For the following variables, state whether they are nominal, ordinal, interval, or ratio: Gender Number Grade Letter Grade
For the following variables, state whether they are nominal, ordinal, interval, or ratio: Gender Number Grade Letter Grade
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
3. For the following variables, state whether they are nominal, ordinal, interval, or ratio:
- Gender
- Number Grade
- Letter Grade

Transcribed Image Text:The dataset displayed contains various columns representing student performance metrics. Below is a transcription and explanation of each component:
### Columns:
1. **Student ID**: Numerical identifier for each student (1 to 29).
2. **Gender**: Binary indicator (0 or 1) for gender.
3. **Exam 1, Exam 2, Exam 3**: Scores from three different exams.
4. **Homework**: Score obtained in homework.
5. **Lab**: Score obtained in lab assignments.
6. **Number Grade**: Overall numerical grade calculated as an average or weighted average of scores.
7. **Letter Grade**: Grade represented in letter format (A to E) based on the number grade.
8. **Z-Score**: Standard score indicating how many standard deviations an element is from the mean.
9. **Abs Z-Score**: Absolute value of the Z-score, showing the magnitude of deviation from the mean.
### Summary of the Table:
- The dataset is organized by rows for individual students and includes respective scores for exams, homework, and lab performances.
- Grades are represented both numerically and alphabetically for a comprehensive understanding of student performance.
- The Z-score provides context on how a student's score compares to the mean of the group, while the absolute Z-score focuses on the size of the deviation without regard to direction.
This structured data allows educators to analyze student performance comprehensively and identify patterns or outliers in academic achievements.
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