Public learning track
Sampling Principles and Fieldwork Data in Biology
10th Grade · Science · UK GCSE
5 lessons
Goal
Apply principles of representative sampling, randomisation, sample size optimisation, and systematic transect sampling in ecological investigations.
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Understanding Sampling Bias and the Need for Randomisation
5 lessons
0 of 5 done
- 1Understanding Sampling Bias and the Need for RandomisationUp nextStart
- 2Optimising Sample Size and Evaluating Sample RepresentativenessPremiumNot started yet
- 3Scaling Sample Quadrat Counts to Estimate Total Population SizeNot started yet
- 4Systematic Sampling Along Environmental Gradients Using TransectsNot started yet
- 5Exam Mastery: Evaluating Sampling Strategies in Ecological FieldworkNot started yet
Standards Covered
- UK-GCSE-SCIENCE-BIO-HDM-05General Certificate of Secondary Education (GCSE) · Science · Year 11 (GCSE) · Grade 10Use of mathematics
- UK-GCSE-SCIENCE-BIO-HDM-05-03General Certificate of Secondary Education (GCSE) · Science · Year 11 (GCSE) · Grade 10understand the principles of sampling as applied to scientific data (2d)
Curriculum Framework
10th Grade · Science · UK GCSE
1
5 lessons
Translating Graphical and Numerical Data in Biology
Translate biological data fluently between numerical tables, continuous line graphs, rates, and mathematical expressions.
2
5 lessons
Frequency Tables, Bar Charts, and Histograms in Biology
Construct and interpret frequency tables, comparative bar charts, and histograms representing continuous and discontinuous biological variation.
3
5 lessons
Sampling Principles and Fieldwork Data in Biology
Apply principles of representative sampling, randomisation, sample size optimisation, and systematic transect sampling in ecological investigations.
4
5 lessons
Scatter Diagrams and Correlation in Biological Data
Plot and interpret scatter diagrams, identify positive and negative correlations, draw lines of best fit, and distinguish correlation from causation.
5
5 lessons
Calculating Cross-Sectional Areas in Microbiology
Calculate cross-sectional areas of bacterial colonies and zones of inhibition on agar plates using area formulae, comparing antimicrobial effectiveness.