BELLRINGER: (HS RESOURCE 9-12) Reading Graphs and Charts

What type of graph is used to show the change in data over time?

• line graph

• pie chart

• bar graph

• scatter plot

Tags

NGSS.MS-PS3-1

Which type of chart is best suited for comparing different categories of data?

• scatter plot

• bar chart

• pie chart

• line chart

What type of chart is used to represent data as a circle divided into sectors?

• bar chart

• line chart

• scatter plot

• pie chart

Which type of chart is used to show the distribution of data across different categories?

• line chart

• pie chart

• scatter plot

• bar chart

What is the main purpose of a line graph?

• To show the distribution of data

• To compare different categories

• To show the relationship between two variables over a continuous interval.

• To display categorical data

What is the main purpose of a bar chart?

• To display numerical data

• To present detailed information

• To visually represent and compare different categories or groups of data.

• To show trends over time

What is the main purpose of a pie chart?

• To compare different data sets.

• To show the relationship between two variables.

• To display numerical data in a graphical format.

• To visually represent the distribution or proportion of different categories or parts of a whole.

What is the main purpose of a data table?

• To visualize data and create charts.

• To store and retrieve data.

• To organize and present data in a structured format.

• To analyze data and draw conclusions.

Tags

NGSS.MS-PS3-1

How can you interpret the slope of a line graph?

• The slope of a line graph represents the rate of change between two variables.

• The slope of a line graph represents the y-intercept of the line.

• The slope of a line graph represents the average of the two variables.

• The slope of a line graph represents the maximum value of the variables.

Tags

NGSS.MS-PS3-1

What are the advantages of using a bar chart over other types of charts?

• Comparing categorical data and displaying data in discrete categories

• Highlighting outliers or anomalies

• Visualizing proportions or percentages

• Showing trends over time