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| Section | Objectives |
|---|---|
| Decision-Making Frameworks | - Cost-Benefit Analysis - Rational Decision Models - Evidence-Based Decision Making - Risk Analysis and Assessment |
| Data Analysis Fundamentals | - Data Quality and Cleaning - Data Visualization Techniques - Data Types and Measurement Scales - Descriptive Statistics |
| Business Intelligence and Analytics | - Data Mining Concepts - Key Performance Indicators (KPIs) - Dashboards and Reporting - Predictive Analytics Basics |
| Data-Driven Culture and Communication | - Ethical Considerations in Data Use - Building Data-Informed Organizations - Presenting Data Insights - Stakeholder Communication |
>> Data-Driven-Decision-Making Study Guide <<
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NEW QUESTION # 115
Which step in the plan-do-check-act cycle is described as analyzing the results of an experiment and deciding whether those results can be improved?
Answer: B
Explanation:
TheCheckphase of the Plan-Do-Check-Act (PDCA) cycle involves evaluating outcomes and analyzing results. In data-driven decision making, this step compares actual performance against expected results to determine whether objectives were met.
During the Check phase, organizations review data, assess variation, and identify opportunities for improvement. Planning defines objectives, Doing implements changes, and Acting standardizes or adjusts processes based on evaluation.
Therefore, the correct answer isA, Check.
NEW QUESTION # 116
A bakery owner would like to know how many cakes to sell for monthly profit to equal zero. Which analysis method should the owner perform?
Answer: A
Explanation:
The bakery owner wants to determine the sales level at which profit equals zero. This is the definition of break-even analysis. Break-even analysis identifies the number of units that must be sold so that total revenue exactly equals total cost, meaning there is neither profit nor loss. It is a widely used prescriptive and managerial decision tool for pricing, budgeting, production planning, and cost control. ANOVA is used to compare means across groups, not to find a zero-profit sales level. A t-test compares means between two groups, which is also unrelated to the goal of determining the required sales quantity for no profit or loss.
"Crossover" is not the standard term for this type of profitability calculation in business analytics. Break-even analysis helps managers understand fixed costs, variable costs, contribution margin, and the minimum output required to sustain operations. Therefore, the correct method for determining how many cakes must be sold so that monthly profit equals zero is break-even analysis.
NEW QUESTION # 117
A county government is creating a budget for the next fiscal year. They wish to use analytics to guide their decisions about costs.
Which analytic method can the county apply to this issue?
Answer: B
Explanation:
To guide budgeting decisions, data-driven decision making emphasizesbenchmarking against comparable organizations. Using theaverage cost per project spent by other similar countiesallows the county to assess whether its planned expenditures are reasonable and competitive.
Benchmarking provides external context that internal historical metrics cannot. While median costs or project counts describe internal performance, they do not indicate whether spending levels are appropriate relative to peers. Comparing average costs across similar counties helps identify inefficiencies, cost-saving opportunities, and realistic budget targets.
Therefore, optionAis the most effective analytic method for cost-based decision-making in this scenario.
NEW QUESTION # 118
An analyst used multiple linear regression to show how a big box store's sales (y) are predicted by the big box store's advertising expenditure in dollars (variable x1) and the advertising expenditure in dollars of a specialty store (variable x2) in the same market. The estimated regression is y = 651.57 + 92.30x1 # 26.89x2. How are advertising expenditures and sales related in this scenario?
Answer: D
NEW QUESTION # 119
The daily sales from a salon are normally distributed with a mean of $1,500 and a standard deviation of $250.
The salon owner notices that sales were $750 on a particular day.
Why should the owner be concerned about sales based on this scenario?
Answer: D
Explanation:
In a normal distribution, most observations fall withinthree standard deviations of the mean. This principle is central to data-driven decision making and statistical process control. Values outside this range are considered highly unusual and may indicate an underlying problem.
Here, the mean is $1,500 and the standard deviation is $250. Three standard deviations below the mean equals
$750 ($1,500 # 3 × $250). Sales of exactly $750 fall at the extreme lower boundary, indicating an unusually low sales day.
Such an outcome signals a potential anomaly that warrants investigation, such as operational issues, staffing shortages, or external disruptions. Values this far from the mean occur very infrequently in normal conditions.
Therefore, the owner should be concerned because sales of $750 areoutside the typical operating range, making optionCthe correct answer.
NEW QUESTION # 120
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