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Abu visits his local hardware store to buy six light bulbs - AQA - A-Level Maths Pure - 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 Pure - 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 he buys can be modeled using a binomial distribution. Specifically, the distribution can be denoted as B(n, p), where n is the number of trials (which is 6, the number of bulbs he buys) and p is the probability of success (15%, or 0.15, the probability that a bulb is faulty). Thus, we model this with B(6, 0.15).

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 six bulbs are faulty, we use the binomial probability formula:

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

Substituting for 6 faulty bulbs: P(X = 6) = inom{6}{6} (0.15)^6 (0.85)^{0} = 1 imes (0.15)^6 imes 1 = 0.0001134. Therefore, the probability is approximately 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 complementary approach: P(Xextatleast2)=1P(X<2)=1(P(X=0)+P(X=1))P(X ext{ at least } 2) = 1 - P(X < 2) = 1 - (P(X = 0) + P(X = 1)).

Calculating:

  • For no faulty bulbs: P(X = 0) = inom{6}{0} (0.15)^0 (0.85)^6 = 1 imes 1 imes (0.85)^6 = 0.5277.
  • For one faulty bulb: P(X = 1) = inom{6}{1} (0.15)^1 (0.85)^5 = 6 imes (0.15) imes (0.85)^5 = 0.3861.

Then, P(X<2)=P(X=0)+P(X=1)=0.5277+0.3861=0.9138P(X < 2) = P(X = 0) + P(X = 1) = 0.5277 + 0.3861 = 0.9138.

So, P(Xextatleast2)=10.9138=0.0862.P(X ext{ at least } 2) = 1 - 0.9138 = 0.0862.

Step 4

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

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Answer

The mean of a binomial distribution can be found using the formula: extMean=nimesp ext{Mean} = n imes p Where n is the number of trials (6) and p is the probability of success (0.15).

Thus, the mean is: extMean=6imes0.15=0.9 ext{Mean} = 6 imes 0.15 = 0.9.

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