Random sampling technique is used in thesis for several reasons:

1. **Representativeness**: Random sampling ensures that every member of the population has an equal chance of being selected. This makes the sample representative of the entire population, which is crucial for generalizing the findings.

2. **Reducing Bias**: Since the selection is random, it reduces the chance of bias. If the researcher were to select the sample, they might unconsciously choose individuals that support their hypothesis, leading to biased results.

3. **Simplicity**: Random sampling is a simple method that does not require any knowledge about the population other than its size. This makes it easy to implement.

4. **Validity**: Random sampling increases the validity of the research. If the sample is representative, the results obtained from the sample can be validly inferred to the population.

5. **Reliability**: Random sampling also increases the reliability of the research. If the study were to be repeated with another random sample, the results should be similar.

In conclusion, random sampling is a powerful tool for researchers to ensure that their findings are valid, reliable, and representative of the population they are studying.

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Random sampling technique is used in thesis for several reasons:

1. **Representativeness**: Random sampling ensures that every member of the population has an equal chance of being selected. This makes the sample representative of the entire population, which is crucial for generalizing the findings.

2. **Reducing Bias**: Since the selection is random, it reduces the chance of bias. If the researcher were to select the sample, they might unconsciously choose individuals that support their hypothesis, leading to biased results.

3. **Simplicity**: Random sampling is a simple method that does not require any knowledge about the population other than its size. This makes it easy to implement.

4. **Validity**: Random sampling increases the validity of the research. If the sample is representative, the results obtained from the sample can be validly inferred to the population.

5. **Reliability**: Random sampling also increases the reliability of the research. If the study were to be repeated with another random sample, the results should be similar.

In conclusion, random sampling is a powerful tool for researchers to ensure that their findings are valid, reliable, and representative of the population they are studying.

Knowee AI · Accepted Answer

Random sampling technique is used in thesis for several reasons:

1. **Representativeness**: Random sampling ensures that every member of the population has an equal chance of being selected. This makes the sample representative of the entire population, which is crucial for generalizing the findings.

2. **Reducing Bias**: Since the selection is random, it reduces the chance of bias. If the researcher were to select the sample, they might unconsciously choose individuals that support their hypothesis, leading to biased results.

3. **Simplicity**: Random sampling is a simple method that does not require any knowledge about the population other than its size. This makes it easy to implement.

4. **Validity**: Random sampling increases the validity of the research. If the sample is representative, the results obtained from the sample can be validly inferred to the population.

5. **Reliability**: Random sampling also increases the reliability of the research. If the study were to be repeated with another random sample, the results should be similar.

In conclusion, random sampling is a powerful tool for researchers to ensure that their findings are valid, reliable, and representative of the population they are studying.

Youexplain why we use random sampling technique on our thesis

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