Suppose that population standard deviation of 6.6 hours. The population distribution is assumed to be normal. firm ddes Sstudy NOTE: If you are using a Student's t-distribution, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) O Part (a) O Part (b) O Part (c) O Part (d) Construct a 90% confidence interval for the population mean time to complete the tax forms. ) State the confidence interval. (Round your answers to two decimal places.) (i) Sketch the graph. (Round your answers to two decimal places.) C.L. =

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Can someone please help walk me through how I complete this graph?

**Constructing a Confidence Interval for Population Mean**

To determine the time needed to complete tax forms, an accounting firm conducts a random survey of 100 people. The sample mean time is 22.5 hours with a known population standard deviation of 6.6 hours. Assume the population is normally distributed.

### Steps to Construct a 90% Confidence Interval:

**1. State the Confidence Interval:**
   - Calculate the interval using the formula for a confidence interval: 
     \[
     \text{Confidence Interval} = \bar{x} \pm z \times \left(\frac{\sigma}{\sqrt{n}}\right)
     \]

**2. Sketch the Graph:**
   - The graph is a standard normal distribution curve:
     - **Center:** \(\bar{x}\) (sample mean)
     - **Alpha (\(\alpha\)):** The level of significance, which determines the endpoints for a 90% confidence interval.
     - **\(\alpha/2\):** Areas in the tails of the distribution.

**3. Calculate the Error Bound:**
   - Use the formula for the error bound:
     \[
     \text{Error Bound} = z \times \left(\frac{\sigma}{\sqrt{n}}\right)
     \]
   - **Z value** at 90% confidence level can be obtained from the z-table.

### Key Parameters:
- **Sample Size (\(n\)):** 100
- **Sample Mean (\(\bar{x}\)):** 22.5 hours
- **Population Standard Deviation (\(\sigma\)):** 6.6 hours
- **Confidence Level (C.L.):** 90%

By following these steps, you can determine the range within which the true mean time to complete the tax forms is likely to fall, with 90% confidence.
Transcribed Image Text:**Constructing a Confidence Interval for Population Mean** To determine the time needed to complete tax forms, an accounting firm conducts a random survey of 100 people. The sample mean time is 22.5 hours with a known population standard deviation of 6.6 hours. Assume the population is normally distributed. ### Steps to Construct a 90% Confidence Interval: **1. State the Confidence Interval:** - Calculate the interval using the formula for a confidence interval: \[ \text{Confidence Interval} = \bar{x} \pm z \times \left(\frac{\sigma}{\sqrt{n}}\right) \] **2. Sketch the Graph:** - The graph is a standard normal distribution curve: - **Center:** \(\bar{x}\) (sample mean) - **Alpha (\(\alpha\)):** The level of significance, which determines the endpoints for a 90% confidence interval. - **\(\alpha/2\):** Areas in the tails of the distribution. **3. Calculate the Error Bound:** - Use the formula for the error bound: \[ \text{Error Bound} = z \times \left(\frac{\sigma}{\sqrt{n}}\right) \] - **Z value** at 90% confidence level can be obtained from the z-table. ### Key Parameters: - **Sample Size (\(n\)):** 100 - **Sample Mean (\(\bar{x}\)):** 22.5 hours - **Population Standard Deviation (\(\sigma\)):** 6.6 hours - **Confidence Level (C.L.):** 90% By following these steps, you can determine the range within which the true mean time to complete the tax forms is likely to fall, with 90% confidence.
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