thes the population mean, μ. F. The distribution of means will approximately follow the distribution of the variable being sampled. When does the Central Limit Theorem apply? Select all appropriate conditions below. A. The Central Limit Theorem applies only to variables that are normally distributed. B. The Central Limit Theorem applies for suitably large sample sizes. A common threshold is n> 30. C. The Central Limit Theorem applies for suitably small sample sizes. A common threshold is n < 30. D. The Central Limit Theorem applies to variables with any distribution (not necessarily a normal distribution).

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**What is the Central Limit Theorem? When does it apply?**

Suppose that many random samples of size n for a variable are taken and the distribution of means of each sample is recorded. Select all statements that are part of the Central Limit Theorem below:

- ✅ A. The distribution of means will be approximately a normal distribution.
- ✅ B. The standard deviation of the distribution of means approaches σ / √n, where σ is the standard deviation of the population.
- ⬜ C. The standard deviation of the distribution of means approaches σ, where σ is the standard deviation of the population.
- ⬜ D. The mean of the distribution of means approaches the population mean, μ / √n.
- ✅ E. The mean of the distribution of means approaches the population mean, μ.
- ⬜ F. The distribution of means will approximately follow the distribution of the variable being sampled.

**When does the Central Limit Theorem apply? Select all appropriate conditions below:**

- ⬜ A. The Central Limit Theorem applies only to variables that are normally distributed.
- ✅ B. The Central Limit Theorem applies for suitably large sample sizes. A common threshold is n > 30.
- ⬜ C. The Central Limit Theorem applies for suitably small sample sizes. A common threshold is n < 30.
- ✅ D. The Central Limit Theorem applies to variables with any distribution (not necessarily a normal distribution).
Transcribed Image Text:**What is the Central Limit Theorem? When does it apply?** Suppose that many random samples of size n for a variable are taken and the distribution of means of each sample is recorded. Select all statements that are part of the Central Limit Theorem below: - ✅ A. The distribution of means will be approximately a normal distribution. - ✅ B. The standard deviation of the distribution of means approaches σ / √n, where σ is the standard deviation of the population. - ⬜ C. The standard deviation of the distribution of means approaches σ, where σ is the standard deviation of the population. - ⬜ D. The mean of the distribution of means approaches the population mean, μ / √n. - ✅ E. The mean of the distribution of means approaches the population mean, μ. - ⬜ F. The distribution of means will approximately follow the distribution of the variable being sampled. **When does the Central Limit Theorem apply? Select all appropriate conditions below:** - ⬜ A. The Central Limit Theorem applies only to variables that are normally distributed. - ✅ B. The Central Limit Theorem applies for suitably large sample sizes. A common threshold is n > 30. - ⬜ C. The Central Limit Theorem applies for suitably small sample sizes. A common threshold is n < 30. - ✅ D. The Central Limit Theorem applies to variables with any distribution (not necessarily a normal distribution).
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