Final answer:
Without the actual figure of the histogram or specific details regarding its shape, we cannot definitively state if it is positively skewed, negatively skewed, or symmetric. We need to analyze elements like the mean, median, and mode alignment or the presence of tails to determine the histogram's shape.
The correc6t answer is none of all.
Step-by-step explanation:
To determine the shape of a histogram, we should look for symmetry, skewness, and the presence of any modes. A histogram that is positively skewed means that there are more low values, and the tail of the distribution extends to the right. Conversely, a negatively skewed histogram indicates more high values, with a tail that extends to the left. A symmetric histogram would have mirror-image halves and typically has the mean and median at the same point. If the histogram is unimodal (having one mode), and that mode coincides with the mean and median, it further reinforces the symmetry of the distribution.
Without the actual histogram or additional information about the shape of the distribution, it is impossible to determine with certainty if the histogram is positively skewed, negatively skewed, or symmetric. However, based on the provided details, if the mean, median, and mode are the same, this would indicate a symmetric distribution. On the other hand, if there is a noticeable tail in one direction, it would suggest skewness in that direction.