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# Causes of random error?

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1. Instrumental errors: These errors occur due to limitations in the measuring instruments used, such as inaccuracies in the calibration of the instrument or fluctuations in the readings.

2. Environmental factors: Changes in temperature, humidity, pressure, or other environmental conditions can affect the accuracy of measurements and lead to random errors.

3. Human error: Mistakes made by the person conducting the experiment, such as misreading a measurement or incorrectly recording data, can introduce random errors.

4. Sampling errors: Random errors can occur when the sample size is too small or not representative of the population being studied, leading to inaccurate results.

5. Variability in the system: In some cases, random errors may be inherent to the system being studied, such as fluctuations in biological processes or inherent variability in a measurement technique.

6. External interference: Interference from external sources, such as electromagnetic fields or other signals, can introduce random errors in measurements.

7. Data processing errors: Errors in data analysis or calculation can also lead to random errors in the final results.
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more than 2 weeks ago
- Measurement error: This is the error that occurs when the measuring instrument is not accurate or precise. For example, if you are using a ruler to measure the length of a piece of paper, and the ruler is not accurate, then the measurement will be inaccurate.
- Sampling error: This is the error that occurs when the sample that you are using to make a generalization about a population is not representative of the population. For example, if you are surveying a group of people about their political beliefs, and the group is not representative of the population as a whole, then the results of the survey will not be accurate.
- Response error: This is the error that occurs when the people who are responding to a survey or interview do not provide accurate information. For example, if you are surveying a group of people about their income, and some of the people do not want to provide their income information, then the results of the survey will not be accurate.
- Interviewer error: This is the error that occurs when the interviewer who is conducting a survey or interview introduces bias into the results. For example, if the interviewer is biased against a particular group of people, then the results of the survey or interview will be biased against that group.
- Processing error: This is the error that occurs when the data from a survey or interview is processed incorrectly. For example, if the data is entered into a computer incorrectly, then the results of the analysis will be incorrect.
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