Final answer:
The correct answer is option 5. Normal Distribution because the description of the data mentioned fits a bell-shaped curve which is symmetrical and has the mean, median, and mode all located at the center.
Step-by-step explanation:
The correct answer is option 5. Normal Distribution. The description you've provided is characteristic of a normal distribution, which is a bell-shaped curve where data clusters around the mean, median, and mode at the center of the range. In a normal distribution, these measures of central tendency are all equal. This type of distribution also exhibits symmetry, meaning it can be folded along a vertical line at the mean, with both halves mirroring each other.
Skewed distributions, on the other hand, have means and medians that differ, with a long tail extending to one side indicating the direction of the skew. A positively skewed distribution has a tail extending to the right, while a negatively skewed distribution has a tail extending to the left. The symmetrical choice would not be correct in this context since it is a characteristic of a normal distribution but does not itself define the distribution.