Give a 95% confidence interval, for ₁-2 given the following information. = = 0.6 n₁ = 55, T₁ = 2.5, 8₁ n₂ = 60, T₂ = 2.38, 82 = 0.8 H Use Technology. Rounded to 2 decimal places.

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**Constructing a 95% Confidence Interval for the Difference of Means (μ₁ - μ₂)**

Given the following information, calculate the 95% confidence interval for the difference between two population means \( \mu_1 - \mu_2 \):

- **Sample 1:**
  - Sample size (\( n_1 \)): 55
  - Sample mean (\( \overline{x}_1 \)): 2.5
  - Sample standard deviation (\( s_1 \)): 0.6

- **Sample 2:**
  - Sample size (\( n_2 \)): 60
  - Sample mean (\( \overline{x}_2 \)): 2.38
  - Sample standard deviation (\( s_2 \)): 0.8

**Instructions:**
1. Calculate the standard error (SE) of the difference between the means.
2. Find the critical value (z*) for a 95% confidence level.
3. Compute the margin of error (ME).
4. Determine the confidence interval for \( \mu_1 - \mu_2 \).

Make use of statistical technology or appropriate formulas as required. Round your final answer to 2 decimal places.

**Graphical Representation:**
This section would typically involve placing the provided \( n_1, \overline{x}_1, s_1; n_2, \overline{x}_2, s_2 \) values into the confidence interval formula, calculating each step and then plotting the resulting confidence interval on a number line for visual clarity.

**Use Technology Link:**
This link is provided as a resource for those requiring computational tools to assist in finding critical values, performing calculations, or plotting.

**Hint:**
Expand the hint section for step-by-step guidance through the process of calculating the confidence interval.

_For an educational website, illustrative diagrams can be beneficial to aid comprehension._
Transcribed Image Text:**Constructing a 95% Confidence Interval for the Difference of Means (μ₁ - μ₂)** Given the following information, calculate the 95% confidence interval for the difference between two population means \( \mu_1 - \mu_2 \): - **Sample 1:** - Sample size (\( n_1 \)): 55 - Sample mean (\( \overline{x}_1 \)): 2.5 - Sample standard deviation (\( s_1 \)): 0.6 - **Sample 2:** - Sample size (\( n_2 \)): 60 - Sample mean (\( \overline{x}_2 \)): 2.38 - Sample standard deviation (\( s_2 \)): 0.8 **Instructions:** 1. Calculate the standard error (SE) of the difference between the means. 2. Find the critical value (z*) for a 95% confidence level. 3. Compute the margin of error (ME). 4. Determine the confidence interval for \( \mu_1 - \mu_2 \). Make use of statistical technology or appropriate formulas as required. Round your final answer to 2 decimal places. **Graphical Representation:** This section would typically involve placing the provided \( n_1, \overline{x}_1, s_1; n_2, \overline{x}_2, s_2 \) values into the confidence interval formula, calculating each step and then plotting the resulting confidence interval on a number line for visual clarity. **Use Technology Link:** This link is provided as a resource for those requiring computational tools to assist in finding critical values, performing calculations, or plotting. **Hint:** Expand the hint section for step-by-step guidance through the process of calculating the confidence interval. _For an educational website, illustrative diagrams can be beneficial to aid comprehension._
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