Market basket analysis MCQs December 19, 2025November 19, 2024 by u930973931_answers 15 min Score: 0 Attempted: 0/15 Subscribe 1. What is the main goal of Market Basket Analysis (MBA)? (A) To identify associations or relationships between products bought together (B) To predict future stock prices (C) To classify customers into different segments (D) To optimize website content 2. Which of the following measures is used to evaluate the strength of an association rule in Market Basket Analysis? (A) Accuracy (B) Recall (C) Support (D) Precision 3. In Market Basket Analysis, what does support represent? (A) The likelihood that a product will be purchased in the future (B) The ratio of correct predictions (C) The probability that two items are bought together (D) The proportion of transactions that contain a specific product 4. What does confidence in Market Basket Analysis measure? (A) The strength of the rule’s relationship between items (B) The likelihood that a product will be purchased in the future (C) The proportion of transactions that include a specific item (D) The probability that an itemset occurs together in a transaction 5. What is the lift in Market Basket Analysis used to measure? (A) The likelihood that an item will be purchased (B) The strength of association between items, adjusted for their individual frequencies (C) The total number of items sold (D) The time spent by customers in a store 6. Which of the following algorithms is commonly used for performing Market Basket Analysis? (A) K-means clustering (B) Naive Bayes classifier (C) Support Vector Machine (SVM) (D) Apriori algorithm 7. In Market Basket Analysis, if the confidence of an association rule is 1.0, what does that imply? (A) The rule is useless (B) The two items are always purchased together (C) The items are rarely purchased together (D) The rule is statistically insignificant 8. In the context of Market Basket Analysis, which of the following is a frequent itemset? (A) A collection of items that appears in a sufficient number of transactions (B) An item that is purchased infrequently (C) An item that is never purchased (D) A product that is discounted 9. What is the main challenge in Market Basket Analysis? (A) The inability to predict the future (B) Determining which products should be discounted (C) The computational complexity due to large datasets (D) Analyzing only structured data 10. In Market Basket Analysis, what is meant by association rule mining? (A) Finding items that are always sold together (B) Identifying frequently occurring patterns and relationships between items in transaction data (C) Grouping customers into different categories (D) Predicting the prices of items 11. Which of the following is NOT a typical application of Market Basket Analysis? (A) Recommending products to customers based on previous purchases (B) Identifying fraud in financial transactions (C) Designing store layouts based on frequent itemsets (D) Optimizing cross-selling and upselling strategies in e-commerce 12. Which of the following is TRUE about association rules in Market Basket Analysis? (A) Association rules provide insights into how items are related in transactions (B) Association rules do not require any threshold for support or confidence (C) All association rules are useful for predicting future purchases (D) Association rules are always deterministic 13. In Market Basket Analysis, which of the following is the correct interpretation of the association rule {Bread} → {Butter} (Confidence: 0.8, Support: 0.1, Lift: 1.5)? (A) Bread and butter are purchased together 80% of the time (B) 10% of all transactions include both bread and butter (C) 80% of the time, when bread is purchased, butter is also purchased (D) There is no significant relationship between bread and butter 14. Which of the following could be a real-world application of Market Basket Analysis in the retail industry? (A) Identifying the most important customer demographic (B) Predicting weather patterns (C) Discovering frequently purchased products together for product bundling (D) Forecasting global economic trends 15. What is a potential limitation of Market Basket Analysis? (A) It can only be applied to numeric data (B) It cannot analyze relationships between more than two items (C) It can only be used for small datasets (D) It often produces too many rules, making interpretation difficult