To represent the given data effectively, you should consider the type of information and the most appropriate visualization method to make comparisons clear and easy to understand. Here is the data provided in a table format:
[tex]\[
\begin{tabular}{|l|c|c|}
\hline
Type of species & Critically endangered (\%) & Endangered or vulnerable (\%) \\ \hline
Plants & 13 & 70 \\ \hline
Invertebrates & 0 & 35 \\ \hline
Freshwater fish & 9 & 37 \\ \hline
Amphibians & 7 & 30 \\ \hline
Reptiles & 5 & 28 \\ \hline
Birds & 0 & 12 \\ \hline
Mammals & 2 & 21 \\ \hline
\end{tabular}
\][/tex]
Let's evaluate the possible display options:
1. Bar Graph:
- Pros: Bar graphs are useful for comparing different groups side by side. In this case, you can clearly compare the percentages of species in each category of critically endangered and endangered or vulnerable.
- Cons: May become cluttered if there are too many categories, but this doesn't seem to be an issue here.
2. Pie Chart:
- Pros: Pie charts are good for showing proportions within a whole.
- Cons: Less effective for comparing multiple categories side by side. Given there are two percentage categories for each type of species, a pie chart wouldn't be optimal.
3. Line Graph:
- Pros: Useful for showing trends over time.
- Cons: Since this data doesn't involve time series, a line graph would not be appropriate here.
4. Scatter Plot:
- Pros: Great for displaying relationships between two variables.
- Cons: The data does not represent two continuous variables needing a relationship analysis, making scatter plots unsuitable.
Considering the characteristics of your data and the goal of effective comparison of species in terms of their critically endangered and endangered or vulnerable statuses, a bar graph would be the best choice. It allows for a straightforward, visual comparison between the two categories of percentages across different types of species.
