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Graphical Data Representation

Authored by Noora Al-shanfari

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Graphical Data Representation
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a histogram used for?

To display the frequency of categorical data.

A histogram is used to display the distribution of numerical data.

To calculate the mean of a dataset.

To show the relationship between two categorical variables.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does a pie chart represent data?

A pie chart represents data as slices of a circle, showing the proportion of each category relative to the total.

A pie chart displays data in a linear format.

A pie chart uses bars to represent data categories.

A pie chart shows data as a series of dots on a grid.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of data is best displayed with a line graph?

Data that is only collected once.

Categorical data that remains constant.

Continuous data that changes over time.

Qualitative data with no numerical value.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of a scatter plot?

To compare multiple groups of data visually.

To display the frequency of categorical data.

To show the distribution of a single variable.

To visualize the relationship between two quantitative variables.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How can bar graphs be used to compare data?

Bar graphs are used to display data in a table format.

Bar graphs are primarily used for qualitative data analysis.

Bar graphs can be used to compare data by displaying different categories side by side, allowing for easy visual comparison of their values.

Bar graphs can only show one category at a time.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the x-axis typically represent in a graph?

Y-axis label

Dependent variable

Independent variable

Graph title

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between qualitative and quantitative data?

Quantitative data is descriptive and non-numeric.

Qualitative data is always numeric and measurable.

Qualitative data can be easily counted and analyzed statistically.

Qualitative data is descriptive and non-numeric, while quantitative data is numeric and measurable.

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