Find the minimum sample size n needed to estimate μ for the given values of c, o, and E. c= 0.98, o = 6.2, and E = 1 Assume that a preliminary sample has at least 30 members. n= (Round up to the nearest whole number.)

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**Estimating Minimum Sample Size for Population Mean (μ)**

To determine the minimum sample size \( n \) needed to estimate the population mean \( \mu \), given specific values for confidence level, standard deviation, and margin of error, we will use the following parameters:

- **Confidence Level (c):** 0.98
- **Standard Deviation (\(\sigma\)):** 6.2
- **Margin of Error (E):** 1

A preliminary sample should consist of at least 30 members to ensure a reliable estimate.

**Calculation Requirement:**

The formula to calculate the minimum sample size \( n \) is:

\[ n = \left( \frac{Z_{\alpha/2} \cdot \sigma}{E} \right)^2 \]

Where:
- \( Z_{\alpha/2} \) is the Z-score associated with the desired confidence level (c).
- \(\sigma\) is the population standard deviation.
- \( E \) is the maximum error allowed, known as the margin of error.

**Instruction:**
- Compute \( n \) using the above formula and round up to the nearest whole number.

(Round up to the nearest whole number.)
Transcribed Image Text:**Estimating Minimum Sample Size for Population Mean (μ)** To determine the minimum sample size \( n \) needed to estimate the population mean \( \mu \), given specific values for confidence level, standard deviation, and margin of error, we will use the following parameters: - **Confidence Level (c):** 0.98 - **Standard Deviation (\(\sigma\)):** 6.2 - **Margin of Error (E):** 1 A preliminary sample should consist of at least 30 members to ensure a reliable estimate. **Calculation Requirement:** The formula to calculate the minimum sample size \( n \) is: \[ n = \left( \frac{Z_{\alpha/2} \cdot \sigma}{E} \right)^2 \] Where: - \( Z_{\alpha/2} \) is the Z-score associated with the desired confidence level (c). - \(\sigma\) is the population standard deviation. - \( E \) is the maximum error allowed, known as the margin of error. **Instruction:** - Compute \( n \) using the above formula and round up to the nearest whole number. (Round up to the nearest whole number.)
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