Which type of graph is best suited for comparing data over time?

Graph Justification

Quiz
•
Other
•
8th Grade
•
Medium
Shelley Quan
Used 3+ times
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
pie chart
scatter plot
line graph
bar graph
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When should you use a bar graph instead of a line graph?
When you want to show the trend over time.
When you want to compare two or more variables.
When you want to display continuous data.
When you want to compare discrete categories or show the frequency or count of different categories.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of graph is most appropriate for showing the distribution of a single variable?
line graph
scatter plot
histogram
bar graph
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In which situations would you choose to use a pie chart?
When comparing the sales of different products over time.
When visualizing the relationship between two variables.
When displaying the average temperature for each month of the year.
When showing the proportion or percentage distribution of different categories in a whole.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When is it appropriate to use a scatter plot?
When we want to visualize the relationship between two continuous variables.
When we want to visualize the relationship between a continuous variable and a categorical variable.
When we want to visualize the relationship between two categorical variables.
When we want to visualize the distribution of a single continuous variable.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of graph is commonly used to display data in categories or groups?
line graph
pie chart
scatter plot
bar graph
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When should you use a histogram instead of a bar graph?
When you want to show the relationship between two variables.
When you want to compare different categories or groups of data.
When you want to represent the distribution of continuous data or when you have a large number of data points.
When you want to represent the distribution of categorical data or when you have a small number of data points.
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