Data Handling Class 3

What type of graph uses bars to represent data?

• Bar graph

• Line graph

• Pie chart

• Scatter plot

Which subtopic of data handling involves using pictures to represent data?

• Data Visualization

• Data Cleansing

• Data Aggregation

• Data Mapping

What is the purpose of tally marks in data representation?

• To count occurrences or keep track of quantities.

• To bake cookies

• To predict the weather

• To write a novel

In a bar graph, what does the length of each bar represent?

• The value of the data

• The font size of the label

• The width of the bar

• The color of the bar

How are pictographs different from bar graphs?

• Pictographs use numbers, while bar graphs use pictures.

• Pictographs are 3D, while bar graphs are 2D.

• Pictographs are used for qualitative data, while bar graphs are used for quantitative data.

• Pictographs use pictures or symbols, while bar graphs use bars.

When would you use tally marks instead of a bar graph?

• When you need to show trends over time

• When you need to compare multiple categories

• When you need to quickly count occurrences of a specific item or event.

• When you want to display continuous data

What is the key feature of a pictograph?

• Uses pictures or symbols

• Uses only numbers

• Uses only text

• Uses sounds instead of pictures

How can you visually compare data using a bar graph?

• Use a line graph instead of bars

• Represent values on the x-axis and categories on the y-axis

• Use different colors for each category without varying bar lengths

• Represent different categories on the x-axis and corresponding values on the y-axis with bars of varying lengths.

What do tally marks help in counting?

• Tally marks help in counting by drawing circles

• Tally marks help in counting by writing words

• Tally marks help in counting by representing each item with a vertical line or stroke.

• Tally marks help in counting by using Roman numerals

What is the advantage of using pictographs in data representation?

• Enhanced visual appeal and improved accessibility for various audiences.

• Enhanced security and protection of sensitive information.

• Reduced complexity and improved data interpretation.

• Increased accuracy and precision in data representation.