Proctored Nonproctored 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. H2 33 84.99 18.83 32 x 78.49 11.61 O B. Ho: H1 = H2 O A. Ho: H1 # H2 H1: H1 H2 O C. Ho: H1 = H2 H;: H1

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### Analysis of Proctored vs. Nonproctored Tests

A study was conducted on proctored and nonproctored tests. The results are summarized in the following table. The assumption is that two independent simple random samples are taken from normally distributed populations, without assuming equal population standard deviations. Complete parts (a) and (b) below.

#### Data Summary:

|                    | Proctored (\( \mu_1 \)) | Nonproctored (\( \mu_2 \)) |
|--------------------|-------------------------|----------------------------|
| Sample Size (\( n \))       | 32                      | 33                         |
| Mean (\( \bar{x} \))       | 78.49                   | 84.99                      |
| Standard Deviation (\( s \)) | 11.61                   | 18.83                      |

#### Hypothesis Testing

Choose the appropriate 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.** \( H_0: \mu_1 = \mu_2 \) \\
  \( H_1: \mu_1 \neq \mu_2 \) 

**Selection:** **C.**

#### Test Statistic:

- The test statistic, \( t \), is \( -0.43 \). (Rounded to two decimal places as needed.)

#### P-value:

- The P-value is \( 0.337 \). (Rounded to three decimal places as needed.)

#### Conclusion of the Test:

State the conclusion:

- **A.** Reject \( H_0 \). There is sufficient evidence to support that students taking nonproctored tests achieve higher mean scores than those taking proctored tests.

- **B.** Reject \( H_0 \). There is not sufficient evidence to support that students taking nonproctored tests achieve higher mean scores than those taking proctored tests
Transcribed Image Text:### Analysis of Proctored vs. Nonproctored Tests A study was conducted on proctored and nonproctored tests. The results are summarized in the following table. The assumption is that two independent simple random samples are taken from normally distributed populations, without assuming equal population standard deviations. Complete parts (a) and (b) below. #### Data Summary: | | Proctored (\( \mu_1 \)) | Nonproctored (\( \mu_2 \)) | |--------------------|-------------------------|----------------------------| | Sample Size (\( n \)) | 32 | 33 | | Mean (\( \bar{x} \)) | 78.49 | 84.99 | | Standard Deviation (\( s \)) | 11.61 | 18.83 | #### Hypothesis Testing Choose the appropriate 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.** \( H_0: \mu_1 = \mu_2 \) \\ \( H_1: \mu_1 \neq \mu_2 \) **Selection:** **C.** #### Test Statistic: - The test statistic, \( t \), is \( -0.43 \). (Rounded to two decimal places as needed.) #### P-value: - The P-value is \( 0.337 \). (Rounded to three decimal places as needed.) #### Conclusion of the Test: State the conclusion: - **A.** Reject \( H_0 \). There is sufficient evidence to support that students taking nonproctored tests achieve higher mean scores than those taking proctored tests. - **B.** Reject \( H_0 \). There is not sufficient evidence to support that students taking nonproctored tests achieve higher mean scores than those taking proctored tests
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