AS PSEUDOCODE SET 3
Question 1: Student Analytics System
Part A:
Declare a 6x5 integer array Scores to hold marks for 6 students in 5 subjects and a parallel array Names
for their names. Input all data.
Part B:
For each student:
• Calculate total, average, and percentage.
• Assign a letter grade:
o "A": percentage ≥ 85
o "B": percentage ≥ 70 and < 85
o "C": percentage ≥ 50 and < 70
o "F": otherwise
Part C:
• Find and display the student(s) with the highest and lowest averages.
• For each subject (column), calculate and display the class average.
Part D:
• List the names of students who failed at least 2 subjects (score < 50 in any subject).
• Display each student’s name, grades for each subject, total, average, percentage, and final letter
grade.
Question 2: Warehouse Inventory Tracker
Section 1:
Declare and input into arrays:
• ItemName (string, size 8)
• Stock (integer, size 8)
• PurchasePrice (float, size 8)
• SellPrice (float, size 8)
Section 2:
• For each item, compute profit per unit (sell - purchase).
• If stock < 5, mark for "Restock".
• If profit per unit < 10% of sell price, mark as "Low Profit".
Section 3:
• For all restocked items, increase stock by 20.
• If the updated stock is now over 50, mark as "Bulk".
• Find and display the item with the highest total profit (profit per unit × stock).
Section 4:
• For each item, output:
o Name
o Stock
o Profit per unit
o Total profit
o Status(es): "Restock", "Low Profit", "Bulk" as appropriate
Question 3: City Weather Data Processing
Part 1:
Declare a 4×12 array to hold average monthly temperatures (for 4 cities over 12 months).
Declare a list of city names.
Part 2:
• For each city, find:
o The hottest month (index and temperature)
o The coldest month (index and temperature)
o The average annual temperature
Part 3:
• Across all cities, find the month with the highest average temperature and the month with the
lowest average temperature.
Part 4:
• For each city, determine:
o Number of months with temperature > 30°C ("hot months")
o Number of months with temperature < 10°C ("cold months")
Display all results in a clear, structured format.
Question 4: Advanced Transaction Processor
Section A:
Declare arrays for 12 transactions:
• CustomerName (string)
• Amount (float)
• PaymentMethod (string: "Card", "Cash", "Online")
Section B:
• Mark every transaction over $500 as "Large".
• Apply a 5% discount for "Card" payments over $200.
• For "Online" payments, add a $2 bonus if amount > $300.
Section C:
• Calculate and display, per payment method:
o Total sales
o Number of sales over $400
Section D:
• Identify and display:
o The customer with the highest final transaction amount (after discounts/bonuses)
o The method with the most total transactions
Section E:
• Print a transaction summary table showing names, original and final amounts, payment method,
and tags ("Large", "Discounted", "Bonus", etc.).
Question 5 : Interlinked Matrix Analysis and Reporting
Stage 1: Input
• Declare two 6×6 integer arrays: MatrixA and MatrixB. Input all values.
Stage 2: Processing
• For every cell [i][j]:
o If MatrixA[i][j] > MatrixB[i][j], store the difference in ResultMatrix[i][j].
o Else store their sum.
• For each row:
o Count the number of prime numbers in that row (in both MatrixA and MatrixB).
o If count ≥ 3, mark that row as "Prime-Rich".
Stage 3: Analysis
• For all "Prime-Rich" rows:
o Calculate the average value of their corresponding ResultMatrix entries.
• Find and mark any columns in ResultMatrix where all entries are even.
Stage 4: Reporting
• Display:
o all "Prime-Rich" rows and their averages,
o the indices of columns with all-even entries,
o the maximum and minimum values in ResultMatrix, along with their positions,
o final ResultMatrix.
Let me know if you’d like further questions or worked solutions for any!
