4 Analyzing Data and Drawing Conclusions Free Online FlashCards

What makes a data table clear and useful?

Use a specific title and headings that identify each row and column and include units. Record measurements with consistent precision.

Why keep individual trial results when reporting a summary?

Keep each trial result alongside any calculated summary so the original measurements can be checked and variation remains visible.

When is a line graph useful?

A line graph shows how a measured quantity changes across an ordered scale, such as time or light exposure.

What pattern appears in the seedling results?

Mean height rose from 4 cm at 0 hours of light to 7 cm at 4 hours and 10 cm at 8 hours. This shows a pattern in these results, not its cause.

How is the mean calculated?

The mean is the sum of the measurements divided by the number of measurements: $\text{mean}=\frac{\text{sum of measurements}}{\text{number of measurements}}$.

What does the seedling data's 2 cm range show?

Each set of seedling heights had a range of 2 cm. The range describes the spread, while the mean describes an average.

What are three possible sources of uncertainty?

Limited measurement precision, different starting conditions, and too few trials can contribute to uncertainty.

Why doesn't the seedling pattern prove that light caused growth differences?

A relationship between two measured variables does not by itself prove cause and effect. Other factors, such as water, temperature, or soil, could affect seedling growth.

What should a strong evidence-based conclusion include?

A strong conclusion answers the investigation question, connects a claim to specific evidence, distinguishes observations from inferences, and notes important limits or uncertainty.

What should happen when new data conflict with a conclusion?

A conclusion may need revision when new or conflicting data arise; scientific explanations are evaluated against evidence.

What kind of comparison suits a bar graph?

A bar graph compares amounts across separate categories, such as different fertilizer types.

What can a scatterplot help reveal?

A scatterplot displays paired numerical measurements and can help reveal whether the two variables vary together.