Biology
Presenting and Processing Data
The following notes and link will help you present and process your data correctly:
· Review your data. Try to look at the results of your experiment with a critical eye. Ask yourself these questions:
o Is it complete, or did you forget something?
o Do you need to collect more data?
o Did you make any mistakes?
o What are the possible sources of error? Which errors could have really affected your result and how?
o What realistic improvements could you make to reduce these errors?
· Calculate an average for the different trials of your experiment, if appropriate.
· Make sure to clearly label all tables and graphs. And, include the units of measurement (volts, inches, grams, etc.).
Place your independent variable on the x-axis of your graph and the dependent variable on the y-axData Analysis
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Homework
Please make sure that all the sheets are finished, The questions from the exercise practical and the data sheet on presenting results....
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#76 Summary Of Practical Skills
1 In an experiment investigating the effect of one variable on another, the independent variable is the one that you change and the dependent variable is the one that you measure. All other variables should be controlled (kept constant). 2 The...
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#74 Identifying Sources Of Error
It is very important to understand the difference between experimental errors and 'mistakes'. A mistake is something that you do incorrectly, such as misreading the scale on a thermometer, or taking a reading at the wrong time, or not emptying...
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# 72 Graphs And Other Ways Of Displaying Data
When you have collected your data and completed your results table, you will generally want to display the data so that anyone looking at them can see any patterns. 1. Line graphs Line graphs are used when both the independent variable and...
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#70 Practical Exam - Taking Measurements
You will often be asked to take measurements or readings. In biology, these are most likely to be length, mass, time, temperature or volume. You could be taking readings from a linear scale (for example, reading temperature on a thermometer, reading...
Biology