Browse all practice questions for the Arizona State University (ASU) WPC 300 Problem Solving and Actionable Analytics Class number Practice Exam. Search by topic, open any question and review its full explanation, then test yourself in the practice quiz.

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  • In experiments, what is a control group?
  • Ethics in analytics include which principles?
  • Which element is explicitly addressed to reflect decision maker values and boundaries in a well-formed problem statement?
  • Which statement is consistent with the best practice?
  • Which of the following is not a characteristic of good problem statements?
  • Which statement reflects a core aspect of data ethics?
  • Which data type uses numbers to label categories with no inherent order?
  • Which of the following statements about KPI is true?
  • True or False: Data cannot be used to disaggregate problems.
  • Which of the following chart types is generally not used for data exploration?
  • Which statement best describes the relationship between correlation and causation?
  • A problem disaggregation element is mutually exclusive. Which option best describes this property?
  • Time series forecasting is used for what purpose?
  • In predictive modeling, what describes overfitting?
  • What is the primary purpose of data visualization best practices?
  • In a multi-dimensional analysis, keeping one of the dimensions constant and analyzing two dimensions of a cube is called.
  • Which of the following is an example of nominal data?
  • Which data type uses numbers as identifiers with no real meaning?
  • In the case of Pacific Salmon, which logic tree helped us see the big levers that affect the abundance of salmon in the Pacific Ocean?
  • Which statement best describes analyses in a best-practice work plan?
  • Which statement best describes the primary objective of problem framing in a data analytics project?
  • If a disease grows at 12% per week starting from 100,000 infected, how many weeks will it take to reach 800,000?
  • Regression analysis is used in business analytics to model relationships between a dependent variable and one or more independent variables. Which of the following is a common use?
  • What is the difference between business analytics and data analytics?
  • Which statement best describes Occam's razor?
  • Which of the following is a limitation of the reasoning by analogy heuristic?
  • When should you typically use a one-tailed test versus a two-tailed test?
  • Which heuristic would you use to understand whether your startup will run out of cash?
  • Which of the following logic trees starts with sub-elements on the left and the problem statements to the far right?
  • Which of the following are not examples of measures in a multi-dimensional analysis:
  • In multi-dimensional analysis, which operation involves analyzing a smaller cube by selecting a subset across dimensions?
  • Which statistic describes the spread of a continuous variable?
  • Which sequence correctly represents the DMAIC framework?
  • Which data type is exemplified by a person's body weight?
  • Which term describes the process of explaining how data moves from its origin to its final form, including transformations and storage?
  • One-day answers clarify where you are and what work is left to do—and provide a straw man for pressure-testing your work.
  • Which logic tree would include an 'if-then' structure where you could explore potential outcomes of each decision?
  • The root cause analysis uses one of the following techniques:
  • Which statement best differentiates correlation from causation?
  • What best describes root cause analysis?
  • Which is an example of a continuous data variable?
  • Which heuristic will the company use to perform analysis in a scenario involving compounding growth?
  • In hypothesis testing, the null hypothesis typically states what?
  • Which chart type is used to show prediction over time and is not typically used to describe the data?
  • What is data storytelling?
  • Which is a true statement about one-day answers?
  • In a multi dimensional analytical operation, analyzing a smaller version of a cube is called:
  • Which regression method is correctly matched with its typical use?
  • Which statement best distinguishes leading indicators from lagging indicators?
  • Which statement correctly contrasts structured and unstructured data?
  • Data lineage helps ensure data quality and traceability. Which statement best explains its practical purpose?
  • What is a hypothesis in statistical testing?
  • How is ROI calculated in business analytics?
  • According to Occam's razor, which hypothesis is preferred?
  • Data lineage describes the data's origin and its movement through transformations to its final form. Which of the following best reflects its purpose?
  • It is often difficult to see the structure of the problem; team brainstorming is hugely valuable, especially when trying different lenses or cleaving frames. Which practice is this describing?
  • What does getting an order of magnitude understanding imply?
  • Which option best describes the relationship between hypotheses and analyses?
  • During the problem disaggregation process, the logic trees should have branches that are:
  • In A/B testing, what is the primary purpose?
  • Which statement describes a comprehensive approach to best-practice work plans?
  • What is the role of data visualization in analytics?
  • How have managerial skills evolved in the 21st century?
  • Which practice helps mitigate bias in data and modeling?
  • What is the difference between a predictive and a prescriptive model?
  • Which statement correctly contrasts descriptive and diagnostic analytics?
  • Which statement best describes the role of time perspective in projects?
  • Which step in bulletproof problem solving is primarily about communicating the plan and findings?
  • What is normalization in data preprocessing?
  • What is the role of a data dictionary in analytics?
  • Which of the following describes common strategies to address missing data?
  • Which of the following best describes the nature of hypotheses in problem solving?
  • How can the problem statement be improved?
  • What step of the bulletproof problem-solving process helps avoid making common decision-making biases such as sunk cost fallacy?
  • As a farmer interested in data-driven decision-making, you want to determine the effect of 3 fertilizers on your crop yield. Which hypothesis testing would you use to determine if there is any difference in the yield between the three fertilizers?
  • Which element helps define whether a project meets stakeholder expectations and is used to judge success?
  • David asked repeatedly a why-type question to analyze a problem. What does he produce eventually?
  • In the hypothesis testing you are conducting, the confidence level needed is 99%. For you to reject the null hypothesis, the p-value needs to be:
  • In the example with the newspaper, the primary issue with the problem framing was:
  • Which measure is not used in describing a continuous data variable?
  • Which statement best defines a confidence interval?
  • When designing experiments with small sample sizes, what is a key consideration?
  • Which hypothesis testing method would you use to determine the impact of a drug when you measure patients before and after treatment?
  • In hypothesis testing, type II error occurs when:
  • What are the parameters of the standard normal distribution described in the material?
  • Which item is NOT typically evaluated in a data quality assessment?
  • What is the purpose of conducting a data quality assessment?
  • What does a data dictionary describe?
  • Which statement best describes a KPI?
  • In a data dictionary, what does lineage describe?
  • Which is not a best-practice for a work plan?
  • Poisson distribution is applied for which type of random variable?
  • Which statement is NOT true about good practice principles of data ethics?
  • What makes ratio data distinct from other data types?
  • Data governance is best described as which of the following?
  • At 20% annual growth, starting from 1,000,000 dollars, when will the startup reach 4,000,000 dollars in revenue?
  • Which technique is commonly used to address missing values during data cleaning?
  • Whys as a problem-solving method were developed at which company?
  • If you need to forecast a numerical outcome based on other variables, which technique would you use?
  • Which of the following is not one of the seven steps in bulletproof problem solving?
  • Which data type is used as a label rather than a numeric measure?
  • Which heuristic is used in situations involving compounding growth?
  • Which of the following is a characteristic of good problem statements?
  • A hypothesis test is a procedure to determine if observed data deviates significantly from a null hypothesis. Which concept does this describe?
  • Data lineage is best described as which of the following?
  • What does SMART stand for in objective setting for analytics projects?
  • The best-practice approach suggests that assigning specific tasks (who is doing what) is key to the successful work plan. Which option best aligns with this?
  • Which statement describes the break-even point?
  • What is the purpose of a data dictionary?
  • Which principle best describes a valuable metric?
  • What is a business case in analytics?
  • How is a p-value best interpreted in hypothesis testing?
  • Data can be used to disaggregate problems by revealing multiple dimensions of the problem. True or False?
  • Which problem statement requires 'analytical' skill to solve?
  • What does 'disaggregate' refer to in bulletproof problem solving?
  • Which of the following is an example of a discrete random variable?
  • In A/B testing, why is random assignment important?
  • Holding a single dimension fixed to examine the other two dimensions is known as which operation?
  • Which is a prudent constraint in the analysis process?
  • Frequency is typically used to describe which type of variable?
  • Which of the following is a fundamental step in the bulletproof problem solving process?
  • What is the best approach to determine the right metrics for a project?
  • Which cycle is correctly ordered as Plan, Do, Check, Act?
  • Which items are considered key components of a problem statement in WPC 300?
  • Power analysis is used to determine what in experimental design?
  • Poisson distribution is applied for:
  • Which statement is NOT among the best-practice approach to a work plan?
  • Which practice most closely aligns with ensuring timely delivery?
  • A critical analysis based on heuristics will lead to:
  • What is a dashboard, and what are best practices for design?
  • Cross-validation is used to do what?
  • ETL stands for what?
  • What is the effect of making the problem statement specific, measurable, and time-bound?
  • What is the difference between supervised and unsupervised learning?
  • Which analytics type is used to summarize data and provide a quick snapshot?
  • What is bias in data and how can it be mitigated?
  • To explain a complex model to a non-technical stakeholder, which approach is recommended?
  • Five Whys problem-solving method originated at which company?
  • In general, problem‑solving steps benefit substantially from which of the following?
  • True/False: A straw man is used for pressure-testing your work.
  • In the Pacific Salmon case, tree pruning was necessary because:
  • For a unicorn that has a 1.1% chance of hitting a $1 billion payoff, which is the expected value in millions of dollars?
  • In experiments, causality is established as a relationship where changes in one variable cause changes in another, typically via what design?
  • What is data governance?
  • Time series forecasting is commonly used for which scenario?
  • What does ROI stand for in analytics?
  • Edward Deming is associated with which problem solving framework?
  • What is the best way to improve the problem statement 'Reduce our operating costs'?
  • Which statement correctly describes Monte Carlo simulation?
  • What is Monte Carlo simulation used for?
  • What is a KPI?
  • In the context of work planning, which is a reasonable expectation?
  • During the pruning process, we remove elements of the disaggregation that have:
  • Which of the following describes a typical ETL data pipeline and its components?
  • What is the primary purpose of sensitivity analysis?
  • During a problem disaggregation process, you find each element represented in the tree is completely unique. This means that each element is:
  • Which expression correctly computes the expected value when the unicorn probability is 1.1% and the payoff is $1 billion?
  • In root cause analysis, what is the purpose of a fishbone (cause-and-effect) diagram?
  • Which scenario illustrates availability bias?
  • The tools and elements in this frame come from game theory and include concepts such as multi‐play games and reputation. Which frame is this?
  • Which sequence correctly represents ETL?
  • Which one of the following is not a characteristic of good problem statements:
  • Which statement best defines data cleaning and identifies two common techniques?
  • The value of actionability in analytics refers to insights that translate into concrete, implementable steps that drive business decisions. Which best describes it?
  • A continuous random variable x is normally distributed with a mean of 0 and a standard deviation of 1. The probability of an observation that lies within the range of -1.0 < x < 1.0 is:
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