The correct answer is: to avoid bias and to get a representative sample.

Here's why:

1. "To ensure truthful answers to the survey's questions." - A random sample doesn't necessarily ensure truthful answers. The honesty of the responses depends on the respondents, not the sampling method.

2. "So that we can make causal conclusions." - A random sample can help to make generalizable conclusions, but it doesn't allow for causal conclusions. Causal conclusions require experimental designs where variables are manipulated.

3. "To avoid bias and to get a representative sample." - This is the main reason for using a random sample. It helps to ensure that every individual in the population has an equal chance of being selected, which reduces bias and increases the likelihood that the sample is representative of the population.

4. "To get a significant result." - A random sample doesn't guarantee a significant result. The significance of the result depends on the effect size, the sample size, and the statistical test used, not just the sampling method.

5. "None of the above." - As explained above, the correct answer is to avoid bias and to get a representative sample.

Question

The correct answer is: to avoid bias and to get a representative sample.

Here's why:

1. "To ensure truthful answers to the survey's questions." - A random sample doesn't necessarily ensure truthful answers. The honesty of the responses depends on the respondents, not the sampling method.

2. "So that we can make causal conclusions." - A random sample can help to make generalizable conclusions, but it doesn't allow for causal conclusions. Causal conclusions require experimental designs where variables are manipulated.

3. "To avoid bias and to get a representative sample." - This is the main reason for using a random sample. It helps to ensure that every individual in the population has an equal chance of being selected, which reduces bias and increases the likelihood that the sample is representative of the population.

4. "To get a significant result." - A random sample doesn't guarantee a significant result. The significance of the result depends on the effect size, the sample size, and the statistical test used, not just the sampling method.

5. "None of the above." - As explained above, the correct answer is to avoid bias and to get a representative sample.

Knowee AI · Accepted Answer

The correct answer is: to avoid bias and to get a representative sample.

Here's why:

1. "To ensure truthful answers to the survey's questions." - A random sample doesn't necessarily ensure truthful answers. The honesty of the responses depends on the respondents, not the sampling method.

2. "So that we can make causal conclusions." - A random sample can help to make generalizable conclusions, but it doesn't allow for causal conclusions. Causal conclusions require experimental designs where variables are manipulated.

3. "To avoid bias and to get a representative sample." - This is the main reason for using a random sample. It helps to ensure that every individual in the population has an equal chance of being selected, which reduces bias and increases the likelihood that the sample is representative of the population.

4. "To get a significant result." - A random sample doesn't guarantee a significant result. The significance of the result depends on the effect size, the sample size, and the statistical test used, not just the sampling method.

5. "None of the above." - As explained above, the correct answer is to avoid bias and to get a representative sample.

When conducting a survey, it is important to use a random sample: to ensure truthful answers to the survey's questions. so that we can make causal conclusions. to avoid bias and to get a representative sample. to get a significant result. none of the above.

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