Variables & Experimental Design
Data Tables & Presentation
Graph Skills
Data Analysis & Interpretation
Evaluation & AICE Command Words
100

Identify the independent variable in an investigation measuring the effect of temperature on oxygen solubility.

Temperature

100

Which variable goes in the first column of a data table?

Independent variable

100

What type of graph is used for continuous data?

Line graph

100

Define “anomaly.”

 A result that does not fit the pattern of the data

100

Define “describe.”

State what is seen

200

State one controlled variable in the investigation measuring the effect of temperature on oxygen solubility. 

Salinity / volume of water / pressure

200

Why should units NOT be written inside the body of a table?

 Units belong in headings to avoid repetition and confusion

200

Which axis should the independent variable be plotted on?

X-axis

200

What should you do with an anomalous result?

: Repeat measurement / justify removal

200

Define “explain.”

Give reasons why

300

Explain why controlled variables are important in marine investigations. (2 parts)

  • Ensure only the independent variable affects results
  • Improves validity of conclusions
300

A student records 23.456, 12.3, and 8.1. Correct this data to proper precision.(3 sig figs)

23.5, 12.3, 8.1 (same decimal places)

300

State TWO features of a good scientific graph.

  • Labeled axes with units
  • Appropriate scale
  • Best-fit line 
300

State the trend ( correlation): Salinity increases → density increases.

Positive correlation

300

Define “analyze.”

Identify patterns/trends AND support with data

400

Design a method to investigate the effect of salinity on density of seawater (include 3 steps).

  • Prepare solutions of different salinity
  • Measure density using hydrometer
  • Keep temperature constant
400

List TWO features of a good AICE data table.

  • Clear headings with units
  • Consistent decimal places
  • Trials included
  • Average column
400

Explain why a best-fit line is used instead of joining dots. (2 pts)

  • Shows trend
  • Reduces impact of anomalies 
400

Explain why repeating trials improves reliability. (2 pts)

  • Identifies anomalies
  • Produces consistent results
400

Give one source of systematic error in marine experiments.

Faulty equipment / calibration error

500

Evaluate one limitation of this experimental design and suggest an improvement. (2 pts)

  • Limitation: temperature fluctuations
  • Improvement: use water bath
500

Explain why calculating a mean is important in marine investigations. (2 pts)

  • Reduces random error
  • Improves reliability 
500

A graph shows oxygen decreases as temperature increases. Analyze this relationship. (3 pts)

  • Negative correlation
  • As temperature rises, oxygen solubility decreases
  • Due to increased molecular movement 
500

Analyze a dataset where results vary widely between trials. (3 pts)

  • Low reliability
  • Possible measurement error
  • Needs more repeats or better control 
500

Evaluate the reliability AND validity of an investigation measuring coral growth.

  • Reliability: depends on repeats/consistency
  • Validity: depends on controlled variables
  • Improvements: larger sample size, better controls