1. To study the effectiveness of possible treatments for insomnia, a sleep researcher conducted a study with 12 participants. Four were instructed to count sheep (the Sheep Condition), four were told to concentrate on their breathing (the Breathing Condition), and four were not given any special instructions. Measures were taken of how long it took each subject to fall asleep, measure in minutes, in a sleep laboratory. Their data are below. Use an ANOVA with p < .05 to determine whether there are any significant differences among the three conditions. Do follow-up tests, if appropriate. Compute eta-squared. Control Condition 45 Sheep Condition Breathing Condition 14 25 N= 12 G= 327 ΣΧ9959 28 22 33 27 17 30 31 14 41 n=4 n=4 n=4 T= 100 T=78 T= 149 SS = 170 SS = 73 SS = 144.75

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**One-Way ANOVA: Hypothesis Testing Process**

**Study Overview:**
To investigate the effectiveness of different treatments for insomnia, a study was conducted by a sleep researcher involving 12 participants. The participants were divided into three groups:
- Four participants counted sheep (Sheep Condition).
- Four participants focused on their breathing (Breathing Condition).
- Four participants were given no special instructions (Control Condition).

The time taken for each participant to fall asleep was recorded in minutes during a sleep laboratory session.

**Objective:**
Utilize a One-Way ANOVA with a significance level of \( p < 0.05 \) to determine if there are significant differences in the time taken to fall asleep among the three conditions. Perform follow-up tests if necessary and compute eta-squared to assess the effect size.

**Data:**

|                     | Sheep Condition | Breathing Condition | Control Condition |
|---------------------|-----------------|---------------------|-------------------|
| **Sleep Time (min)**|                 |                     |                   |
|                     | 14              | 25                  | 45                |
|                     | 28              | 22                  | 33                |
|                     | 27              | 17                  | 30                |
|                     | 31              | 14                  | 41                |

**Summary Statistics:**

- **Sheep Condition:**
  - \( n = 4 \)
  - \( T = 100 \)
  - \( SS = 170 \)

- **Breathing Condition:**
  - \( n = 4 \)
  - \( T = 78 \)
  - \( SS = 73 \)

- **Control Condition:**
  - \( n = 4 \)
  - \( T = 149 \)
  - \( SS = 144.75 \)

- **Total:**
  - \( N = 12 \)
  - \( G = 327 \)
  - \( \Sigma X^2 = 9959 \)

Conduct a detailed analysis using the above data to evaluate the efficacy of the treatments.
Transcribed Image Text:**One-Way ANOVA: Hypothesis Testing Process** **Study Overview:** To investigate the effectiveness of different treatments for insomnia, a study was conducted by a sleep researcher involving 12 participants. The participants were divided into three groups: - Four participants counted sheep (Sheep Condition). - Four participants focused on their breathing (Breathing Condition). - Four participants were given no special instructions (Control Condition). The time taken for each participant to fall asleep was recorded in minutes during a sleep laboratory session. **Objective:** Utilize a One-Way ANOVA with a significance level of \( p < 0.05 \) to determine if there are significant differences in the time taken to fall asleep among the three conditions. Perform follow-up tests if necessary and compute eta-squared to assess the effect size. **Data:** | | Sheep Condition | Breathing Condition | Control Condition | |---------------------|-----------------|---------------------|-------------------| | **Sleep Time (min)**| | | | | | 14 | 25 | 45 | | | 28 | 22 | 33 | | | 27 | 17 | 30 | | | 31 | 14 | 41 | **Summary Statistics:** - **Sheep Condition:** - \( n = 4 \) - \( T = 100 \) - \( SS = 170 \) - **Breathing Condition:** - \( n = 4 \) - \( T = 78 \) - \( SS = 73 \) - **Control Condition:** - \( n = 4 \) - \( T = 149 \) - \( SS = 144.75 \) - **Total:** - \( N = 12 \) - \( G = 327 \) - \( \Sigma X^2 = 9959 \) Conduct a detailed analysis using the above data to evaluate the efficacy of the treatments.
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