A manager wonders if there is a relationship between customers' class (U1-U4) and their primary visit reason. Based on the Cross-tab analysis result in Table 1, what would you tell to the manager?

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A manager wonders if there is a relationship between customers' class (U1-U4) and their primary visit reason.
Based on the Cross-tab analysis result in Table 1, what would you tell to the manager?

 

see attached analysis table

**Table 1: Cross-tab Analysis Result**

This table provides a cross-tabulation of class and primary visit reason, with categories for "SOCIAL" and "STUDY."

### Cross Tabulation

| Class | Primary Visit Reason | SOCIAL | STUDY | Total |
|-------|----------------------|--------|-------|-------|
| U1    |                      | 5      | 8     | 13    |
| U2    |                      | 36     | 49    | 85    |
| U3    |                      | 2      | 15    | 17    |
| U4    |                      | 2      | 5     | 7     |
| **Total**|                   | 45     | 77    | 122   |

### Statistical Analysis

- **Chi-square test of independence (chi²)**: 5.9214
- **Chi-square test of independence result (p-value)**: 0.115

This table shows the distribution of visit reasons across four classes, labeled U1 through U4. The chi-square test evaluates the independence between class and visit reason. A p-value of 0.115 indicates that there is no statistically significant association at the conventional 0.05 level.
Transcribed Image Text:**Table 1: Cross-tab Analysis Result** This table provides a cross-tabulation of class and primary visit reason, with categories for "SOCIAL" and "STUDY." ### Cross Tabulation | Class | Primary Visit Reason | SOCIAL | STUDY | Total | |-------|----------------------|--------|-------|-------| | U1 | | 5 | 8 | 13 | | U2 | | 36 | 49 | 85 | | U3 | | 2 | 15 | 17 | | U4 | | 2 | 5 | 7 | | **Total**| | 45 | 77 | 122 | ### Statistical Analysis - **Chi-square test of independence (chi²)**: 5.9214 - **Chi-square test of independence result (p-value)**: 0.115 This table shows the distribution of visit reasons across four classes, labeled U1 through U4. The chi-square test evaluates the independence between class and visit reason. A p-value of 0.115 indicates that there is no statistically significant association at the conventional 0.05 level.
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