For each of the following, calculate the pooled variance and the estimated standard error for the sample mean difference. The first sample has n = 4 scores and a variance of s² = 17, and the second sample hasn = 8 scores and a variance of s2 = 27. S(M1 - M2) = Now the sample variances are increased so that the first sample has n = 4 scores and a variance of s² = 68, and the second sample has n = 8 scores and a variance of s² = 108.

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### Calculating the Pooled Variance and Estimated Standard Error

**Scenario 1:**

- **First Sample:**
  - Sample size (\( n \)) = 4 scores
  - Variance (\( s^2 \)) = 17

- **Second Sample:**
  - Sample size (\( n \)) = 8 scores
  - Variance (\( s^2 \)) = 27

1. Calculate the pooled variance (\( s^2_p \)):
   \[
   s^2_p = \, \underline{\hspace{4cm}}
   \]

2. Calculate the estimated standard error (\( s_{(M1 - M2)} \)):
   \[
   s_{(M1 - M2)} = \, \underline{\hspace{4cm}}
   \]

**Scenario 2:**

- **First Sample:**
  - Sample size (\( n \)) = 4 scores
  - Variance (\( s^2 \)) = 68

- **Second Sample:**
  - Sample size (\( n \)) = 8 scores
  - Variance (\( s^2 \)) = 108

1. Calculate the pooled variance (\( s^2_p \)):
   \[
   s^2_p = \, \underline{\hspace{4cm}}
   \]

2. Calculate the estimated standard error (\( s_{(M1 - M2)} \)):
   \[
   s_{(M1 - M2)} = \, \underline{\hspace{4cm}}
   \]

**Discussion:**

Comparing your answers for the preceding parts, how does increased variance influence the size of the estimated standard error?

- Increased variance ________________ the estimated standard error.
Transcribed Image Text:### Calculating the Pooled Variance and Estimated Standard Error **Scenario 1:** - **First Sample:** - Sample size (\( n \)) = 4 scores - Variance (\( s^2 \)) = 17 - **Second Sample:** - Sample size (\( n \)) = 8 scores - Variance (\( s^2 \)) = 27 1. Calculate the pooled variance (\( s^2_p \)): \[ s^2_p = \, \underline{\hspace{4cm}} \] 2. Calculate the estimated standard error (\( s_{(M1 - M2)} \)): \[ s_{(M1 - M2)} = \, \underline{\hspace{4cm}} \] **Scenario 2:** - **First Sample:** - Sample size (\( n \)) = 4 scores - Variance (\( s^2 \)) = 68 - **Second Sample:** - Sample size (\( n \)) = 8 scores - Variance (\( s^2 \)) = 108 1. Calculate the pooled variance (\( s^2_p \)): \[ s^2_p = \, \underline{\hspace{4cm}} \] 2. Calculate the estimated standard error (\( s_{(M1 - M2)} \)): \[ s_{(M1 - M2)} = \, \underline{\hspace{4cm}} \] **Discussion:** Comparing your answers for the preceding parts, how does increased variance influence the size of the estimated standard error? - Increased variance ________________ the estimated standard error.
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