Difference between revisions of "Examples for Errors"
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|rowspan="3"|'''Errors that are inherent to the process and influence the outcome''' | |rowspan="3"|'''Errors that are inherent to the process and influence the outcome''' | ||
|Uncontrolable, not-measured differences in study subjects, e.g. genetic differences | |Uncontrolable, not-measured differences in study subjects, e.g. genetic differences | ||
| + | |- | ||
|positive control does not exist for this type of experiment | |positive control does not exist for this type of experiment | ||
| + | |- | ||
|Equipment not sensitive enough or with a big variance | |Equipment not sensitive enough or with a big variance | ||
|} | |} | ||
Revision as of 19:06, 5 September 2020
The following table describes different types of errors and gives examples.
| Description | Example |
| Reoccuring errors | Experiment can often not be performed due to missing consumables |
| New researchers use equipment wrongly | |
| Strong bleeding during surgery | |
| Injection fluid is coming out again | |
| Positive control in experiment forgotten | |
| Pipetting error | |
| Sudden errors that can be fixed or vanish again | Contamination in cell culture |
| pH-meter not calibrated due to technician on sick leave | |
| 96 well plate dropped | |
| Errors that are inherent to the process and influence the outcome | Uncontrolable, not-measured differences in study subjects, e.g. genetic differences |
| positive control does not exist for this type of experiment | |
| Equipment not sensitive enough or with a big variance |
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