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You are given a list of students' names and their test scores. Design an algorithm that does the following: a. Calculates the average test scores. b. Determines and prints the names of all the students whose test scores are below the average test score. c. Determines the highest test score. d. Prints the names of all the students whose test scores are the same as the highest test score. (You must divide this problem into subproblems as follows: The first subproblem determines the average test score. The second subproblem determines and prints the names of all the students whose test scores are below the average test score. The third subproblem determines the highest test score. The fourth subproblem prints the names of all the students whose test scores are the same as the highest test score. The main algorithm combines the solutions of the subproblems.)

Short Answer

Expert verified
The algorithm calculates average, identifies below-average students, finds the highest score, and lists students with the highest score.

Step by step solution

01

Calculate Average Score

To determine the average test score, first sum up all the test scores of the students. Then divide this sum by the total number of students. Let the list of test scores be \([s_1, s_2, ..., s_n]\). The average score \(\text{average}\) is given by: \[ \text{average} = \frac{1}{n} \sum_{i=1}^{n} s_i \]
02

Identify Students Below Average

Compare each student's score with the average score calculated in Step 1. If a student's score is less than the average, note down their name. This requires iterating through the list of students and their scores.
03

Find Highest Score

To find the highest test score, inspect all the scores and keep track of the maximum score encountered. Use a variable to store the highest score. As you iterate through the scores, update this variable whenever you find a higher score than the current value in the variable.
04

Identify Students With Highest Score

Go through the list of students and their test scores again. For each student whose score is equal to the highest score determined in Step 3, note down their name. This will give you the names of all students who achieved the highest score.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Average Test Score Calculation
Calculating the average test score is the first essential step in analyzing student performance. Consider a scenario where you have a list of student test scores. To find their average, you need to sum all the test scores and then divide by the number of students. This can be written as the formula: \[ \text{average} = \frac{1}{n} \sum_{i=1}^{n} s_i \] where \(n\) represents the total number of students and \(s_i\) is each student's score. For example, if you have scores \[70, 80, 90, 60\], the calculation would involve summing these numbers to get 300, and then dividing by 4, resulting in an average of 75. This average gives a central value, aiding in assessment of overall student performance.
Subproblems in Algorithms
Breaking down a complex problem into manageable subproblems is vital in algorithm design. This is particularly true for the given problem of analyzing student scores. The task can be divided into smaller, more approachable subproblems, each addressing a specific part of the main problem.
  • The first subproblem calculates the average test score.
  • The second identifies students scoring below this average.
  • The third determines the highest test score.
  • The fourth finds students with the highest score.
Each subproblem can be tackled individually, allowing a focus on one component at a time. This approach enhances efficiency and clarity, smoothing the path to a solution for the overall algorithm.
Highest Test Score Identification
Identifying the highest test score within a set of data is a straightforward yet important task. To do this effectively, you need to systematically compare all the scores. Start by assuming the first score as the highest, then iterate through the remaining scores. With each iteration, update the highest score whenever a score exceeds the current maximum.For example, given scores \[85, 92, 88, 79\], begin with 85. Check each subsequent score: 92 is higher, so it becomes the new high. Continue this until all scores have been considered, resulting in the highest score of 92. This highest score acts as a benchmark for top student performance.
Student Performance Analysis
Student performance analysis is crucial for understanding how well students are doing generally and relatively. Once you've calculated the average score and identified both the lowest and highest achievers, you can perform a deeper analysis. By listing students below the average, educators can pinpoint who may need extra help. Similarly, by recognizing those who achieved the highest score, teachers can celebrate and learn from these students' strategies. Through this analysis, patterns may emerge, such as subject matter difficulties faced by many students, insights into teaching effectiveness, or trends in score improvement over time. Therefore, student performance analysis is not just about numbers—it's a tool for enhancing learning outcomes.

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