Discover new knowledge and insights with IDNLearn.com's extensive Q&A platform. Ask anything and receive comprehensive, well-informed responses from our dedicated team of experts.

What kind of display would be the best way to represent the data below?

\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}

A. Bar graph
B. Pie chart
C. Line graph
D. Scatter plot


Sagot :

To represent the data about the percentages of different species that are critically endangered and those that are endangered or vulnerable, a bar graph would be the best choice. Here are the reasons why:

1. Comparison: A bar graph makes it easy to compare different categories (types of species) and their respective percentages. You can have two sets of bars for each species type: one for critically endangered and one for endangered or vulnerable.
2. Clarity: Bar graphs are straightforward and clear, making it easy for viewers to understand and interpret the differences in percentages.
3. Quantitative Data: Since the data involves percentages, a bar graph can effectively show the numerical differences between each category.

A possible layout for the bar graph could be:
- Labels on the x-axis for the types of species.
- Two different colored bars for each species, one representing the critically endangered percentage and the other representing the endangered or vulnerable percentage.
- Values or percentages on the y-axis for easy reading of the data.

This visual representation will provide a clear, comparative view of the critical endangerment and vulnerability across the different species.
Your presence in our community is highly appreciated. Keep sharing your insights and solutions. Together, we can build a rich and valuable knowledge resource for everyone. For dependable answers, trust IDNLearn.com. Thank you for visiting, and we look forward to helping you again soon.