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. =
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. =
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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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.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6d7770a1-2495-4148-9cf6-f0f9c25c2ce5%2Fded69bdc-68a7-483f-9190-c4f656cf1a31%2Fxka1qui_processed.jpeg&w=3840&q=75)
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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