AS91601 (B3.1): “Carry out a practical investigation in a biological context with guidance”
Goal:
The investigation can involve:
The manipulation of variables - isolating a variable to investigate, and controlling the rest
eg. the effect of nutrient levels on plant growth
Investigation of a pattern or relationship
Use of models to predict or explain what might happen in a certain situation, drawing from current knowledge
eg. Predicting the spread of a new strain of COVID-19 based on knowledge on known strains
^^DEVELOPING + CARRYING OUT INVESTIGATION^^
Microorganisms* | Plants | Animals | |
---|---|---|---|
WHAT | Bacteria, fungi, archaea or protistsCANNOT use microorganisms from animal or human sources** | Any plant with photoperiodic needs and life cycle that aligns with investigation period | Small invertebrates - slaters, snails, brine shrimps etc. |
}}PROS}} | Allows investigations to carried out easily and quickly in a test tube, petri dish, or under a microscope | Easy to care for and grow | Easy to find and look after & can give very rapid responses; generally available all year round |
[[CONS[[ | Very strict guidelines for what can be used due to potential pathogenic effectie. CANNOT use microorganisms from animal or human sources** | Can be time consuming |
*Strict guidelines for using certain bacteria due to potential pathogenic effect
**Except those found on skin - these can be used but must remain sealed
You will need to find out the organism(s)’s
Sources of information you can use:
Aspects to guide your research
Abiotic factors | Biotic factors | Adaptations |
---|---|---|
Temperature, Light intensity, Humidity, Exposure, Substrate, Nutrients, Water | Distribution of resources, Density, Age structure, Competitors, Predators, Prey | Features that allow the organism to live successfully in its habitat |
Gather both qualitative & quantitative data (descriptive & numerical) to:→ Know how to care for it→ Determine the appropriate range for IV*→ Correctly control other variables not under investigation | Important if the investigation involves an interaction or relationship | Important for the discussion of the report to explain your results and referenced results using relevant biological ideas & concepts |
*Independent variable
Purpose → hypothesis = prediction statement (if xyz happens, then abc will happen)
Checklist for a good hypothesis
Examples
NOTE: When gathering data, you should be gathering data that either supports or rejects the hypothesis, not prove/disprove
Rule of thumb - Keep it simple but precise
A good method will:
[ ] Be able to be replicated by someone else
→ This could mean adding diagrams so they know how to use
[ ] Use readily available equipment
[ ] Yield straightforward results to be analysed and interpret
[ ] Be clear about what is being measured - the dependent variable
→ What the DV is
→ How it is going to be measured or sampled
[ ] Be clear about what is being manipulated - the independent variable
→ Must be 1 variable only
→ The IV must have a range of values that are to be investigated
[ ] Indicate variables that need to be controlled to ensure an unbiased and valid experiment
→ How the CV will be controlled
[ ] Outline assumptions that need to be made with this study
→ These are variables outside your control despite your best efforts to control them
[ ] Have precise instructions on collection of data
→ What data will be collected?
→ When will it be measured?
→ What is the unit of measurement?
→ How will it be measured? ie. with what equipment?
→ How the raw data will be processed? ie. will it be averaged?
NOTE: Be prepared to trial and adjust your method. This can ensure that
^^COLLECTING, RECORDING AND PROCESSING DATA^^
→ this could be general observations of its behaviour as well as other factors ie. abiotic or biotic, that are present
Raw data
Unprocessed data
Must still be recorded in a retrievable way
Usually presented in a table/chart format that has
→ A full and informative title
→ Each column or row has a full and informative heading with units where applicable
Process data
To process raw data you either calculate the averages and/or standard deviations
These are recorded and discussed in the results and discussion section of the report
After processing, data is used to draw a graph to identify a relationship between the IV and the DV - or the lack of
Examples: Averages, means, graphs drawn to illustrate patterns or trends, results of any statistical analysis
Two kinds of data
[[Line graphs[[ | [[Bar charts[[ | [[Scattergrams[[ |
---|---|---|
Used for continuous data and show how the IV affects the DV | Used for when there are no intermediates because it cannot be quantified or the data is discrete | Used to show if two variables are correlated. The stronger the correlation, the more the dots = clustered in a line. Randomly scattered if no correlation |
[[Histograms[[ | [[Kite diagrams[[ | [[Pie charts[[ |
Used to show relative frequency of different measures. Continuous data only | Used to show abundance of organism changes along a chosen transect (line) | Used to indicate % of various constituents of a whole |
For every graph make sure
^^REPORT STRUCTURE^^
Purpose
Method
Results
Should only contain your processed data - raw data → appendix and logbook
Should include an interpretation of processed data
→ What does the data presented indicate?
Conclusion: short paragraph
Discussion
Explain biological ideas or concepts relevant to investigation
Here is where you can synthesise all the information you have learnt together. Including
*try not to spend too much time describing their study, instead, use their studies to support your findings
Must explain the significance of the results in terms of the biology, not just reiterate/describe
Justification - justify choices you made during the investigation
Appendix
Referencing