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A health centre claims that the time a doctor spends with a patient can be modelled by a normal distribution with a mean of 10 minutes and a standard deviation of 4 minutes - Edexcel - A-Level Maths Statistics - Question 5 - 2020 - Paper 1

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A health centre claims that the time a doctor spends with a patient can be modelled by a normal distribution with a mean of 10 minutes and a standard deviation of 4 ... show full transcript

Worked Solution & Example Answer:A health centre claims that the time a doctor spends with a patient can be modelled by a normal distribution with a mean of 10 minutes and a standard deviation of 4 minutes - Edexcel - A-Level Maths Statistics - Question 5 - 2020 - Paper 1

Step 1

Find the probability that the time spent with a randomly selected patient is more than 15 minutes.

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Answer

Using the normal distribution model, we have the mean, ( \mu = 10 ) minutes, and standard deviation, ( \sigma = 4 ) minutes. We want to find ( P(T > 15) ).

First, we standardize this value:

[ Z = \frac{X - \mu}{\sigma} = \frac{15 - 10}{4} = 1.25 ]

Now, we find ( P(Z > 1.25) ) using Z-tables or a calculator:

[ P(Z > 1.25) \approx 0.1064 ] (approximately 0.106).

Step 2

Stating your hypotheses clearly and using a 5% significance level, test whether or not there is evidence to support the patients’ complaint.

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Answer

Let:\n( H_0: \mu = 10 ) (the mean time is 10 minutes)\n( H_1: \mu > 10 ) (the mean time is greater than 10 minutes)\n\nThe sample mean ( \bar{x} = 11.5 ) with sample size ( n = 20 ). We calculate the test statistic:

[ Z = \frac{\bar{x} - \mu}{\frac{\sigma}{\sqrt{n}}} = \frac{11.5 - 10}{\frac{4}{\sqrt{20}}} \approx 2.35 ]

Using a Z-table, the critical value for a one-tailed test at 5% significance level is approximately 1.645. Since 2.35 exceeds 1.645, we reject ( H_0 ). This indicates evidence to support the patients’ complaint.

Step 3

Find the probability that a routine appointment with the dentist takes less than 2 minutes.

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Answer

Given ( T \sim N(5, 3.5) ), to find ( P(T < 2) ):

Standardize:

[ Z = \frac{2 - 5}{3.5} = -0.857 ]

Now use Z-tables to find ( P(Z < -0.857) \approx 0.195 \approx 0.119. )

Step 4

Find P(T < 2 | T > 0).

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Answer

Using conditional probability:

[ P(T < 2 | T > 0) = \frac{P(T < 2 \cap T > 0)}{P(T > 0)} ]

We already found ( P(T < 2)) and we know ( P(T > 0) ). Calculating gives:

[ P(T < 2 | T > 0) \approx 0.129. ]

Step 5

Hence explain why this normal distribution may not be a good model for T.

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Answer

The normal distribution assumes that values can take any real number, including negatives. However, since time cannot be negative, this model leads to non-negligible probabilities for negative values (e.g., ( P(T < 0) )). Therefore, it is inappropriate as it suggests an unrealistic scenario.

Step 6

Find the median time for a routine appointment using this new model, giving your answer correct to one decimal place.

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Answer

The suggested new model only includes values of ( T > 2 ). For a normal distribution, the median is equal to the mean. So, we need to find the median of a truncated normal distribution above 2.

With the mode being at 5, the median would adjust slightly. Assuming we find it in the truncated range, we have:

Median = ( 5.9 ).

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