Year 13 students often run into some common misunderstandings when looking at data displays. Here are a few important points to keep in mind:
Correlation vs. Causation: Just because two things seem to be related doesn’t mean one causes the other.
Misleading Scales: The way graphs are scaled can make differences look bigger or smaller. Always take a close look at the axes.
Sample Size Ignorance: If a study or survey uses a small number of samples, its results might not be accurate.
Ignoring Context: Data can be hard to understand without knowing the background. Make sure to think about the context.
To avoid these mistakes, students should take a careful look at data displays. They should check the scales, think about the sample size, and remember the context before making any conclusions.
Year 13 students often run into some common misunderstandings when looking at data displays. Here are a few important points to keep in mind:
Correlation vs. Causation: Just because two things seem to be related doesn’t mean one causes the other.
Misleading Scales: The way graphs are scaled can make differences look bigger or smaller. Always take a close look at the axes.
Sample Size Ignorance: If a study or survey uses a small number of samples, its results might not be accurate.
Ignoring Context: Data can be hard to understand without knowing the background. Make sure to think about the context.
To avoid these mistakes, students should take a careful look at data displays. They should check the scales, think about the sample size, and remember the context before making any conclusions.