JNTU
JNTU B.Tech III INTRODUCTION TO ANALYTICS (ASSOCIATE ANALYTICS I) Previous Question Paper (March - 2024 - R16)
Note: i) Question paper consists of Part A, Part B.
ii) Part A is compulsory, which carries 25 marks. In Part A, Answer all questions.
iii) In Part B, Answer any one question from each unit. Each question carries 10 marks and may have a, b as sub questions.
Part A
What is structured array? Give example.
Answer
A structured array in NumPy is an ndarray where the data type is a composite of multiple fields, each with its own name and data type, allowing for the storage of heterogeneous data in a single contiguous block of memory. This is similar to a struct in C or a row in a relational database table.
Example:
dt = np.dtype([('name', 'S10'), ('age', 'i4'), ('weight', 'f4')])
arr = np.array([('Alice', 25, 55.5), ('Bob', 30, 70.2)], dtype=dt)
Define work management and its prioritization.
Answer
Work management is the systematic process of planning, organizing, and tracking tasks and resources to ensure projects are completed efficiently and effectively. It involves defining workflows, assigning responsibilities, and monitoring progress to meet organizational goals.
Prioritization is the act of ranking tasks based on their relative importance, urgency, and impact on business objectives. It ensures that limited resources and time are focused on high-value activities first, often utilizing frameworks such as the Eisenhower Matrix or MoSCoW method to distinguish between critical requirements and secondary tasks.
Differentiate between Team work and Individual work.
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What are the types of variables available in R?
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What are the uses of NOSQL databases?
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How to Read R output in Excel? Explain.
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Define Multicollinearity and explain.
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With example, explain about forecasting.
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What are requirements gathering? Explain.
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Write the purpose of engineering design.
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Part B
Discuss about various Data types in R with example.
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With examples, explain about outliers and its significance.
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Write and explain R functions and R loops with examples.
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Explain about the concept of Reading Datasets.
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Explain about Teamwork communication and time management.
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Discuss about probability distribution and its computation in R.
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Explain about bivariate random variables in detail.
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With an example in R, explain about Central Limit Theorem.
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Develop a R program to illustrate database connectivity.
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Explain the features of NOSQL.
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Explain about Excel and R integration with R connector.
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Discuss about the term NOSQL. And differentiate between NOSQL and SQL.
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Explain the concept of basic Regression Analysis with a suitable example.
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Discuss about ANOVA test with example.
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With suitable example, discuss about multiple regression and its applications.
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Explain the terms correlation and auto correlation. Give examples.
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Discuss about the optimality function for a closed loop system.
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Compare and contrast the manufacturing and production activities with respect to automotive technology.
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Make a comparison of business analytics and organization decision-making processes.
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What is business objective? How do you gather all the data related to business objective? Discuss.
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