Complementary Probability and At-Least-One Scenarios

7 questions

Question 1Question

A bag contains 5 red marbles and 5 blue marbles. If 2 marbles are randomly selected from the bag one after another without replacement, what is the probability that at least one of the selected marbles is red?

Show answer & explanation

Answer: 79\frac{7}{9}

Answer

79\frac{7}{9}
To find the probability of drawing at least one red marble, calculate the probability of the complementary event (drawing two blue marbles) and subtract it from 1. The probability of selecting a blue marble on the first draw is 510\frac{5}{10}, and on the second draw without replacement it is 49\frac{4}{9}. The probability of both marbles being blue is 510×49=29\frac{5}{10} \times \frac{4}{9} = \frac{2}{9}. Subtracting this from 1 gives 129=791 - \frac{2}{9} = \frac{7}{9}.

Step-by-Step Solution

1
Identify the complementary outcome
The event 'at least one marble is red' is complementary to the event 'no marbles are red' (i.e., 'both marbles are blue').
Using the relationship P(at least one red)=1P(both blue)P(\text{at least one red}) = 1 - P(\text{both blue}) is simpler than summing individual favorable cases.
2
Calculate the probability of drawing two blue marbles without replacement
The probability that the first marble is blue is 510=12\frac{5}{10} = \frac{1}{2}. The probability that the second marble is blue is 49\frac{4}{9}. Therefore, P(both blue)=510×49=2090=29P(\text{both blue}) = \frac{5}{10} \times \frac{4}{9} = \frac{20}{90} = \frac{2}{9}.
Since draws are without replacement, the sample space and number of blue marbles decrease by 1 after the first draw.
3
Subtract the complementary probability from 1
P(at least one red)=129=79P(\text{at least one red}) = 1 - \frac{2}{9} = \frac{7}{9}.
The sum of complementary probabilities is always equal to 1.

Key Concept

Complementary Probability: P(at least one)=1P(none)P(\text{at least one}) = 1 - P(\text{none})
Question 2Question

An automated security gate opens successfully on any given approach with a probability of 0.80.8, independently of other attempts. If a driver approaches the gate 33 times, the probability that the gate opens successfully at least once is 0.9920.992.

Show answer & explanation

Answer: True

Answer

The statement is true because the probability of failing all 33 independent attempts is (10.8)3=0.008(1 - 0.8)^3 = 0.008, making the probability of at least one successful opening 10.008=0.9921 - 0.008 = 0.992.
The statement accurately reflects the complementary probability principle P(at least one)=1P(none)P(\text{at least one}) = 1 - P(\text{none}). For 33 independent trials with single-trial failure probability 0.20.2, the probability of all trials failing is 0.23=0.0080.2^3 = 0.008. Subtracting this from 11 yields 0.9920.992.

Step-by-Step Solution

1
Find the probability of failure on a single trial
P(failure)=10.8=0.2P(\text{failure}) = 1 - 0.8 = 0.2
The failure of a trial is the complement of its success.
2
Calculate the probability of zero successes across 3 independent trials
P(0 successes)=(0.2)3=0.008P(\text{0 successes}) = (0.2)^3 = 0.008
For independent events, the joint probability is the product of individual probabilities.
3
Apply the complementary probability rule to find the probability of at least one success
P(at least 1 success)=10.008=0.992P(\text{at least 1 success}) = 1 - 0.008 = 0.992
The event 'at least one success' is the exact complement of 'zero successes'.

Key Concept

Complementary Probability and At-Least-One Scenarios
Question 3Question

A testing kit contains 88 electronic sensors, of which exactly 33 are uncalibrated and 55 are fully calibrated. If 33 sensors are chosen at random without replacement, what is the probability that at least 11 of the chosen sensors is uncalibrated?

Show answer & explanation

Answer: 2328\frac{23}{28}

Answer

The correct answer is 2328\frac{23}{28}.
To find the probability that at least one sensor is uncalibrated, calculate 1 minus the probability that no selected sensors are uncalibrated. Out of 8 sensors, there are (83)=56\binom{8}{3} = 56 ways to pick 3. The number of ways to pick 3 calibrated sensors from the 5 available is (53)=10\binom{5}{3} = 10. Thus, P(no uncalibrated)=1056=528P(\text{no uncalibrated}) = \frac{10}{56} = \frac{5}{28}. Subtracting this from 1 gives 1528=23281 - \frac{5}{28} = \frac{23}{28}.

Step-by-Step Solution

1
Calculate the total number of ways to choose 3 sensors out of 8.
(83)=8×7×63×2×1=56\binom{8}{3} = \frac{8 \times 7 \times 6}{3 \times 2 \times 1} = 56 total outcomes.
Selection is made without replacement and order does not matter.
2
Calculate the complementary event: selecting 0 uncalibrated sensors (all 3 selected sensors are calibrated).
(53)=(52)=5×42×1=10\binom{5}{3} = \binom{5}{2} = \frac{5 \times 4}{2 \times 1} = 10 outcomes with all calibrated sensors.
There are 5 calibrated sensors available, and 3 must be selected from them.
3
Find the probability of the complementary event (no uncalibrated sensors selected).
P(no uncalibrated)=1056=528P(\text{no uncalibrated}) = \frac{10}{56} = \frac{5}{28}.
Divide the favorable outcomes for selecting all calibrated sensors by total possible outcomes.
4
Apply the complementary probability principle to find P(at least one uncalibrated)P(\text{at least one uncalibrated}).
P(at least one uncalibrated)=1P(no uncalibrated)=1528=2328P(\text{at least one uncalibrated}) = 1 - P(\text{no uncalibrated}) = 1 - \frac{5}{28} = \frac{23}{28}.
The sum of probabilities of complementary events is 1.

Key Concept

Complementary Probability: P(at least one X) = 1 - P(no X)
Question 4Question

A quality control inspector reviews a shipment containing a total of NN customized components, of which exactly 3 are defective. The inspector randomly selects 3 components from the shipment one by one without replacement. If the probability that at least one of the selected components is defective is equal to 3135\frac{31}{35}, what is the value of NN?

Show answer & explanation

Answer: 7

Answer

The total number of components in the shipment, NN, is 7.
To find NN, apply the complementary probability formula P(at least 1 defective)=1P(0 defective)P(\text{at least 1 defective}) = 1 - P(\text{0 defective}). Given that P(at least 1 defective)=3135P(\text{at least 1 defective}) = \frac{31}{35}, the probability of drawing zero defective components is 13135=4351 - \frac{31}{35} = \frac{4}{35}. Out of NN total components, N3N-3 are non-defective. Drawing 3 non-defective components without replacement gives P(0 defective)=(N3)(N4)(N5)N(N1)(N2)P(\text{0 defective}) = \frac{(N-3)(N-4)(N-5)}{N(N-1)(N-2)}. Setting this equal to 435\frac{4}{35} and testing integer values starting at N=6N=6 yields N=7N=7, since 4×3×27×6×5=24210=435\frac{4 \times 3 \times 2}{7 \times 6 \times 5} = \frac{24}{210} = \frac{4}{35}.

Step-by-Step Solution

1
Calculate the probability of the complementary event (selecting no defective components).
P(0 defective)=13135=435P(\text{0 defective}) = 1 - \frac{31}{35} = \frac{4}{35}.
Calculating 'at least one' directly requires summing three separate cases (1 defective, 2 defective, 3 defective), whereas using the complement P(at least 1)=1P(none)P(\text{at least 1}) = 1 - P(\text{none}) requires evaluating only one scenario.
2
Formulate the algebraic expression for picking 3 non-defective components without replacement.
P(0 defective)=(N33)(N3)=(N3)(N4)(N5)N(N1)(N2)P(\text{0 defective}) = \frac{\binom{N-3}{3}}{\binom{N}{3}} = \frac{(N-3)(N-4)(N-5)}{N(N-1)(N-2)}.
There are N3N-3 non-defective components out of NN total components, and 3 are selected without replacement.
3
Equate the algebraic probability to the known complementary probability and solve for NN.
\frac{(N-3)(N-4)(N-5)}{N(N-1)(N-2)} = \frac{4}{35} \implies N = 7.
Testing N=7N = 7 yields 4×3×27×6×5=24210=435\frac{4 \times 3 \times 2}{7 \times 6 \times 5} = \frac{24}{210} = \frac{4}{35}. The function is strictly increasing for N6N \ge 6, making N=7N = 7 the unique integer solution.

Key Concept

Complementary Probability and Dependent Sampling (Without Replacement)
Question 5Question

A financial firm's investment committee consists of 8 senior analysts and 4 junior analysts. If a project review panel of 3 members is chosen at random without replacement from this committee, what is the probability that the panel contains at least one junior analyst?

Show answer & explanation

Answer: 4155\frac{41}{55}

Answer

The probability that the panel contains at least one junior analyst is 4155\frac{41}{55}.
To find the probability of selecting at least one junior analyst, it is most efficient to use the complementary probability rule: P(at least one junior)=1P(no junior)P(\text{at least one junior}) = 1 - P(\text{no junior}). The total number of ways to choose 3 panel members from 12 committee members is (123)=220\binom{12}{3} = 220. The number of ways to choose 3 senior analysts from 8 is (83)=56\binom{8}{3} = 56. Thus, the probability of selecting no junior analysts is 56220=1455\frac{56}{220} = \frac{14}{55}. Subtracting this from 1 gives 11455=41551 - \frac{14}{55} = \frac{41}{55}.

Step-by-Step Solution

1
Calculate total possible outcomes for choosing 3 members out of 12.
(123)=12×11×103×2×1=220\binom{12}{3} = \frac{12 \times 11 \times 10}{3 \times 2 \times 1} = 220 total combinations.
Selection order does not matter, so combinations nCrnCr are used.
2
Calculate the number of unfavorable outcomes where zero junior analysts are chosen (all 3 selected are senior analysts).
(83)=8×7×63×2×1=56\binom{8}{3} = \frac{8 \times 7 \times 6}{3 \times 2 \times 1} = 56 ways.
All 3 members must be selected exclusively from the 8 senior analysts.
3
Find the probability of selecting zero junior analysts.
P(no junior analysts)=56220=1455P(\text{no junior analysts}) = \frac{56}{220} = \frac{14}{55}.
Divide the unfavorable outcomes by the total outcomes.
4
Apply the complementary probability principle: P(at least 1 junior)=1P(no junior)P(\text{at least 1 junior}) = 1 - P(\text{no junior}).
P(at least 1 junior)=11455=4155P(\text{at least 1 junior}) = 1 - \frac{14}{55} = \frac{41}{55}.
The event 'at least one junior analyst' is the logical complement of 'no junior analysts'.

Key Concept

Complementary Probability
Estimated Time:2m 0s
Question 6Question

If 3 components are randomly selected without replacement from a batch of 10 components containing exactly 2 defective components, the probability that at least one selected component is defective is equal to 815\frac{8}{15}.

Show answer & explanation

Answer: True

Answer

True. The probability of selecting at least one defective component is indeed 815\frac{8}{15}.
The statement correctly computes the probability of selecting at least one defective component using 1P(no defective components)=1(83)(103)=1715=8151 - P(\text{no defective components}) = 1 - \frac{\binom{8}{3}}{\binom{10}{3}} = 1 - \frac{7}{15} = \frac{8}{15}.

Step-by-Step Solution

1
Identify the complementary event
The complement of 'at least one defective component' is 'zero defective components' (all 3 selected components are non-defective).
Calculating P(at least one)=1P(none)P(\text{at least one}) = 1 - P(\text{none}) avoids calculating multiple dependent individual outcomes.
2
Calculate the total combinations for choosing 3 components from 10
(103)=10×9×83×2×1=120\binom{10}{3} = \frac{10 \times 9 \times 8}{3 \times 2 \times 1} = 120.
This establishes the sample space size.
3
Calculate the combinations for choosing 3 non-defective components from 8
(83)=8×7×63×2×1=56\binom{8}{3} = \frac{8 \times 7 \times 6}{3 \times 2 \times 1} = 56.
There are 8 non-defective components in the batch.
4
Compute P(0 defective)P(\text{0 defective}) and subtract from 1
P(0 defective)=56120=715P(\text{0 defective}) = \frac{56}{120} = \frac{7}{15}. Therefore, P(at least 1 defective)=1715=815P(\text{at least 1 defective}) = 1 - \frac{7}{15} = \frac{8}{15}.
Completing the complementary calculation confirms the statement is correct.

Key Concept

Complementary Probability and At-Least-One Scenarios without Replacement
Question 7Question

A financial firm has a team of 10 auditors consisting of 6 certified public accountants (CPAs) and 4 audit assistants. A special audit task force of 3 auditors is to be selected at random from the team. If the probability that the task force contains at least one CPA is expressed as a fraction ab\frac{a}{b} in simplest form, what is the value of a+ba + b?

Show answer & explanation

Answer: 59

Answer

59
To find the probability of selecting at least one CPA, it is most efficient to use the complementary probability formula: P(at least 1 CPA)=1P(no CPAs)P(\text{at least 1 CPA}) = 1 - P(\text{no CPAs}). The total number of ways to select any 3 auditors from the team of 10 is given by (103)=10×9×83×2×1=120\binom{10}{3} = \frac{10 \times 9 \times 8}{3 \times 2 \times 1} = 120. The number of ways to select 3 auditors such that none are CPAs (i.e., all 3 are audit assistants) is (43)=4\binom{4}{3} = 4. Therefore, the probability of choosing zero CPAs is 4120=130\frac{4}{120} = \frac{1}{30}. Subtracting from 1 gives 1130=29301 - \frac{1}{30} = \frac{29}{30}. The fraction 2930\frac{29}{30} is in simplest form because 29 is a prime number and does not divide 30. Thus, a=29a = 29 and b=30b = 30, making a+b=59a + b = 59.

Step-by-Step Solution

1
Calculate total possible combinations for selecting 3 members from 10.
\binom{10}{3} = 120
Selection is made without replacement and order of selection does not matter.
2
Calculate combinations of selecting 3 members with no CPAs.
\binom{4}{3} = 4
All 3 selected members must come from the pool of 4 audit assistants.
3
Determine probability of the complement event (no CPAs).
P(\text{no CPA}) = \frac{4}{120} = \frac{1}{30}
Probability is favorable outcomes over total outcomes.
4
Compute probability of at least one CPA.
P(\text{at least 1 CPA}) = 1 - \frac{1}{30} = \frac{29}{30}
P(\text{at least one}) = 1 - P(\text{none}).
5
Find the sum of numerator a and denominator b in simplest form.
a + b = 29 + 30 = 59
29/30 cannot be simplified further as 29 is a prime number.

Key Concept

Complementary Probability and At-Least-One Scenarios