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 =
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
![### Educational Resource: Calculating Confidence Intervals using the t-Distribution
**Topic: Confidence Intervals**
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**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**:

- Example Format: 90.3
- **Margin of Error**:

- Example Format: ±3.0
- **99% Confidence Interval**:
- Lower Bound: 
- Upper Bound: 
- Example](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F915c192e-d8ba-4859-b60e-5e514228af12%2F8166d4ee-41f4-47d5-a531-2a1423aea5d9%2F3zt1oj_processed.jpeg&w=3840&q=75)

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