Examples for Errors: Difference between revisions
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Created page with "The following table describes different types of errors and gives examples. {| class="wikitable" |Description |Example |- |rowspan="6"|Reoccuring errors |Experiment can..." |
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{| class="wikitable" | {| class="wikitable" | ||
| | |'''Description''' | ||
|Example | |'''Example''' | ||
|- | |- | ||
|rowspan="6"|Reoccuring | |rowspan="6"|'''Reoccuring errors''' | ||
|Experiment can often not be performed due to missing consumables | |Experiment can often not be performed due to missing consumables | ||
|New researchers use equipment wrongly | |New researchers use equipment wrongly | ||
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|Pipetting error | |Pipetting error | ||
|- | |- | ||
|rowspan="3"|Sudden errors that can be fixed or vanish again | |rowspan="3"|'''Sudden errors that can be fixed or vanish again''' | ||
|Contamination in cell culture | |Contamination in cell culture | ||
|pH-meter not calibrated due to technician on sick leave | |pH-meter not calibrated due to technician on sick leave | ||
|96 well plate dropped | |96 well plate dropped | ||
|- | |- | ||
|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 | ||
Revision as of 19:05, 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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