Conditional Probability and the Normal Distribution

Neil Trivedi

Teacher

Neil Trivedi

Conditional Probability and the Normal Distribution

Example 1:

The time, in minutes, for New Yorkers to get into work is modelled by a normal distribution with mean minutes and standard deviation minutes.

a) Find the proportion of New Yorkers that take longer than hour to get to work.

Single Step: By letting , find the probability that is larger than (equivalent to hour).

A normal distribution curve is shown with the right-hand tail shaded to represent 𝑃(𝑋>60), with 60 marked on the axis and a labelled distance of 11 from the mean to 60.

Using our calculator, going to Normal CD and setting , , lower bound , and the upper bound to be any large number, we find:

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Dave bought a moped so he can whiz around New York traffic in hopes to reduce his travel time. He aims to get to work in a time that is within the shortest of commuters.

b) Estimate the longest time Dave should take to get to work.

Single Step: Find the percentile using the inverse normal function in your calculator.

A normal distribution curve is shown with a shaded left-hand region labelled “Area = 0.3”, marking the cutoff value 𝑎, and a horizontal arrow labelled 11 indicating a distance from the mean to a point on the curve.

We know that the percentile is the point where .

Then we can input that into the calculator, using the inverse normal function this time, with
area , 𝜇 = 57, and to get to significant figures.

Therefore, Dave should aim to get to work within minutes.


The time, minutes, by commuters from Los Angeles to commute to work is modelled by a normal distribution with mean minutes and standard deviation minutes.

Given that ,

c) Find .

Single Step: First, apply the formula of conditional probability and then draw a diagram(s) so we can observe which probabilities we are interested in. For these questions, symmetry is everything.

We know that . We can think of a number line to see that both events are the same.

Number line showing two left-pointing arrows, one from 𝜇 and a shorter one from 𝜇−6, illustrating a shift of 6 units from the mean.

Since the interval lies entirely within , the intersection of the two events is simply .

Two normal distribution curves illustrate shaded tail probabilities 𝑃(𝑌<𝜇−6) and 𝑃(𝑌>𝜇+6), and a second diagram highlights the cumulative area 𝑃(𝑌<𝜇) with the section between 𝜇−6 and 𝜇 shaded to compare probabilities relative to the mean.

is the mean, so we know from the properties of normal distribution that .

Since is normally distributed with mean , the distribution is symmetric about . Therefore, by the symmetric property of the normal distribution, if then

Combining all the information, we can calculate

No answer provided.

Example 2:

Dom is making homework for MyEdSpace. The time, minutes, it takes him to make a homework is normally distributed with mean minutes and standard deviation minutes.

a) Find the probability that Dom takes longer than minutes to make a homework.

Single Step: By letting , find the probability that is larger than .

A normal distribution curve shows the right-hand tail shaded to represent 𝑃(𝑇>45), with 45 marked as 9 units to the right of the mean.

Using our calculator, going to Normal CD and setting , , lower bound , and the upper bound to be any large number, we find:

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Neil is surprised by how quick Dom is and wants to check if he is making homework properly. They investigate all homework that took him less than minutes to make.

b) A randomly selected homework took Dom less than minutes to make, find the probability that Dom took less than minutes to make this homework.

Single Step: Find the probability of given .

Like part c) in the previous example, if we were to draw a number line, we can see that
is equal to .

Number line showing two left-pointing rays with open circles at 21 (red) and 25 (blue), representing the inequalities 𝑥<21 and 𝑥<25.

Here is a normal distribution curve with the areas representing and .

Normal distribution curve showing the cumulative probabilities 𝑃(𝑇<21) and 𝑃(𝑇<25) shaded to the left of 21 and 25, with the mean shifted 9 units to the right.

Using our calculator to find both and , we would set the upper bounds to be
and , respectively, and the lower bound to be an appropriately small number like . We find that their respective probabilities are:

Now, applying the conditional probability formula,

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Neil can identify in advance, all the homework that take Dom less than minutes to make and will assign them to somebody else.

c) Estimate the median time taken by Dom to analyse samples in the future.

Single Step: Break down the conditional probability to find the median.

Let be the median time of the sample, excluding those that took less than minutes. This is a conditional probability given the time taken for all of our new samples is greater than minutes. We know that the median represents the middle, or the top/bottom of values. So, our situation now is “Given , what is the value of 𝑚 such that is equal to ?“

We could have chosen , but it is easier to have the inequalities facing the same direction. So, our probability statement looks like this now:

We will now use our conditional probability formula to figure out what our new median is.

From part b), we found that and so,

Substituting that back into our equation we have,

Multiplying through by our denominator of we are left with,



Again, thinking about our number line, is just because .

Number line showing two right-pointing rays starting at 25 (blue) and 𝑚 (orange), indicating values greater than each marked point.

Therefore,

Here’s a diagram illustrating the area representing .

Normal distribution curve with mean 25 and standard deviation 9, showing the shaded right-tail area 𝑃(𝑇>𝑚)=0.4333… beyond the value 𝑚.

Note: Previously, the median would have equalled as well due to symmetry, but since we are getting rid of those smaller values below , the median has increased.

Now to find , we need to use the inverse normal function on our calculator, but first, it needs to be a cumulative statement.

If , then

Now, we can input our area , and to find that to 3 significant figures.

No answer provided.

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