For a population with o = 24, how large a sample is necessary to have a standard error that is: %3D Equal to 6 points? n = Equal to 3 points? n = Equal to 2 points? n =

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**Sample Size Calculation for Standard Error**

For a population with a standard deviation (σ) of 24, determine the sample size necessary to achieve a standard error (SE) of:

1. **Equal to 6 points:**
   - \( n = \) [ ]

2. **Equal to 3 points:**
   - \( n = \) [ ]

3. **Equal to 2 points:**
   - \( n = \) [ ]

**Note:** The standard error is calculated using the formula SE = \( \frac{\sigma}{\sqrt{n}} \), where \( σ \) is the population standard deviation and \( n \) is the sample size. Adjust \( n \) to achieve the desired SE.
Transcribed Image Text:**Sample Size Calculation for Standard Error** For a population with a standard deviation (σ) of 24, determine the sample size necessary to achieve a standard error (SE) of: 1. **Equal to 6 points:** - \( n = \) [ ] 2. **Equal to 3 points:** - \( n = \) [ ] 3. **Equal to 2 points:** - \( n = \) [ ] **Note:** The standard error is calculated using the formula SE = \( \frac{\sigma}{\sqrt{n}} \), where \( σ \) is the population standard deviation and \( n \) is the sample size. Adjust \( n \) to achieve the desired SE.
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