Graphing and interpreting results

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16 Terms

1
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What type of graph should be used for continuous data?

Line graph.

2
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What type of graph should be used for discrete or categorical data?

Bar chart.

3
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What type of graph is used to show correlations between two variables?

Scatter graph.

4
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What are the key features of a good graph?

  • Title describing what is being measured.

  • Labeled axes with units.

  • Evenly spaced axes.

  • Points plotted accurately.

  • Line of best fit if appropriate.

5
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What is a line of best fit?

A smooth line drawn through the center of the points to show the overall trend.

6
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When should a line of best fit be straight vs curved

  • Straight: Data shows a linear relationship.

  • Curved: Data shows a non-linear relationship.

7
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How do you describe trends in a graph?

State whether the dependent variable increases, decreases, stays constant, or shows a peak/plateau as the independent variable changes.

8
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How do you spot anomalies?

Points that do not follow the overall pattern/trend.

9
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How should anomalies be treated?

Identify them, suggest possible causes, and decide whether to exclude them from calculations.

10
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How can rates be calculated from graphs?

Rate = change in quantity ÷ time (e.g., oxygen produced per minute).

11
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What is interpolation?

Estimating a value within the range of recorded data.

12
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What is extrapolation?

Estimating a value beyond the range of recorded data (less reliable).

13
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How can gradients be used?

The gradient of a line shows the rate of change. Steeper gradient = faster rate.

14
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Why is a line of best fit important for calculating rates?

It smooths out anomalies and gives a more accurate estimate of trends.

15
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How can two datasets be compared effectively?

  • Look at trends, peaks, and patterns.

  • Compare gradients of lines for rates.

  • Use percentages or ratios if scales are different.

16
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What is the importance of scales on axes?

Choosing appropriate scales ensures data points are spread out and easy to interpret.