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1)     a. Compute the Gini Index for the entire data set with respect to the two classes.     b. Compute the Gini Index for the portion of the data set with age at least 50.

1)     a. Compute the Gini Index for the entire data set with respect to the two classes.     b. Compute the Gini Index for the portion of the data set with age at least 50.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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1)

    a. Compute the Gini Index for the entire data set with respect to the two classes.

    b. Compute the Gini Index for the portion of the data set with age at least 50.

The table presents data on ten individuals, displaying information across four columns: Name, Age, Salary, and Donor Status. - **Name**: Lists the first names of the individuals. - **Age**: Provides the ages, ranging from 21 to 63. - **Salary**: Displays their salaries, varying from $25,000 to $74,000. - **Donor?**: Indicates donor status; 'Y' for Yes and 'N' for No. ### Table Data: 1. **Nancy**: - Age: 21 - Salary: $37,000 - Donor: No 2. **Jim**: - Age: 27 - Salary: $41,000 - Donor: No 3. **Allen**: - Age: 43 - Salary: $61,000 - Donor: Yes 4. **Jane**: - Age: 38 - Salary: $55,000 - Donor: No 5. **Steve**: - Age: 44 - Salary: $30,000 - Donor: No 6. **Peter**: - Age: 51 - Salary: $56,000 - Donor: Yes 7. **Sayani**: - Age: 53 - Salary: $70,000 - Donor: Yes 8. **Lata**: - Age: 56 - Salary: $74,000 - Donor: Yes 9. **Mary**: - Age: 59 - Salary: $25,000 - Donor: No 10. **Victor**: - Age: 61 - Salary: $68,000 - Donor: Yes 11. **Dale**: - Age: 63 - Salary: $51,000 - Donor: Yes This dataset can be used to analyze the correlation between age, salary, and donor status among the individuals listed.
Transcribed Image Text:The table presents data on ten individuals, displaying information across four columns: Name, Age, Salary, and Donor Status. - **Name**: Lists the first names of the individuals. - **Age**: Provides the ages, ranging from 21 to 63. - **Salary**: Displays their salaries, varying from $25,000 to $74,000. - **Donor?**: Indicates donor status; 'Y' for Yes and 'N' for No. ### Table Data: 1. **Nancy**: - Age: 21 - Salary: $37,000 - Donor: No 2. **Jim**: - Age: 27 - Salary: $41,000 - Donor: No 3. **Allen**: - Age: 43 - Salary: $61,000 - Donor: Yes 4. **Jane**: - Age: 38 - Salary: $55,000 - Donor: No 5. **Steve**: - Age: 44 - Salary: $30,000 - Donor: No 6. **Peter**: - Age: 51 - Salary: $56,000 - Donor: Yes 7. **Sayani**: - Age: 53 - Salary: $70,000 - Donor: Yes 8. **Lata**: - Age: 56 - Salary: $74,000 - Donor: Yes 9. **Mary**: - Age: 59 - Salary: $25,000 - Donor: No 10. **Victor**: - Age: 61 - Salary: $68,000 - Donor: Yes 11. **Dale**: - Age: 63 - Salary: $51,000 - Donor: Yes This dataset can be used to analyze the correlation between age, salary, and donor status among the individuals listed.
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