Real-life Graphs

Understanding Real-life Graphs

  • Real-life graphs are used to illustrate quantitative relationships between two or more variables in everyday life.
  • They can be in different forms such as line graphs, bar graphs, scatter plots, etc.
  • Important: Always observe the x-axis (horizontal axis) and the y-axis (vertical axis). They represent different variables.
  • The title of the graph gives a quick summary of what the graph is all about.
  • The scale and intervals between points on the graph are significant for accuracy. They should be consistent all through.

Interpreting Real-life Graphs

  • Draw conclusions from the trend of the graph. It might be increasing, decreasing, or not changing (constant).
  • If it’s a line graph, recognise if it is a straight line or a curve.
  • If it’s a bar graph, identify which bar is highest, lowest or if there are any noticeable patterns.
  • Look out for outliers in scatter plots. These are points immensely different from the rest.
  • Analyze between points and values to identify correlation. Positive correlation means both variables increase or decrease together while negative correlation indicates that as one variable increases, the other decreases.

Creating Real-life Graphs

  • First, understand the nature of data. Is it discrete or continuous? This will dictate the type of graph.
  • Set up the scale and intervals on both x and y axis. Remember they represent different variables.
  • Plot the data points accurately according to their respective y and x values.
  • Label the graph appropriately. This includes title, axes, and units of measurement.
  • If required, draw a line of best fit in scatter graphs. It should go through as many points as possible to capture the trend.

Applying Real-life Graphs

  • Use real-life graphs for prediction. You can estimate future values or trends based on current data.
  • Employ real-life graphs in decision making. Graphic representation can help evaluate options and consequences.
  • Leverage graphs to succinctly communicate complex data in an easy to perceive way. People can quickly understand the gist from looking at a well-structured graph.