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WorksheetsAvoid the Experimental Errors! — Revision Game
Total questions: 20
Worksheet time: 10mins
What is a positive control?
Sample without treatment
Condition showing a known result
Random sample
Blank sample
What is a negative control?
Receives all treatments
Shows known results
No treatment applied
Always gives positive data
If your negative control shows growth, it indicates...
Your experiment worked
Contamination
The hypothesis is proven
You need more samples
A positive control helps to...
Prove your hypothesis
Confirm the experiment setup works
Avoid biological variation
Increase sample size
Technical replicates mean...
Different biological samples
Repeated measurements of the same sample
Field sample variation
Repeating experiments in another lab
Biological replicates mean...
Same sample measured multiple times
Different biological sources
Same pipette used repeatedly
Reusing control samples
Symbol “n = 3” means:
Three technical replicates only
Three total measurements
Three replicates (biological or technical)
Three experiments failed
Technical replicates check...
Biological variation
Assay consistency
Sample size
Random error
Why is large sample size important?
Makes graphs look better
Increases statistical power
Saves cost
Reduces time
Field sampling should...
Include at least one sample
Represent the population
Use only technical replicates
Have no control
Too few samples cause...
Faster analysis
Type II error
Increased accuracy
Lower bias
Power analysis helps determine...
Proper sample size
Treatment type
Control group
Null hypothesis
Type I error is also known as...
False positive
False negative
Correct rejection
True positive
Type II error is also known as...
False positive
False negative
Correct decision
True negative
Diagnosing a healthy person as sick is...
Type I
Type II
Correct positive
Technical error
Freeing a guilty person in court is...
Type I
Type II
Correct negative
Random error
Rejecting a true null hypothesis = ?
Type I
Type II
True negative
True positive
Accepting a false null hypothesis = ?
Type I
Type II
No error
Random bias
Biological replicates assess experimental noise.
True
False
Type II error can occur when sample size is too small.
True
False
