Proctored Nonproctore A study was done on proctored and nonproctored tests. The results are shown in the table. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) and (b) below. H1 H2 33 32 X 78.49 84.99 Is 11.61 18.83 a. Use a 0.01 significance level to test the claim that students taking nonproctored tests get a higher mean score than those taking proctored tests. What are the null and alternative hypotheses? O A. Ho: H1 # H2 O B. Ho: H1 = H2 H1: H1> H2 O D. Ho: H1 =H2 H1: H1 # H2 O C. Ho: H1 = H2 H1: H1
Proctored Nonproctore A study was done on proctored and nonproctored tests. The results are shown in the table. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal. Complete parts (a) and (b) below. H1 H2 33 32 X 78.49 84.99 Is 11.61 18.83 a. Use a 0.01 significance level to test the claim that students taking nonproctored tests get a higher mean score than those taking proctored tests. What are the null and alternative hypotheses? O A. Ho: H1 # H2 O B. Ho: H1 = H2 H1: H1> H2 O D. Ho: H1 =H2 H1: H1 # H2 O C. Ho: H1 = H2 H1: H1
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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![A study was done on proctored and nonproctored tests. The results are shown in the table. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal.
**Table:**
- **Proctored**
- \( \mu_1 \)
- \( n = 32 \)
- \( \bar{x} = 78.49 \)
- \( s = 11.61 \)
- **Nonproctored**
- \( \mu_2 \)
- \( n = 33 \)
- \( \bar{x} = 84.99 \)
- \( s = 18.83 \)
---
**a.** Use a 0.01 significance level to test the claim that students taking nonproctored tests get a higher mean score than those taking proctored tests.
**What are the null and alternative hypotheses?**
- **A.**
\( H_0: \mu_1 \neq \mu_2 \)
\( H_1: \mu_1 < \mu_2 \)
- **B.**
\( H_0: \mu_1 = \mu_2 \)
\( H_1: \mu_1 > \mu_2 \)
- **C.**
\( H_0: \mu_1 = \mu_2 \)
\( H_1: \mu_1 < \mu_2 \)
- **D.**
\( H_0: \mu_1 = \mu_2 \)
\( H_1: \mu_1 \neq \mu_2 \)
**The test statistic, t, is \_\_\_. (Round to two decimal places as needed.)**
**The P-value is \_\_\_. (Round to three decimal places as needed.)**
**State the conclusion for the test.**
- **A.** Reject \( H_0 \). There is sufficient evidence to support the claim that students taking nonproctored tests get a higher mean score than those taking proctored tests.
- **B.** Reject \( H_0 \). There is not sufficient evidence to support the claim that students taking nonproctored tests get a higher mean](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd7f57acd-42b9-466e-a85d-4609f38f005a%2F1818ab8d-0fee-41a0-9ef8-9184340110a5%2Ffagbli8_processed.png&w=3840&q=75)
Transcribed Image Text:A study was done on proctored and nonproctored tests. The results are shown in the table. Assume that the two samples are independent simple random samples selected from normally distributed populations, and do not assume that the population standard deviations are equal.
**Table:**
- **Proctored**
- \( \mu_1 \)
- \( n = 32 \)
- \( \bar{x} = 78.49 \)
- \( s = 11.61 \)
- **Nonproctored**
- \( \mu_2 \)
- \( n = 33 \)
- \( \bar{x} = 84.99 \)
- \( s = 18.83 \)
---
**a.** Use a 0.01 significance level to test the claim that students taking nonproctored tests get a higher mean score than those taking proctored tests.
**What are the null and alternative hypotheses?**
- **A.**
\( H_0: \mu_1 \neq \mu_2 \)
\( H_1: \mu_1 < \mu_2 \)
- **B.**
\( H_0: \mu_1 = \mu_2 \)
\( H_1: \mu_1 > \mu_2 \)
- **C.**
\( H_0: \mu_1 = \mu_2 \)
\( H_1: \mu_1 < \mu_2 \)
- **D.**
\( H_0: \mu_1 = \mu_2 \)
\( H_1: \mu_1 \neq \mu_2 \)
**The test statistic, t, is \_\_\_. (Round to two decimal places as needed.)**
**The P-value is \_\_\_. (Round to three decimal places as needed.)**
**State the conclusion for the test.**
- **A.** Reject \( H_0 \). There is sufficient evidence to support the claim that students taking nonproctored tests get a higher mean score than those taking proctored tests.
- **B.** Reject \( H_0 \). There is not sufficient evidence to support the claim that students taking nonproctored tests get a higher mean
![**Constructing a Confidence Interval for the Mean Score Difference**
In this exercise, we aim to construct a confidence interval suitable for testing the claim that students taking nonproctored tests achieve a higher mean score than those taking proctored tests.
### Confidence Interval Construction
We are asked to find the range for the difference in means:
\[ \_\_\_ < \mu_1 - \mu_2 < \_\_\_ \]
*Note: Please round your answers to two decimal places as necessary.*
### Interpretation
Once the confidence interval is calculated, determine if it supports the conclusion of the test:
Fill in the blanks accordingly:
- **Does the confidence interval support the conclusion of the test?**
- [Dropdown] because the confidence interval contains [Dropdown]
Complete the calculation and interpretation based on the provided statistical data.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd7f57acd-42b9-466e-a85d-4609f38f005a%2F1818ab8d-0fee-41a0-9ef8-9184340110a5%2F4m2r8a9_processed.png&w=3840&q=75)
Transcribed Image Text:**Constructing a Confidence Interval for the Mean Score Difference**
In this exercise, we aim to construct a confidence interval suitable for testing the claim that students taking nonproctored tests achieve a higher mean score than those taking proctored tests.
### Confidence Interval Construction
We are asked to find the range for the difference in means:
\[ \_\_\_ < \mu_1 - \mu_2 < \_\_\_ \]
*Note: Please round your answers to two decimal places as necessary.*
### Interpretation
Once the confidence interval is calculated, determine if it supports the conclusion of the test:
Fill in the blanks accordingly:
- **Does the confidence interval support the conclusion of the test?**
- [Dropdown] because the confidence interval contains [Dropdown]
Complete the calculation and interpretation based on the provided statistical data.
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