When a sample survey asks people about use of illegal drugs, some people who use drugs will lie and say they do not use drugs because they fear that the information will be given to the police or employers. O This is a nonsampling error that causes bias. O This is a sampling error that increases variability. O This is a nonsampling error that increases variability. O This is a sampling error that causes bias.

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**Title: Understanding Errors in Sample Surveys**

**When a Sample Survey Asks Sensitive Questions:**

In the context of surveys about illegal drug use, consider the following scenario:

When a sample survey asks people about their use of illegal drugs, some individuals who do use drugs may lie and claim they do not use them. This is often due to the fear that their information might be disclosed to the police or employers. This situation leads to different types of errors in survey results.

**Types of Errors:**

- **Nonsampling Error that Causes Bias:**
  - This type of error occurs when respondents provide false information, resulting in skewed data that does not truly represent the population.

- **Sampling Error that Increases Variability:**
  - This error type reflects the natural variability that occurs when comparing different samples from the same population.

- **Nonsampling Error that Increases Variability:**
  - This occurs when nonsampling factors, such as inaccurate responses, contribute to increased inconsistency in the survey results.

- **Sampling Error that Causes Bias:**
  - This type involves biases introduced through the method of sample selection, rather than the responses given.

Understanding these errors is crucial for interpreting survey results accurately, particularly when dealing with sensitive topics.
Transcribed Image Text:**Title: Understanding Errors in Sample Surveys** **When a Sample Survey Asks Sensitive Questions:** In the context of surveys about illegal drug use, consider the following scenario: When a sample survey asks people about their use of illegal drugs, some individuals who do use drugs may lie and claim they do not use them. This is often due to the fear that their information might be disclosed to the police or employers. This situation leads to different types of errors in survey results. **Types of Errors:** - **Nonsampling Error that Causes Bias:** - This type of error occurs when respondents provide false information, resulting in skewed data that does not truly represent the population. - **Sampling Error that Increases Variability:** - This error type reflects the natural variability that occurs when comparing different samples from the same population. - **Nonsampling Error that Increases Variability:** - This occurs when nonsampling factors, such as inaccurate responses, contribute to increased inconsistency in the survey results. - **Sampling Error that Causes Bias:** - This type involves biases introduced through the method of sample selection, rather than the responses given. Understanding these errors is crucial for interpreting survey results accurately, particularly when dealing with sensitive topics.
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