A used car dealer says that the mean price of a three-year-old sports utility vehicle is $19,000. You suspect this claim is incorrect and find that a random sample of 25 similar vehicles has a mean price of $19,648 and a standard deviation of $1915. Is there enough evidence to reject the claim at a = 0.10? Complete parts (a) through (e) below. Assume the population is normally distributed.
A used car dealer says that the mean price of a three-year-old sports utility vehicle is $19,000. You suspect this claim is incorrect and find that a random sample of 25 similar vehicles has a mean price of $19,648 and a standard deviation of $1915. Is there enough evidence to reject the claim at a = 0.10? Complete parts (a) through (e) below. Assume the population is normally distributed.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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![**Hypothesis Testing Example: Used Car Dealer's Claim**
**Scenario:**
A used car dealer states that the mean price of a three-year-old sports utility vehicle (SUV) is $19,000. There is suspicion regarding the validity of this claim. A random sample of 25 similar vehicles shows a mean price of $19,648 with a standard deviation of $1915. The goal is to determine if there is enough evidence to reject the dealer’s claim at a significance level of \(\alpha = 0.10\). The assumption is that the population is normally distributed.
**Steps to Follow:**
(a) **Determine the Rejection Region(s):**
You need to select the correct rejection region(s) and fill in the answer box(es) within your choice. This should be done by rounding to three decimal places as needed.
Options:
- A. \( \square < t < \square \)
- B. \( t > \square \)
- C. \( t < \square \) and \( t > \square \)
- D. \( t < \square \)
(b) **Find the Standardized Test Statistic \(t\):**
The formula for the standardized test statistic \(t\) is:
\[ t = \frac{\bar{X} - \mu}{s / \sqrt{n}} \]
Where,
- \(\bar{X} = 19,648\) (sample mean)
- \(\mu = 19,000\) (population mean)
- \(s = 1915\) (sample standard deviation)
- \(n = 25\) (sample size)
You need to round the calculated \(t\)-value to two decimal places as needed.
(c) **Decide whether to reject or fail to reject the null hypothesis \(H_{0}\):**
Options:
- A. Reject \( H_0 \) because the test statistic is not in the rejection region(s).
- B. Fail to reject \( H_0 \) because the test statistic is in the rejection region(s).
Click to select your answer(s).
---
**Graphical or Diagram Explanation (if present):**
No graphs or diagrams are provided in the image. The explanation involves understanding hypothesis testing steps and the decision-making process upon obtaining the \( t \)-test results.
This process is important for evaluating claims statistically to make informed decisions based on sample data.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Faf201759-f2f5-4fb2-88d5-f9356a0f1bd1%2F3dc6cbc8-c654-4129-99f9-d9df58549934%2F6nra8ng_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Hypothesis Testing Example: Used Car Dealer's Claim**
**Scenario:**
A used car dealer states that the mean price of a three-year-old sports utility vehicle (SUV) is $19,000. There is suspicion regarding the validity of this claim. A random sample of 25 similar vehicles shows a mean price of $19,648 with a standard deviation of $1915. The goal is to determine if there is enough evidence to reject the dealer’s claim at a significance level of \(\alpha = 0.10\). The assumption is that the population is normally distributed.
**Steps to Follow:**
(a) **Determine the Rejection Region(s):**
You need to select the correct rejection region(s) and fill in the answer box(es) within your choice. This should be done by rounding to three decimal places as needed.
Options:
- A. \( \square < t < \square \)
- B. \( t > \square \)
- C. \( t < \square \) and \( t > \square \)
- D. \( t < \square \)
(b) **Find the Standardized Test Statistic \(t\):**
The formula for the standardized test statistic \(t\) is:
\[ t = \frac{\bar{X} - \mu}{s / \sqrt{n}} \]
Where,
- \(\bar{X} = 19,648\) (sample mean)
- \(\mu = 19,000\) (population mean)
- \(s = 1915\) (sample standard deviation)
- \(n = 25\) (sample size)
You need to round the calculated \(t\)-value to two decimal places as needed.
(c) **Decide whether to reject or fail to reject the null hypothesis \(H_{0}\):**
Options:
- A. Reject \( H_0 \) because the test statistic is not in the rejection region(s).
- B. Fail to reject \( H_0 \) because the test statistic is in the rejection region(s).
Click to select your answer(s).
---
**Graphical or Diagram Explanation (if present):**
No graphs or diagrams are provided in the image. The explanation involves understanding hypothesis testing steps and the decision-making process upon obtaining the \( t \)-test results.
This process is important for evaluating claims statistically to make informed decisions based on sample data.
![### Hypothesis Testing Example
A used car dealer claims that the mean price of a three-year-old sports utility vehicle (SUV) is $19,000. You suspect this claim is incorrect and find that a random sample of 25 similar vehicles has a mean price of $19,648 and a standard deviation of $1915. Is there enough evidence to reject the claim at a 0.10 significance level? Complete parts (a) through (e) below. Assume the population is normally distributed.
#### (a) Write the claim mathematically and identify \( H_0 \) and \( H_a \).
*Which of the following correctly states \( H_0 \) and \( H_a \)?*
- **A.**
- \( H_0: \mu = \$19,000 \)
- \( H_a: \mu \neq \$19,000 \)
- **B.**
- \( H_0: \mu \neq \$19,000 \)
- \( H_a: \mu = \$19,000 \)
- **C.**
- \( H_0: \mu \geq \$19,000 \)
- \( H_a: \mu < \$19,000 \)
- **D.**
- \( H_0: \mu = \$19,000 \)
- \( H_a: \mu > \$19,000 \)
- **E.**
- \( H_0: \mu > \$19,000 \)
- \( H_a: \mu \leq \$19,000 \)
- **F.**
- \( H_0: \mu = \$19,000 \)
- \( H_a: \mu < \$19,000 \)
#### (b) Find the critical value(s) and identify the rejection region(s).
*What is/are the critical value(s), \( t_0 \)?*
- \( t_0 = \) ______
*Use a comma to separate answers as needed. Round to three decimal places as needed.*](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Faf201759-f2f5-4fb2-88d5-f9356a0f1bd1%2F3dc6cbc8-c654-4129-99f9-d9df58549934%2Ffcujxyb_processed.jpeg&w=3840&q=75)
Transcribed Image Text:### Hypothesis Testing Example
A used car dealer claims that the mean price of a three-year-old sports utility vehicle (SUV) is $19,000. You suspect this claim is incorrect and find that a random sample of 25 similar vehicles has a mean price of $19,648 and a standard deviation of $1915. Is there enough evidence to reject the claim at a 0.10 significance level? Complete parts (a) through (e) below. Assume the population is normally distributed.
#### (a) Write the claim mathematically and identify \( H_0 \) and \( H_a \).
*Which of the following correctly states \( H_0 \) and \( H_a \)?*
- **A.**
- \( H_0: \mu = \$19,000 \)
- \( H_a: \mu \neq \$19,000 \)
- **B.**
- \( H_0: \mu \neq \$19,000 \)
- \( H_a: \mu = \$19,000 \)
- **C.**
- \( H_0: \mu \geq \$19,000 \)
- \( H_a: \mu < \$19,000 \)
- **D.**
- \( H_0: \mu = \$19,000 \)
- \( H_a: \mu > \$19,000 \)
- **E.**
- \( H_0: \mu > \$19,000 \)
- \( H_a: \mu \leq \$19,000 \)
- **F.**
- \( H_0: \mu = \$19,000 \)
- \( H_a: \mu < \$19,000 \)
#### (b) Find the critical value(s) and identify the rejection region(s).
*What is/are the critical value(s), \( t_0 \)?*
- \( t_0 = \) ______
*Use a comma to separate answers as needed. Round to three decimal places as needed.*
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