Review practice
Choose a section to work through its questions and solutions. Your progress is shared across pages. Ranges follow collection order; original source labels are kept on each question.
Section 1 · Questions 1–6
Seeds: when a binomial model is an approximation · Separate a bulb fault from simultaneous bulb-and-switch faults · +4 more
- Question 1 · Seeds: when a binomial model is an approximation
- Question 2 · Separate a bulb fault from simultaneous bulb-and-switch faults
- Question 3 · Distinguish a sample count from the position of a final success
- Question 4 · Count faults across two boxes rather than test each box separately
- Question 5 · Solve a rejection probability and then model accepted cartons
- Question 6 · Compare a binomial majority with waiting for one further red pen
Section 2 · Questions 7–12
Carry a rare cap-defect tail into a box-level distribution · Carry an underweight-chocolate event into a box count · +4 more
- Question 7 · Carry a rare cap-defect tail into a box-level distribution
- Question 8 · Carry an underweight-chocolate event into a box count
- Question 9 · Translate birthday counts and find a strict minimum sample size
- Question 10 · Derive a cookie success rate and compare two minimum-packet methods
- Question 11 · Convert weeks to trials and use a variance restriction
- Question 12 · Read a binomial mode and an expected number of qualifying samples
Section 3 · Questions 13–18
Use a noninteger mean, compare modal counts and audit finite-population assumptions · Find the smallest binomial distribution with two tied modes · +4 more
- Question 13 · Use a noninteger mean, compare modal counts and audit finite-population assumptions
- Question 14 · Find the smallest binomial distribution with two tied modes
- Question 15 · Choose hypergeometric or binomial sampling from replacement rules
- Question 16 · Compare an ordered third success with exactly three successes
- Question 17 · Separate infection counts from a later conditional-test model
- Question 18 · Reverse an overbooking event into a conditional no-show count