A study was conducted among n = 500 individuals, with 300 smokers and 200 non-smokers included. The objective was to test whether the allergy symptoms depend on their smoking preferences. A two-by-two contingency table summarized observed frequencies as follows. Group Allergic No Allergy Total Smokers 165 135 300 Non-Smokers 85 115 200 Total 250 250 500 At the significance level a = 0.01, test whether smoking habits and allergic symptoms are related to each other. 1. Evaluate estimated expected counts and place them into the table below. 2. Derive the test statistic for testing homogeneity hypothesis 3. Formulate the rejection rule and make a conclusion whether there is dependence between smoking habits and allergy symptoms. Estimated Expected Counts Group Allergic No Allergy Total Smokers 300 Non-Smokers 200 Total 250 250 500 Solution 6.

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**Title: Analysis of Smoking Habits and Allergy Symptoms**

**Objective:**
A study was conducted among \( n = 500 \) individuals, with 300 smokers and 200 non-smokers included. The objective was to test whether allergy symptoms depend on smoking preferences. A two-by-two contingency table summarized observed frequencies as follows:

**Observed Frequencies Table:**

| Group        | Allergic | No Allergy | Total |
|--------------|----------|------------|-------|
| Smokers      | 165      | 135        | 300   |
| Non-Smokers  | 85       | 115        | 200   |
| **Total**    | 250      | 250        | 500   |

**Analysis Instructions:**
At the significance level \( \alpha = 0.01 \), test whether smoking habits and allergic symptoms are related to each other.

1. **Evaluate estimated expected counts** and place them into the table below.
2. **Derive the test statistic** for testing the homogeneity hypothesis.
3. **Formulate the rejection rule** and make a conclusion on whether there is dependence between smoking habits and allergy symptoms.

**Estimated Expected Counts Table:**

| Group        | Allergic | No Allergy | Total |
|--------------|----------|------------|-------|
| Smokers      |          |            | 300   |
| Non-Smokers  |          |            | 200   |
| **Total**    | 250      | 250        | 500   |

**Solution:**

This section will guide you through calculating the estimated expected counts, deriving the test statistic for a chi-square test, and determining the outcome of the hypothesis test based on the specified significance level. 

Note that in order to compute the expected counts, use the formula: 

\[ 
E_{ij} = \frac{(Row \, Total_i) \times (Column \, Total_j)}{Grand \, Total} 
\]

Follow these steps to determine if there is a significant relationship between the variables of smoking habits and allergy symptoms.
Transcribed Image Text:**Title: Analysis of Smoking Habits and Allergy Symptoms** **Objective:** A study was conducted among \( n = 500 \) individuals, with 300 smokers and 200 non-smokers included. The objective was to test whether allergy symptoms depend on smoking preferences. A two-by-two contingency table summarized observed frequencies as follows: **Observed Frequencies Table:** | Group | Allergic | No Allergy | Total | |--------------|----------|------------|-------| | Smokers | 165 | 135 | 300 | | Non-Smokers | 85 | 115 | 200 | | **Total** | 250 | 250 | 500 | **Analysis Instructions:** At the significance level \( \alpha = 0.01 \), test whether smoking habits and allergic symptoms are related to each other. 1. **Evaluate estimated expected counts** and place them into the table below. 2. **Derive the test statistic** for testing the homogeneity hypothesis. 3. **Formulate the rejection rule** and make a conclusion on whether there is dependence between smoking habits and allergy symptoms. **Estimated Expected Counts Table:** | Group | Allergic | No Allergy | Total | |--------------|----------|------------|-------| | Smokers | | | 300 | | Non-Smokers | | | 200 | | **Total** | 250 | 250 | 500 | **Solution:** This section will guide you through calculating the estimated expected counts, deriving the test statistic for a chi-square test, and determining the outcome of the hypothesis test based on the specified significance level. Note that in order to compute the expected counts, use the formula: \[ E_{ij} = \frac{(Row \, Total_i) \times (Column \, Total_j)}{Grand \, Total} \] Follow these steps to determine if there is a significant relationship between the variables of smoking habits and allergy symptoms.
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