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2.2 Joint, Marginal and Conditional Relative Frequencies — Answers and Rubrics

These solutions explain the new practice tasks in this lesson. For simulation parts, a valid recorded run may differ from another learner’s run; the rubric checks the model, recorded work and interpretation.

Original generated practice for the Fall 2026 course. Return to the lesson and independent checks.

Calculate Relative Frequencies from a Café Table: worked answer

Complete drink-choice population for one specified café day
Drink choiceMorningAfternoonTotal
Tea184260
Coffee421860
Total6060120

Every one of the 120 orders is classified as tea or coffee and as morning or afternoon. The counts are exact for this day.

Part a

Construct a complete joint-relative-frequency table, including its marginal row/column totals. Identify tea-and-morning, tea overall, and afternoon overall, stating each denominator.

Answer: joint relative frequencies
ChoiceMorningAfternoonTotal
Tea.15.35.50
Coffee.35.15.50
Total.50.501.00

Tea-and-morning is 18/120=.15; tea overall is 60/120=.50; afternoon overall is 60/120=.50. Every joint and marginal proportion uses grand total 120.

Part a scoring criteria
Evidence for creditPoints
Constructs all four joint cells correctly.1
Includes both sets of margins and total 1.1
Names the requested proportions and denominator 120.1

Return to this independent task

Part b

Calculate the complete drink-choice distribution among afternoon orders and the complete time-of-day distribution among tea orders. Explain the restricted reference groups and why their totals are each 100%.

Among afternoon orders: tea 42/60=.70 and coffee 18/60=.30. Among tea orders: morning 18/60=.30 and afternoon 42/60=.70. The first denominator is the afternoon column total; the second is the tea row total. Each pair accounts for every order in its own restricted group and sums to 1.

Part b scoring criteria
Evidence for creditPoints
Computes .70/.30 for afternoon drink choice.1
Computes .30/.70 for time among tea orders.1
Identifies column versus row reference groups and total 1.1

Return to this independent task

Compare and Justify a Café Claim: worked answer

Complete drink-choice population for one specified café day
Drink choiceMorningAfternoonTotal
Tea184260
Coffee421860
Total6060120

Every one of the 120 orders is classified as tea or coffee and as morning or afternoon. The counts are exact for this day.

Part a

Calculate and compare the complete drink-choice distributions in morning and afternoon. Determine whether time of day and drink choice are associated in these data.

Morning is 18/60=.30 tea and 42/60=.70 coffee; afternoon is .70 tea and .30 coffee. The conditional distributions differ, supporting association between time of day and drink choice for this café day.

Part a scoring criteria
Evidence for creditPoints
Calculates both complete conditional distributions.1
Compares them and makes the appropriate contextual association conclusion.1

Return to this independent task

Part b

Justify or reject the claim “Tea is a larger share of afternoon orders than morning orders.” Use calculated summary statistics, a numerical comparison and a precise contextual conclusion. Explain why equal overall tea/coffee totals do not settle this claim.

The claim is supported: tea is 70% of afternoon orders versus 30% of morning orders, a 40-percentage-point difference. Overall tea and coffee each total 60, but those marginal counts hide the different time-specific distributions. The conclusion describes this café day’s orders.

Part b scoring criteria
Evidence for creditPoints
Uses .70 versus .30 and the correct time-specific denominators.1
Supports the claim in the defined café population.1
Explains why marginal totals are insufficient.1

Return to this independent task

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