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2.7 Independence and the Union of Events — 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.

Two Chance Stations and an Overlapping Survey: worked answer

Station 1 rolls a fair six-sided die; event A is a result of 5 or 6. Station 2 tosses a fair coin independently; event B is heads. In a separate survey population, 60% visited a science museum (S), 50% visited a history museum (H), and 40% visited both. These survey percentages are exact for the stated population.

Part a

For the stations, calculate P(A), P(B), P(A and B), P(A given B), and P(B given A). Use your results to verify independence. Then calculate P(A or B or both), showing the union rule.

P(A)=2/6=1/3P(A)=2/6=1/3, P(B)=1/2P(B)=1/2, and independence gives P(A∩B)=1/6P(A\cap B)=1/6. Then P(A∣B)=(1/6)/(1/2)=1/3=P(A)P(A\mid B)=(1/6)/(1/2)=1/3=P(A), and P(B∣A)=(1/6)/(1/3)=1/2=P(B)P(B\mid A)=(1/6)/(1/3)=1/2=P(B). Finally P(A∪B)=1/3+1/2−1/6=2/3P(A\cup B)=1/3+1/2-1/6=2/3.

Part a scoring criteria
Evidence for creditPoints
Computes all five station probabilities correctly.1
Uses both conditional identities or the product identity to verify independence.1
Calculates union 2/3 with the overlap subtracted once.1

Return to this independent task

Part b

Calculate the museum union probability in both word and symbol notation. Verify whether S and H are independent, and justify why simply adding 60% and 50% would be wrong.

P(S union H)=P(S∪H)=0.60+0.50−0.40=0.70P(S\text{ union }H)=P(S\cup H)=0.60+0.50-0.40=0.70. They are not independent because P(S∩H)=0.40≠0.60(0.50)=0.30P(S\cap H)=0.40\neq0.60(0.50)=0.30; equivalently P(H∣S)=0.40/0.60≠0.50P(H\mid S)=0.40/0.60\neq0.50. Adding 0.60 and 0.50 double-counts the 40% who visited both.

Part b scoring criteria
Evidence for creditPoints
Shows both union notations and .70.1
Compares the actual .40 overlap with .30 under independence.1
Explains double-counting in context.1

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Part c

A separate spinner has two red sectors, two blue sectors and two green sectors, all equally likely. On one spin, calculate the joint and union probabilities for Red and Blue. Use a conditional probability to explain why these disjoint events are dependent.

P(R)=P(L)=1/3P(R)=P(L)=1/3, P(R∩L)=0P(R\cap L)=0, and P(R∪L)=2/3P(R\cup L)=2/3, where L labels Blue. Given Red, Blue has conditional probability 0 instead of its marginal 1/3, so the events are dependent despite being disjoint.

Part c scoring criteria
Evidence for creditPoints
Obtains joint 0 and union 2/3.1
Shows conditional probability 0 differs from marginal 1/3 and explains dependence.1

Return to this independent task

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