What is the appropriate graph to demonstrate the provided research weight data?

Using a histogram is the appropriate choice for demonstrating research weight data because it allows for the visualization of the distribution of a continuous numerical variable, which in this case is weight. A histogram consists of bars that represent the frequency of data points falling within specified ranges, or bins, facilitating an easy understanding of how the weights are distributed across these ranges.

This graphical representation is particularly effective for identifying patterns, such as skewness, modality (number of peaks), and variations in data spread. The continuous nature of weight data makes it unsuitable for pie charts, which are designed for categorical data. Similarly, a stem-and-leaf plot, while useful for showing individual data points and maintaining the actual values, may not be as effective in conveying the overall distribution as a histogram. A flow chart, on the other hand, is typically used for processes or sequences rather than for statistical data representation. Therefore, the histogram captures the essence of the weight data effectively, making it the ideal choice.