Questions and Answers
Which type of data has infinite possible values in a range?
Continuous data
What is the main source of discrete data?
Counting
Which visual representation of data uses bars to represent numeric values?
Bar graph
Why is scale important in graphs?
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Which type of graph is effective for quickly identifying trends in data?
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Study Notes
- Data in math is often quantitative, involving numbers to represent quantities.
- Quantitative data can be continuous (infinite possible values in a range) or discrete (specific values only).
- Continuous data typically comes from measurement processes, while discrete data comes from counting.
- Data can be organized in data tables, made of columns, rows, and cells to hold information.
- Graphs are visual representations of data, using elements like points, lines, or bars to show information.
- Bar graphs use bars to represent numeric values, with axes labeling the data being displayed.
- Scale in graphs is crucial, as it determines how data is displayed and understood accurately.- Trends in data are patterns like increasing, decreasing, or staying the same, which can be helpful for understanding data on a higher level and making predictions about the future.
- Line graphs are effective for quickly identifying trends in data and for comparing multiple sets of data using different lines.
- Multi-line graphs use different colors or line styles to differentiate between multiple lines representing different data sets.
- Line graphs are not suitable for representing data without a natural sequence on the horizontal axis, as the order of items is not important and any trend observed may not have real meaning.
- Line graphs are commonly used for data that occurs over time, as time forms a natural sequence where trend lines make sense.
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