The problem asks us to compute the expected frequencies for the given contingency table. The contingency table is as follows: | | Category A | Category B | |-----------|------------|------------| | Category C | 28 | 37 | | Category D | 16 | 14 |

Probability and StatisticsContingency TableExpected FrequenciesChi-squared Test
2025/5/29

1. Problem Description

The problem asks us to compute the expected frequencies for the given contingency table. The contingency table is as follows:
| | Category A | Category B |
|-----------|------------|------------|
| Category C | 28 | 37 |
| Category D | 16 | 14 |

2. Solution Steps

To find the expected frequencies for each cell in the contingency table, we use the following formula:
Eij=(Row Total)×(Column Total)Grand TotalE_{ij} = \frac{(\text{Row Total}) \times (\text{Column Total})}{\text{Grand Total}}
First, calculate the row totals, column totals, and grand total.
Row Totals:
Category C: 28+37=6528 + 37 = 65
Category D: 16+14=3016 + 14 = 30
Column Totals:
Category A: 28+16=4428 + 16 = 44
Category B: 37+14=5137 + 14 = 51
Grand Total: 65+30=9565 + 30 = 95 (Also 44+51=9544 + 51 = 95)
Now, we calculate the expected frequencies for each cell:
Category C, Category A:
ECA=65×4495=286095=30.105263157930.11E_{CA} = \frac{65 \times 44}{95} = \frac{2860}{95} = 30.1052631579 \approx 30.11
Category C, Category B:
ECB=65×5195=331595=34.894736842134.89E_{CB} = \frac{65 \times 51}{95} = \frac{3315}{95} = 34.8947368421 \approx 34.89
Category D, Category A:
EDA=30×4495=132095=13.894736842113.89E_{DA} = \frac{30 \times 44}{95} = \frac{1320}{95} = 13.8947368421 \approx 13.89
Category D, Category B:
EDB=30×5195=153095=16.105263157916.11E_{DB} = \frac{30 \times 51}{95} = \frac{1530}{95} = 16.1052631579 \approx 16.11

3. Final Answer

The expected frequencies are:
Category C, Category A: 30.11
Category C, Category B: 34.89
Category D, Category A: 13.89
Category D, Category B: 16.11

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