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Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT Preparation PDF Download

Directions for the following four questions:
Answer the questions on the basis of the information given below.

Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT PreparationCoach John sat with the score cards of Indian players from the 3 games in a one-day cricket tournament where the same set of players played for India and all the major batsmen got out. John summarized the batting performance through three diagrams, one for each games. In each diagram, the three outer triangles communicate the number of runs scored by the three top scores from India, where K, R, S, V, and Y represent Kaif, Rahul, Saurav, Virender, and Yuvraj respectively. The middle triangle in each diagram denotes the percentage of total score that was scored by the top three Indian scorers in that game. No two players score the same number of runs in the same game. John also calculated two batting indices for each player based on his scores in the tournaments; the R-index of a batsman is the difference between his highest and lowest scores in the 3 games while the M-index is the middle number, if his scores are arranged in a non-increasing order.

Q1: For how many Indian players is it possible to calculate the exact M-index?
(a) 0
(b) 1
(c) 2
(d) More than 2

Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT PreparationView Answer  Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT Preparation

Ans: (c)

Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT Preparation

We can clearly see that m index of only saurav and rahul is possible. 
Hence option (c).

Q2: Among the players mentioned, who can have the lowest R-index from the tournament?
(a) Only Kaif, Rahul or Yuvraj
(b) Only Kaif or Rahul
(c) Only Kaif or Yuvraj
(d) Only Kaif

Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT PreparationView Answer  Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT Preparation

Ans: (a)

Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT Preparation

We can find out that R- index can be lowest of any one out of Kaif, Rahul or Yuvraj.

Q3: How many players among those listed definitely scored less than Yuvraj in the tournament?
(a) 0
(b) 1
(c) 2
(d) More than 2

Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT PreparationView Answer  Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT Preparation

Ans: (b)

Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT Preparation

If we calculate total possible runs scored by each player we find that 1 player which is rahul definately scores below yuvraj.

Q4: Which of the players had the best M-index from the tournament?
(a) Rahul
(b) Saurav
(c) Virender
(d) Yuvraj

Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT PreparationView Answer  Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT Preparation

Ans: (b)

Practice Question - 67 (Connected Data Sets) | 100 DILR Questions for CAT Preparation

Saurav has the best M-index.

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FAQs on Practice Question - 67 (Connected Data Sets) - 100 DILR Questions for CAT Preparation

1. What are connected data sets and why are they important in data analysis?
Ans. Connected data sets refer to multiple data sources that are integrated to provide a more comprehensive understanding of a subject or phenomenon. They are important because they allow analysts to uncover relationships, patterns, and insights that may not be visible when looking at isolated data sets. This holistic view enhances decision-making and improves the accuracy of predictions.
2. How can one effectively work with connected data sets?
Ans. To effectively work with connected data sets, one should start by identifying relevant data sources that can complement each other. Next, data cleaning and transformation processes should be applied to ensure consistency and accuracy. Utilizing data integration tools and software can help in merging data sets efficiently. Finally, employing analytical techniques such as data visualization and statistical analysis can aid in interpreting the combined data.
3. What challenges are commonly faced when dealing with connected data sets?
Ans. Common challenges include data compatibility issues, where different formats or structures may not align properly. Data quality is another concern, as inaccuracies in one data set can affect the overall analysis. Additionally, managing large volumes of data can be difficult, leading to performance issues. Finally, ensuring data privacy and security when integrating multiple sources is crucial to comply with regulations.
4. Can you provide examples of fields where connected data sets are used?
Ans. Connected data sets are widely used in various fields including healthcare, where patient data from different sources can provide insights into treatment effectiveness. In finance, integrating market data, customer behavior, and economic indicators helps in risk assessment. In marketing, connected data sets enable businesses to analyze customer interactions across multiple channels for targeted campaigns.
5. What role does technology play in managing connected data sets?
Ans. Technology plays a critical role in managing connected data sets through the use of data integration tools, databases, and cloud computing. These technologies facilitate the merging, storage, and analysis of large data sets. Additionally, advancements in machine learning and artificial intelligence enable more sophisticated analyses and predictions based on connected data, enhancing the overall efficiency of data-driven decision-making.
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