Read the following paragraph carefully and answer the following five questions: In a ninth standard class of 50 students, the teacher administered test to measure achievement of students in Physics and Chemistry, respectively. The mean and SD of the class for the achievement scores in Physics were 50 and 20 , respectively whereas, the mean and SD of the class for the achievement scores in Chemistry were 20 and 5 respectively. One student Rekha scored 30 marks in Physics and 26 marks in Chemistry. Another student Reshma scored 56 marks in Physics and 22.5 marks in Chemistry. Another student Sameer scored 46 marks in Physics and 19 marks in Chemistry. The summary of these scores is given below:S ubject Mean of the class SD of the class Rekha Reshma Sameer Physics 50 20 30 56 46 Chemistry 20 5 26 22.5 19
Who had the least consistent scores on both tests?
To determine who had the least consistent scores on both tests, we need to compare the performance of each student relative to their class in both subjects. Since the mean and standard deviation are different for Physics and Chemistry, comparing raw scores directly is not appropriate. A better way to compare performance across different distributions is by using Z-scores.
A Z-score measures how many standard deviations a particular score is away from the mean of its distribution. It allows us to standardize scores from different tests or distributions, making them comparable. The formula for calculating a Z-score is:
\(Z = \frac{X - \mu}{\sigma}\)
Where:
Consistency in scores across the two tests for a student can be assessed by looking at how similar their Z-scores are in Physics and Chemistry. If the Z-scores are very different, it suggests that the student's performance relative to the class varied significantly between the two subjects, indicating less consistency.
Let's calculate the Z-scores for Rekha, Reshma, and Sameer in both Physics and Chemistry using the given data:
Physics Data: Mean (\(\mu_{Physics}\)) = 50, Standard Deviation (\(\sigma_{Physics}\)) = 20
Chemistry Data: Mean (\(\mu_{Chemistry}\)) = 20, Standard Deviation (\(\sigma_{Chemistry}\)) = 5
Let's summarize the calculated Z-scores:
| Student | Physics Z-score | Chemistry Z-score |
| Rekha | -1.0 | 1.2 |
| Reshma | 0.3 | 0.5 |
| Sameer | -0.2 | -0.2 |
To find the least consistent scores, we look for the student whose Z-scores in Physics and Chemistry are most different. We can calculate the absolute difference between the Z-scores for each student:
The student with the largest absolute difference in Z-scores had the least consistent performance relative to the class across the two tests.
Rekha has the largest difference in Z-scores (2.2). This means her performance relative to the class was significantly different between Physics (1 standard deviation below the mean) and Chemistry (1.2 standard deviations above the mean). Reshma's scores were more consistent relative to the class, and Sameer's were perfectly consistent (same Z-score in both subjects).
Based on the Z-score analysis, Rekha had the least consistent scores on both the Physics and Chemistry tests because her performance relative to the class mean varied the most between the two subjects.
| Concept | Description | Relevance to Consistency |
| Mean | The average score of the class. | Reference point for individual scores. |
| Standard Deviation (SD) | Measures the spread or variability of scores around the mean. | Used to standardize scores with Z-scores. |
| Z-Score | Indicates how many standard deviations a score is from the mean. | Allows comparison of scores from different distributions; essential for assessing relative consistency. |
| Consistency | How similar a student's relative performance is across different tests. | Evaluated by comparing Z-scores across tests. |
Interpreting Z-scores provides valuable insight into student performance beyond just the raw score. A positive Z-score means the student scored above the mean, while a negative Z-score means they scored below the mean. A Z-score of 0 means the student scored exactly at the mean.
When comparing consistency across multiple subjects, looking at the similarity of Z-scores is a standard method. A small difference between Z-scores indicates high consistency (the student performed similarly relative to their peers in both subjects). A large difference indicates low consistency (the student performed much better relative to peers in one subject compared to the other).
In this specific case:
Therefore, Rekha's scores were the least consistent when analyzed using Z-scores.
The table shows the monthly expenditure of Saumya. What percent of her monthly salary is she able to save?
| Expense | Amount |
| Food | 5,000 |
| Rent | 20,000 |
| Travel | 10,000 |
| Clothing | 3,000 |
| Miscellaneous | 15,000 |
| Savings | 7,500 |
Who had the best score on either test?
Who had the most consistent scores on both tests?
Who had the poorest score on either test?
Who had the best mean score on both tests?