Compute the standard error for sample means from a population with mean u = 80 and standard deviation o = 25 for sample sizes of n = 35, n = 230, and n = 1000. Round your answers to two decimal places. Sample Size Standard Error n = 35: i n = 230: i n = 1000: i

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**Impact of Sample Size on Accuracy**

Compute the standard error for sample means from a population with mean \( \mu = 80 \) and standard deviation \( \sigma = 25 \) for sample sizes of \( n = 35 \), \( n = 230 \), and \( n = 1000 \).

Round your answers to two decimal places.

| Sample Size | Standard Error |
|-------------|----------------|
| \( n = 35 \) | [Input Field]  |
| \( n = 230 \) | [Input Field]  |
| \( n = 1000 \) | [Input Field]  |

In this exercise, you'll calculate how the standard error changes as the sample size increases. Use the formula for standard error: 

\[ SE = \frac{\sigma}{\sqrt{n}} \]

Where:
- \( SE \) is the standard error
- \( \sigma \) is the standard deviation
- \( n \) is the sample size

This will demonstrate the impact of different sample sizes on the accuracy of sample means.
Transcribed Image Text:**Impact of Sample Size on Accuracy** Compute the standard error for sample means from a population with mean \( \mu = 80 \) and standard deviation \( \sigma = 25 \) for sample sizes of \( n = 35 \), \( n = 230 \), and \( n = 1000 \). Round your answers to two decimal places. | Sample Size | Standard Error | |-------------|----------------| | \( n = 35 \) | [Input Field] | | \( n = 230 \) | [Input Field] | | \( n = 1000 \) | [Input Field] | In this exercise, you'll calculate how the standard error changes as the sample size increases. Use the formula for standard error: \[ SE = \frac{\sigma}{\sqrt{n}} \] Where: - \( SE \) is the standard error - \( \sigma \) is the standard deviation - \( n \) is the sample size This will demonstrate the impact of different sample sizes on the accuracy of sample means.
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