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Abu visits his local hardware store to buy six light bulbs - AQA - A-Level Maths Mechanics - Question 15 - 2018 - Paper 3

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Abu visits his local hardware store to buy six light bulbs. He knows that 15% of all bulbs at this store are faulty. 15 (a) State a distribution which can be used ... show full transcript

Worked Solution & Example Answer:Abu visits his local hardware store to buy six light bulbs - AQA - A-Level Maths Mechanics - Question 15 - 2018 - Paper 3

Step 1

State a distribution which can be used to model the number of faulty bulbs he buys.

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Answer

The number of faulty bulbs can be modeled using a Binomial distribution. Specifically, it can be represented as B(6,0.15)B(6, 0.15), where 6 is the number of trials (bulbs) and 0.15 is the probability of success (finding a faulty bulb).

Step 2

Find the probability that all of the bulbs he buys are faulty.

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Answer

To find the probability that all 6 bulbs are faulty, we can use the binomial probability formula:

P(X = 6) = inom{n}{k} p^k (1-p)^{n-k}

Substituting in n=6n = 6, k=6k = 6, and p=0.15p = 0.15:

P(X = 6) = inom{6}{6} (0.15)^6 (0.85)^0 = 1 imes (0.15)^6 = 0.000113\approx 0.000114.

Step 3

Find the probability that at least two of the bulbs he buys are faulty.

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Answer

To find the probability that at least two bulbs are faulty, we can use the complement rule:

P(X2)=1P(X1).P(X \geq 2) = 1 - P(X \leq 1).

First, we find P(X1)P(X \leq 1):

P(X = 0) = inom{6}{0} (0.15)^0 (0.85)^6 = (0.85)^6 \approx 0.377149,

P(X = 1) = inom{6}{1} (0.15)^1 (0.85)^5 = 6(0.15)(0.85)^5 \approx 0.442760.

Now, summing these results:

P(X1)=P(X=0)+P(X=1)0.377149+0.4427600.819909.P(X \leq 1) = P(X = 0) + P(X = 1) \approx 0.377149 + 0.442760 \approx 0.819909.

Thus,

P(X2)=1P(X1)10.8199090.1800910.224.P(X \geq 2) = 1 - P(X \leq 1) \approx 1 - 0.819909 \approx 0.180091\approx 0.224.

Step 4

Find the mean of the distribution stated in part (a).

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Answer

The mean of a binomial distribution is calculated using the formula:

μ=n×p,\mu = n \times p,

where nn is the number of trials and pp is the probability of success. Therefore, for our distribution:

μ=6×0.15=0.9.\mu = 6 \times 0.15 = 0.9.

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