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MISY5370 Data Mining & Predictive Analytics Midterm (2025/2026) – 150+ Questions with Answers | Classification, Clustering, Excel Tools

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This document is a complete midterm exam preparation resource for the course MISY5370 – Data Mining & Predictive Analytics for the academic year 2025/2026, designed specifically for students at the University of Texas Rio Grande Valley (UTRGV) and other graduate programs in business analytics, information systems, or data science. It contains 150+ exam-style questions and verified answers, already graded A+, making it ideal for mastering the key concepts needed to succeed in the course and beyond. The document covers a comprehensive range of topics critical for data-driven decision-making in modern business environments, including: Descriptive, Predictive, and Prescriptive Analytics Data Mining Techniques (e.g., clustering, classification, association rules) Excel-Based Modeling (PivotTables, Goal Seek, Data Tables, VLOOKUP, IF functions) Visualization Tools (charts, dashboards, heat maps, scatter plot matrix) Statistical Methods (regression trees, logistic regression, k-NN, RMSE) Evaluation Metrics (confusion matrix, error rates, lift charts, sensitivity/specificity) Each question is structured in a glossary-style Q&A format with concise definitions and applied examples, which aids fast recall and exam performance. This midterm guide is also useful for students preparing for data science certifications, applied analytics roles, or academic research in business intelligence. Suitable for: Graduate students in MIS, Business Analytics, Data Science, Information Systems Courses in Data Mining, Predictive Analytics, Business Intelligence, and Operations Management Programs at the University of Texas Rio Grande Valley, and other universities offering MISY or MBA concentrations in analytics Professionals preparing for industry-aligned data analytics assessments Keywords: data mining midterm, predictive analytics exam, MISY5370, business analytics questions, clustering and classification, Excel data tools, logistic regression, confusion matrix, association rules, UTRGV analytics course, supervised learning, visualization in Excel, data science exam prep

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Uploaded on
October 15, 2025
Number of pages
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Written in
2025/2026
Type
Exam (elaborations)
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Questions & answers

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MISY5370-Data Mining & Predictive
Analytics Midterm 2025/2026 Exam
Questions and Verified Answers |
Already Graded A+



Strategic Decision - 🧠 ANSWER ✔✔a decision that involves higher-level

issues and that is concerned with the overall direction of the organization,

defining the overarching goals and aspirations for the organization's future


Tactical decision - 🧠 ANSWER ✔✔a decision concerned with how the

organization should achieve the goals and objectives set by its strategy


Operational Decision - 🧠 ANSWER ✔✔a decision concerned with how the

organization is the run from day to day


Business Analytics - 🧠 ANSWER ✔✔the scientific process of transforming

data into insight for making better decisions

,descriptive analytics - 🧠 ANSWER ✔✔analytical tools that describe what

has happened


data query - 🧠 ANSWER ✔✔a request for information with certain

characteristics from a database


data dashboard - 🧠 ANSWER ✔✔a collection of tables, charts, and maps

to help management monitor selected aspects of the company's

performance


predictive analytics - 🧠 ANSWER ✔✔techniques that use models

constructed from past data to predict the future or to ascertain the impact of

one variable on another


data mining - 🧠 ANSWER ✔✔techniques used to find patterns or

relationships among elements of the data in a large database


simulation - 🧠 ANSWER ✔✔the use of probability and statistics to construct

a computer model to study the impact of uncertainty on the decision at

hand


Prescriptive analytics - 🧠 ANSWER ✔✔techniques that take input data and

yield a best course of action

, optimization model - 🧠 ANSWER ✔✔a mathematical model that gives the

best decision, subject to the simulation's constraints


simulation optimization - 🧠 ANSWER ✔✔the use of probability and

statistics to model uncertainty, coalyimbined with optimization techniques ,

to find good decisions in highly complex and highly uncertain settings


decision analysis - 🧠 ANSWER ✔✔a technique used to develop an optimal

strategy when a decision maker is faced with several decision alternatives

and an uncertain set of future events


utility theory - 🧠 ANSWER ✔✔the study of the total worth or relative

desirability of a particular outcome that reflects the decision maker's

attitude toward a collection of factors such as profit, loss, and risk


big data - 🧠 ANSWER ✔✔a set of data that cannot be managed,

processed, or analyzed with commonly available software in a reasonable

amount of time


advanced analytics - 🧠 ANSWER ✔✔predictive and prescriptive analytics




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