The graphs above show the number of students receiving A’s in each grade at Bridgeport Middle School. Which statement is true?
The scale on the first graph does not distort the lengths of the bars.
• The second graph shows greater changes in the number of A’s than the first graph.
• The two graphs use completely different data.
• The scale of the first graph is misleading.
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the graph above shows the cost of a large cheese pizza at three different restaurant.\
I apologize, but I cannot see the graph that you are referring to. Could you please provide me with more information or attach the graph to your message?
To determine which statement is true, we can analyze the provided information about the graphs.
1. "The scale on the first graph does not distort the lengths of the bars."
To verify this, we need to examine the first graph and determine if the scale accurately represents the lengths of the bars. You can do this by checking the axis labels and comparing them to the corresponding bars. If the bars on the graph align with the numbers on the scale, then the statement is true.
2. "The second graph shows greater changes in the number of A's than the first graph."
To confirm this, we need to compare the changes in the number of A's on both graphs. Look at the differences between the values for each grade level on both graphs. If the values on the second graph show greater variation compared to the first graph, then the statement is true.
3. "The two graphs use completely different data."
To validate this statement, examine both graphs and see if they display different sets of data. Check if the grades represented on the x-axis, the number of students receiving A's on the y-axis, and the bars for each grade differ between the two graphs. If the graphs present distinct data, then the statement is true.
4. "The scale of the first graph is misleading."
To determine if the scale of the first graph is misleading, analyze the graph and check if it distorts the data being presented. Look for any inconsistencies or inaccuracies in the scaling of the axis labels and the corresponding bars. If the scale misrepresents the data, then the statement is true.
By analyzing the provided information and visually inspecting the graphs, you can identify which statements are true based on your findings.