Use the t-distribution to find a confidence interval for a mean u given the relevant sample results. Give the best point estimate for u, the margin of error, and the confidence interval. Assume the results come from a random sample from a population that is approximately normally distributed. A 99% confidence interval for u using the sample results = 90.3, s = 34.2, and n = 15 Round your answer for the point estimate to one decimal place, and your answers for the margin of error and the confidence interval to two decimal places. point estimate = margin of error =

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### Educational Resource: Calculating Confidence Intervals using the t-Distribution

**Topic: Confidence Intervals**

---

**Current Attempt in Progress**

**Instructions:**

You are required to use the t-distribution to calculate a confidence interval for a mean (\(\mu\)) given specific sample results. Provide the best point estimate for \(\mu\), the margin of error, and the confidence interval. Assume the results are drawn from a random sample of a population that is approximately normally distributed.

**Given Data:**
- Sample Mean (\(\overline{x}\)): 90.3
- Sample Standard Deviation (\(s\)): 34.2
- Sample Size (\(n\)): 15

Calculate a **99% confidence interval for \(\mu\)** using the sample results provided.

**Steps:**

1. **Determine the Point Estimate:**
   - The point estimate is typically the sample mean (\(\overline{x}\)).

2. **Calculate the Margin of Error (E):**
   - The margin of error can be calculated using the formula:
     \[
     E = t_{\alpha/2} \left( \frac{s}{\sqrt{n}} \right)
     \]
     where \(t_{\alpha/2}\) is the t-score for a 99% confidence level and \((n-1)\) degrees of freedom.

3. **Construct the Confidence Interval:**
   - Calculate the lower and upper bounds of the confidence interval:
     \[
     (\overline{x} - E, \overline{x} + E)
     \]

**Inputs Required:**

- **Point Estimate (\(\overline{x}\))**:
  - Enter the sample mean as the point estimate to one decimal place.

- **Margin of Error**:
  - Enter the calculated margin of error.

- **Confidence Interval**:
  - Enter the lower and upper bounds of the 99% confidence interval to two decimal places.

**Input Fields:**

- **Point Estimate**:
  ![Input Field](path/to/image)
  - Example Format: 90.3

- **Margin of Error**:
  ![Input Field](path/to/image)
  - Example Format: ±3.0

- **99% Confidence Interval**:
  - Lower Bound: ![Input Field](path/to/image)
  - Upper Bound: ![Input Field](path/to/image)
  - Example
Transcribed Image Text:### Educational Resource: Calculating Confidence Intervals using the t-Distribution **Topic: Confidence Intervals** --- **Current Attempt in Progress** **Instructions:** You are required to use the t-distribution to calculate a confidence interval for a mean (\(\mu\)) given specific sample results. Provide the best point estimate for \(\mu\), the margin of error, and the confidence interval. Assume the results are drawn from a random sample of a population that is approximately normally distributed. **Given Data:** - Sample Mean (\(\overline{x}\)): 90.3 - Sample Standard Deviation (\(s\)): 34.2 - Sample Size (\(n\)): 15 Calculate a **99% confidence interval for \(\mu\)** using the sample results provided. **Steps:** 1. **Determine the Point Estimate:** - The point estimate is typically the sample mean (\(\overline{x}\)). 2. **Calculate the Margin of Error (E):** - The margin of error can be calculated using the formula: \[ E = t_{\alpha/2} \left( \frac{s}{\sqrt{n}} \right) \] where \(t_{\alpha/2}\) is the t-score for a 99% confidence level and \((n-1)\) degrees of freedom. 3. **Construct the Confidence Interval:** - Calculate the lower and upper bounds of the confidence interval: \[ (\overline{x} - E, \overline{x} + E) \] **Inputs Required:** - **Point Estimate (\(\overline{x}\))**: - Enter the sample mean as the point estimate to one decimal place. - **Margin of Error**: - Enter the calculated margin of error. - **Confidence Interval**: - Enter the lower and upper bounds of the 99% confidence interval to two decimal places. **Input Fields:** - **Point Estimate**: ![Input Field](path/to/image) - Example Format: 90.3 - **Margin of Error**: ![Input Field](path/to/image) - Example Format: ±3.0 - **99% Confidence Interval**: - Lower Bound: ![Input Field](path/to/image) - Upper Bound: ![Input Field](path/to/image) - Example
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