Year 8 Science · Unit 4 · Lesson 4

Constructing Data Tables

Challenge Worksheet

Name
Date
Class

Learning Goals

Design a data table

Construct a complete blank data table for the following investigation. Include all required features: a descriptive title, correct column headings with units, the independent variable in the first column, three trial columns, an Average column, and a row for each IV value.

Investigation

A researcher tests five fertiliser concentrations (0%, 0.5%, 1%, 2%, and 5%) to see how each affects plant height (measured in cm) after four weeks. Each concentration is tested on three separate plants (Trial 1, Trial 2, Trial 3).

Draw or write your complete table structure in the scaffold area below. Include the title above the table.

Hint: you need 5 columns total — IV + Trial 1 + Trial 2 + Trial 3 + Average

Evaluate — clarity and completeness for peer review

The problem

A scientific journal rejected a Year 8 student's submission because the data table was described as "incomplete and unclear." Using the criteria from this lesson, explain what a complete and clear data table requires, and why each requirement matters specifically for peer review (other scientists checking your work) and reproducibility (other scientists repeating your experiment).

Write your response in the three boxes below. Each box addresses a different aspect.

(a) What structural features make a data table "complete"? Identify at least three and explain why removing any one would make peer review harder.

Challenge 3 marks

(b) Why is recording individual trial values (not just the average) essential for reproducibility? What information is lost when only averages are reported?

Challenge 3 marks

(c) A reviewer cannot understand what the numbers mean because units are missing. Explain how missing units could lead to a completely wrong interpretation of the results. Use a specific example in your answer.

Challenge 4 marks

Wrap Up

In one sentence, what was the main idea of this lesson?