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The length of time, L hours, that a phone will work before it needs charging is normally distributed with a mean of 100 hours and a standard deviation of 15 hours - Edexcel - A-Level Maths Statistics - Question 4 - 2013 - Paper 1

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The length of time, L hours, that a phone will work before it needs charging is normally distributed with a mean of 100 hours and a standard deviation of 15 hours. ... show full transcript

Worked Solution & Example Answer:The length of time, L hours, that a phone will work before it needs charging is normally distributed with a mean of 100 hours and a standard deviation of 15 hours - Edexcel - A-Level Maths Statistics - Question 4 - 2013 - Paper 1

Step 1

Find P(L > 127)

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Answer

To find the probability P(L > 127), we first standardize the value of 127. Using the formula for standardization, we have:

Z=Lμσ=12710015=1.8Z = \frac{L - \mu}{\sigma} = \frac{127 - 100}{15} = 1.8

Then, we can find the probability:

P(L>127)=1P(Z<1.8)P(L > 127) = 1 - P(Z < 1.8)

Using Z-tables, we find that:

P(Z<1.8)0.9641P(Z < 1.8) \approx 0.9641

Thus,

P(L>127)10.9641=0.0359P(L > 127) \approx 1 - 0.9641 = 0.0359

Step 2

Find the value of d such that P(L < d) = 0.10

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Answer

To find the value of d for which P(L < d) = 0.10, we first need the Z-value that corresponds to this probability. From Z-tables, we find:

P(Z<d)Z1.2816P(Z < d) \Rightarrow Z \approx -1.2816

Now, we convert this Z-value back to L:

L=μ+Zσd=100+(1.2816)1580.76L = \mu + Z \cdot \sigma \Rightarrow d = 100 + (-1.2816) \cdot 15 \approx 80.76

Step 3

Find the probability that her phone will not need charging before her journey is completed

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Answer

Alice's journey lasts 6 hours, and she has already used the phone for 127 hours. Thus, the total time until the journey finishes is:

L<127+6=133L < 127 + 6 = 133

We find the probability:

P(L>133)=P(L<133)=1P(Z<2.2)P(L > 133) = P(L < 133) = 1 - P(Z < 2.2)

Standardizing again:

Z=13310015=2.2Z = \frac{133 - 100}{15} = 2.2

From Z-tables:

P(Z<2.2)0.9861P(Z < 2.2) \approx 0.9861

Thus:

P(L>133)10.9861=0.0139P(L > 133) \approx 1 - 0.9861 = 0.0139

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