Question

Identify two kinds of data the student will likely collect during his experiment. Identify the type of data collected and how the student might present his data.

Answer 1

I don’t know the exact experiment, so I’ll answer generally. A student will usually collect two broad kinds of data:

1) Quantitative (numerical) data
- Examples: measurements such as mass (g), length/height (cm), time (s), temperature (°C), concentration (mol/L), counts (number of seeds germinated).
- Subtypes: continuous (e.g., height, temperature) or discrete/count data (e.g., number of drops, number of survivors).
- How to present:
- Raw-data table with units and replicate columns.
- Summary table (mean, standard deviation/SE, sample size).
- Appropriate graphs:
- Line graph for a variable vs. time or continuous independent variable.
- Scatter plot for relationships between two numerical variables (with trendline).
- Bar chart for comparing means between groups (include error bars).
- Histogram for distribution of measurements.
- Always label axes, include units, legend, title, and show error bars or confidence intervals if applicable.

2) Qualitative (descriptive/categorical) data
- Examples: color change, presence/absence of growth, behavioral observations, texture, smell, categorical ratings (e.g., poor/fair/good).
- How to present:
- Descriptive table or checklist (with timepoints and notes).
- Photographs or annotated diagrams to illustrate key observations.
- Convert to categorical counts for visual summary: bar chart or pie chart showing frequency of each category (e.g., 10 samples green, 3 yellow, 2 brown).
- If qualitative data are ordered (ordinal), present as an ordered bar chart or use median and range.

Tips to include for either kind:
- Record replicates and times for repeatability.
- Include units, sample size (n), and uncertainty estimates for quantitative data.
- Combine: show photos next to numeric plots or tables to help interpret quantitative changes.
- Consider simple statistics (means, SD, t-tests, correlation) if comparing groups or testing relationships.

Brief example (plant growth under different light):
- Quantitative: plant height (cm) measured weekly → table of heights, line graph of mean height vs. time with error bars.
- Qualitative: leaf color recorded each week and photographed → table of color notes and a bar chart of final color categories; include representative photos.