Independent random samples from normal populations produced the results shown in the table to the right. Complete parts a through d below. a. Calculate the pooled estimate of o s = (Round to four decimal places as needed.) Sample 1 2.2 1.2 3.3 1.1 2.9 Sample 2 2.9 3.3 2.9 3.4

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### Statistical Analysis of Independent Random Samples

Independent random samples from normal populations produced the following results. Complete parts (a) through (d) below.

#### Data Table:
| Sample 1 | Sample 2 |
| --- | --- |
| 2.2 | 2.9 |
| 1.2 | 3.3 |
| 3.3 | 2.9 |
| 1.1 | 3.4 |
| - | - |

### Task:
**a. Calculate the pooled estimate of \(\sigma^2\).**
\[ s_p^2 = \boxed{\phantom{4.0000}} \]
(Round to four decimal places as needed.)

This section will help students understand the process of calculating the pooled estimate of variance (\(\sigma^2\)) using the given data from two independent samples. The pooled variance is a method that provides a single estimate of variance by combining data from both samples.

1. **Sample Data:**
   - *Sample 1:* 2.2, 1.2, 3.3, 1.1
   - *Sample 2:* 2.9, 3.3, 2.9, 3.4

2. **Calculation Steps:**
   - Calculate the sample means (\(\bar{x}_1\) and \(\bar{x}_2\)).
   - Compute the sum of squared deviations from the mean for each sample.
   - Sum the squared deviations for both samples.
   - Divide the total sum by the degrees of freedom (total number of observations - 2).

By following these steps, students can accurately determine the pooled estimate of the population variance.
Transcribed Image Text:### Statistical Analysis of Independent Random Samples Independent random samples from normal populations produced the following results. Complete parts (a) through (d) below. #### Data Table: | Sample 1 | Sample 2 | | --- | --- | | 2.2 | 2.9 | | 1.2 | 3.3 | | 3.3 | 2.9 | | 1.1 | 3.4 | | - | - | ### Task: **a. Calculate the pooled estimate of \(\sigma^2\).** \[ s_p^2 = \boxed{\phantom{4.0000}} \] (Round to four decimal places as needed.) This section will help students understand the process of calculating the pooled estimate of variance (\(\sigma^2\)) using the given data from two independent samples. The pooled variance is a method that provides a single estimate of variance by combining data from both samples. 1. **Sample Data:** - *Sample 1:* 2.2, 1.2, 3.3, 1.1 - *Sample 2:* 2.9, 3.3, 2.9, 3.4 2. **Calculation Steps:** - Calculate the sample means (\(\bar{x}_1\) and \(\bar{x}_2\)). - Compute the sum of squared deviations from the mean for each sample. - Sum the squared deviations for both samples. - Divide the total sum by the degrees of freedom (total number of observations - 2). By following these steps, students can accurately determine the pooled estimate of the population variance.
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