Module 1: Practical Skills In Biology ⚪️ Flashcards
(33 cards)
How to plan a valid method
- Select the most appropriate apparatus
- Outline the exact techniques of how to use the apparatus
- Identify the IV and control variables
- Have a suitable control experiment to demonstrate that only the IV is causing any change to the results
Syringe
- used for measuring small volumes
- it is more accurate and precise than a measuring cylinder
- has a higher resolution and will therefore result in a lower percentage uncertainty
Uncertainty
To work out uncertainty you must find the smallest increment of measurement on your
measurement device and then divide it by two
Quantitative observations
- numerical
Independent variable
The only value that should be “changed”throughout the experiment
Qualitative observations
- descriptions
e.g. colours
Precision
- How close the agreement is between several measured values
- You can only determine if your results are precise by repeating the
measurement
-Reducing the effect of random errors improves precision.
Accuracy
How close a reading is to the true value
Dependent variable
This is the variable that is measured to determine the result of the experiment
Control variable
Any values that affect the result of your experiment should be controlled or monitored
Mean
- A measure of the average
The sum of all the values divided by
the number of values in the data set
Median
- a measure of the average
- the middle value when the data is ranked
Mode
- a measure of the average
- the value that occurs most often in a data set
Standard deviation
Measures the spread of data around the mean value
- very useful when comparing consistency between different data sets
Anomaly
An outlier in a set of results
Analysing results
- observe
- record
- process data
- plot suitable graph
Processing data
- this includes calculating the mean,median or mode
- it can also include calculating the standard deviation and statistics
- from this , the results can be interpreted
Plotting a graph
-Select the correct data for each axis
-Use an appropriate scale
-Lable both axis and include units
-Draw an accurate line of best fit
- (curved or straight) if appropriate
Evaluating data
Identifying patterns in data that do or do not fit suggested conclusions
Methods of evaluating data
Are there any anomalies?
Does the method have limitations?
Was the practical technique precise and accurate?
Is there information on percentage error or uncertainties?
Is there a standard deviation or
statistic?
Suggesting improvements to methods
Review the method and look for changes to equipment or techniques that could result in more accurate data
For example: more repeats , ensuring no bias
Control experiment
- A test conducted exactly the same as the test experiment, but with the factor causing the change removed
- Used to compare data
- Used to prove any changes are due to the independent variable
How is mass measured ?
Balance / scales
How is time measured ?
Stop clock /watch