Explanation 1
A chart is useful only when it clarifies the decision.
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Lesson 4 of 9
A practical workflow moves from a decision question to variables, summaries, comparison, action, and review.
Theory
Statistics supports decisions when the workflow is clear: define the question, identify the data, summarize the pattern, compare alternatives, state limits, and recommend a next action. The cards below show how the same habit appears across business settings.
Explanation 1
A chart is useful only when it clarifies the decision.
Explanation 2
A statistical idea should match the variable type and comparison.
Explanation 3
An R task should be simple enough to reproduce and explain.
Interactive visual
Explore eight business settings and compare the decision question, likely chart, and synthetic data signal for each one.
Ranked table
A ranked table or bar chart can push unusually large amounts to the top for review.
Accessible chart summary: Auditing: A ranked table or bar chart can push unusually large amounts to the top for review.
Worked example
Scenario
Business question: Which invoices are most likely to need review? Data needed: Invoice amount, vendor, date, approver, change history. Statistical idea: Outlier detection and grouped summaries.
The best statistical tool depends on the decision, the variable types, and the comparison being made.
Worked example
Scenario
Business question: Which customer groups respond differently? Data needed: Channel, device, campaign, clicks, signups, purchase value. Statistical idea: Group comparison and proportions.
The best statistical tool depends on the decision, the variable types, and the comparison being made.
Worked example
Scenario
Business question: When are delays most likely? Data needed: Arrival time, appointment type, provider, wait minutes. Statistical idea: Descriptive summaries by time block.
The best statistical tool depends on the decision, the variable types, and the comparison being made.
Worked example
Scenario
Business question: Which supplier batches need attention? Data needed: Supplier, inspected units, defects, defect rate, batch date. Statistical idea: Rate comparison and process monitoring.
The best statistical tool depends on the decision, the variable types, and the comparison being made.
Worked example
Scenario
Business question: How much should be reserved for warranty claims? Data needed: Units sold, claim counts, repair cost, product version. Statistical idea: Estimation and distribution of costs.
The best statistical tool depends on the decision, the variable types, and the comparison being made.
Worked example
Scenario
Business question: How many staff are needed for each meal period? Data needed: Orders, revenue, wait time, meal period, promotion flag. Statistical idea: Time-based summaries and comparison.
The best statistical tool depends on the decision, the variable types, and the comparison being made.
Worked example
Scenario
Business question: Which visit patterns lead to more signups? Data needed: Visits, bounce rate, signup count, device type. Statistical idea: Association and conversion-rate summaries.
The best statistical tool depends on the decision, the variable types, and the comparison being made.
Worked example
Scenario
Business question: What demand should be expected next week? Data needed: Date, past sales, promotions, weather or events. Statistical idea: Trend, seasonality, and uncertainty.
The best statistical tool depends on the decision, the variable types, and the comparison being made.
Try it prompt
Pick two application cards. For each, write one extra variable that would improve the analysis and one privacy or quality concern.
Assistant
Help me compare two application cards and decide what chart would fit each one.
Exit check
Check how well you can match questions, data, charts, and R tasks.
Checkpoint
Question 1 of 4. Answered 0/4. Passing score: 70%.