of the data can be measured using the standard deviation.
Step-by-step explanation:
The shape of the distribution can be described as a bell-shaped or normal distribution. This means that the graph is symmetric and has a peak in the middle, with the data tapering off towards the tails on either side.
The center of the data can be described using the mean, median, and mode, all of which are located at the same point in a bell-shaped distribution. The spread of the data can be measured using the standard deviation, which quantifies how far the data values are from the mean.
If the number of bars in the graph is changed, it may affect the smoothness of the curve but should not significantly alter the overall shape of the distribution.