A Level Biology AQA
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106 topics in 11 modules
☑️ Handling data 13 topics
- Planning Investigations: Hypothesis Formation
- Planning Investigations: Variables
- Planning Investigations: Risk Assessments
- Experimental Methods: Data Collection
- Experimental Methods: Replicates and Anomalies
- Experimental Methods: Error Calculation
- Analysis of Data: Statistical Testing
- Analysis of Data: Representing Data Graphically
- Analysis of data: Interpreting Data
- Evaluation and Conclusion: Drawing Conclusions from Results
- Evaluation and Conclusion: Evaluating Method and Suggesting Improvements
- Ethical Considerations in Scientific Investigations
- Use and limitations of Peer Review in scientific publications
☑️ Required practicals 12 topics
- 1 - Rate of an Enzyme Controlled Reaction
- 2 - Calculating Mitotic Index using Plant Cells
- 3 - Investigating Water Potential
- 4 - Investigating Cell Membrane Permeability
- 5 - Dissection
- 6 - Aseptic Techniques
- 7 - Chromatography of Photosynthetic Pigments
- 8 - Dehydrogenase Activity in Chloroplasts
- 9 - Respiration in Single Celled Organisms
- 10 - Investigating Simple Animal Responses
- 11 - Measuring Concentration of Glucose using a Calibration Curve
- 12 - Effect of Different Variables on Species Distribution
☑️ Biological Molecules 10 topics
- Monomers and Polymers
- Carbohydrates
- Lipids
- Proteins
- Enzyme Action
- Structure of DNA and RNA
- DNA Replication
- Adenosine Triphosphate (ATP)
- Water
- Inorganic Ions
☑️ Cells 12 topics
- Cell Structure: Eukaryotic Cells
- Cell Structure: Prokaryotic Cells and Viruses
- Cell Structure: Methods of Studying Cells
- Cell Division: Stages of the Cell Cycle
- Cell Division: Stages of Mitosis
- Cell Membrane: Structure
- Cell Membrane: Diffusion, Osmosis, and Transport
- Cells and the Immune System: The Immune System
- Cells and the Immune System: Immunity and vaccines
- Cells and the Immune System: Antibodies in Medicine
- Cells and the Immune System: Interpreting Vaccine and Antibody Data
- Cells and the Immune System: HIV and Viruses
☑️ Exchange and Transport Systems 10 topics
- Surface Area to Volume Ratio
- Gas Exchange Systems
- Disecting Gas Exchange Systems
- Gas Exchange in Humans
- Gas Exchange and Lung Disease
- Risk Factors for Lung Disease
- Digestion and Absorption
- Mass Transport in Animals: The Cardiac Cycle
- Mass Transport in Animals: Risk Factors for Cardiac Disease
- Mass Transport in Plants
☑️ Genetic Information, Variation, and Relationships Between Organisms 9 topics
- DNA, Genes, and Chromosomes
- DNA and Protein Synthesis
- The Chromosome Content of Cells After the First and Second Meiotic Division
- Mitosis and Meiosis
- Random Fertilisation and Genetic Variation
- Genetic Diversity and Adaptation
- Species and Taxonomy
- Biodiversity Within a Community
- Investigating Genetic Diversity
☑️ Energy Transfers In and Between Organisms 8 topics
- Photosynthesis
- Respiration
- Photosynthesis, Respiration, and ATP
- Aerobic Respiration
- Energy Transfer in Ecosystems
- Energy Transfer: Farming Particles and Productions
- Nutrient Cycles
- Nutrient Cycles: Fertilisers and Eutrophication
☑️ Organism Changes in their Environments 11 topics
- Stimuli and Responses: Nervous Communication
- Stimuli and Responses: Responses in Plants and Animals
- Stimuli and Responses: Receptors
- Stimuli and Responses: Control of Heart Rate
- Nervous Coordination: Nerve Impulses
- Nervous Coordination: Synaptic Transmission
- Nervous Coordination: Muscle Contraction
- Homeostasis: Principles and Negative Feedback
- Homeostasis: Control of Blood Glucose Concentration
- Homeostasis: The Kidneys
- Homeostasis: Control of Blood Water Potential
☑️ Genetics, Populations, Evolution, and Ecoosystems 10 topics
- Genetics: Inheritance
- Genetics: Linkage and Epistasis
- Genetics: The Chi-Squared Test
- Populations: The Hardy-Weinberg Principle
- Populations: Variation and Selection
- Populations: Speciation and Genetic Drift
- Populations in Ecosystems
- Populations in Ecosystems: Variation in Populatioon Size
- Populations in Ecosystems: Succession
- Populations in Ecosystems: Conservation
☑️ The Control of Gene Expression 6 topics
- Gene Mutations
- The Use of Stem Cells in Treating Human Disorders
- Regulation of Transcription and Translation
- Gene Expression and Cancer
- Epigenetic Control of Gene Expression
- Phenotypes
☑️ Using Genome Projects 5 topics
- Recombinant DNA Technology
- Ethical, Financial, Social, and Humanitarian Issues with Recombinant DNA Technology
- DNA Fragments
- Gene Probes and Medical Diagnosis
- Genetic Fingerprinting
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A Level Biology AQA Revision Content
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A Level Biology AQA - Handling data - Planning Investigations: Hypothesis Formation Content Preview
Handling data
Planning Investigations: Hypothesis Formation
Formation of Hypothesis
- A hypothesis is a clear, concise, and testable statement that expresses the expected outcome or prediction for a scientific investigation.
- An effective hypothesis should be based on prior knowledge or observation.
- Hypotheses are often stated as an “If…, then…” statement that predicts the effect of one variable on another.
- The independent variable is the factor that is manipulated or changed during an experiment, while the dependent variable is the factor that is measured.
- Hypothesis should express a cause and effect relationship between the independent and dependent variables.
- The hypothesis is not the end result; rather, it guides the data collection and analysis phase of the research project.
Characteristics of a Valid Hypothesis
- It must be a testable statement—one that can give rise to measurable outcomes.
- It should identify and relate the independent and dependent variables clearly.
- It needs to be based on existing scientific knowledge.
- It should be simple and specific, using precise terminology.
- A valid hypothesis often predicts the anticipated direction of the effect.
Importance of Null Hypothesis
- The null hypothesis (H0) states that there is no relationship or effect of the independent variable on the dependent variable in the investigated population.
- It represents a statement of no difference or no association between variables and serves as the basis of comparison for testing the alternative hypothesis.
- The aim is not necessarily to prove the null hypothesis correct, but to determine whether it can be rejected or not rejected based on the evidence collected.
Alternative Hypothesis
- The alternative hypothesis (H1 or Ha) is the rival claim to the null hypothesis that we believe might be true instead.
- It proposes that there is a significant interaction or relationship between the variables studied.
- It is evaluated based on the end results; if the results provide enough evidence against the null hypothesis, the alternative hypothesis is deemed more likely.
Question: Devise an "If..., then..." hypothesis for an experiment investigating the effect of light intensity on the rate of photosynthesis in sunflower plants, clearly stating the independent and dependent variables.
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