MATH 8 Q4W3

1. A bar graph is most appropriate for displaying data about:

• Changes over time.

• Comparisons between categories.

• Parts of a whole.

2. A line graph with a steep upward slope generally indicates:

• A sharp decrease in the data.

• A gradual increase in the data.

• No change in the data over time.

• The data is unreliable.

3. A pie chart is best suited for representing data that shows:

• Trends over several weeks.

• Proportions of a whole.

• Changes in temperature throughout the day.

• The results of a yes/no survey.

5. A graph shows the average high temperature in a city for each month of the year. The X-axis is labeled "Month" and the Y-axis is labeled "Temperature (°C)". Which type of graph would be most appropriate for displaying this data?

• Bar graph

• Line graph

• Pie chart

• Scatter plot

6. When interpreting a graph, it's important to consider:

• Only the colors used in the bars or lines.

• The title, labels, and any legend provided.

• The data source without looking at the graph itself.

• Only the overall shape of the graph.

7. If a graph shows a cluster of data points close together, it suggests:

• A strong positive correlation between the variables.

• A weak relationship between the variables.

• The data is inaccurate or unreliable.

• The graph type is not appropriate for the data.

8. When analyzing a graph, identifying outliers refers to:

• Data points that fall outside the main trend.

• The colors used in the graph.

• The title of the graph.

• The labels on the axes.

9. A graph with a missing axis label can be:

• A sign of a poorly designed graph.

• More visually appealing with fewer labels.

• Easily interpreted without any problems.

• Misleading and difficult to understand.

10. The main purpose of a graph is to:

• Replace the need for a data table.

• Confuse the reader with complex visuals.

• Clearly represent data in a visual format.

• Only show positive trends in the data.

10. When looking at a graph, it's important to be aware of:

• Just the overall aesthetics and design of the graph.

• Hidden messages or biases in the data presentation.

• Only the information explicitly stated in the graph title.