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The normal distribution: Finding probabilities

The normal distribution: Finding probabilities

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Summary

Finding probabilities for normal distributions

​​In a nutshell

Probabilities for a normal distribution are given by the area under a normal distribution curve. It is not easy to integrate to find the area under the curve, so you can usually find the areas (or probabilities) using the normal distribution function on a calculator.



Find probabilities using a calculator

Go to the normal distribution function in your calculator to enter the required information to find probabilities. Enter the mean μ\mu and standard deviation σ\sigma as well as the upper and lower limits for the area required.


Maths; Normal distribution; KS5 Year 13; The normal distribution: Finding probabilities

calculator tip

  Menu7:Distribution2:Normal CDLower:Upper:σ:μ:\boxed{\begin{aligned} & \ \ Menu\\7&: Distribution\\2&: Normal \ CD\\Lower&:\\Upper&:\\ \sigma&:\\ \mu&: \end{aligned}}​​

The "upper" and "lower" corresponds to the upper and lower bounds of the cumulative probability. When asked to find a "one-tailed" probability (i.e. P(Xa)P(X\le a) or P(X>a)P(X \gt a)​), input an extreme value into the corresponding tail.


Example 1

The random variable XXfollows a normal distribution with mean 2020and variance 2.52.5. ​Find the following probabilities:

i) P(18X<24)P(18 \leq X \lt 24)

ii) P(X<21)P(X\lt 21)


Part i):


Maths; Normal distribution; KS5 Year 13; The normal distribution: Finding probabilities



  Menu7:Distribution2:Normal CDLower:18Upper:24σ:2.5μ:20\boxed{\begin{aligned} & \ \ Menu\\7&: Distribution\\2&: Normal \ CD\\Lower&:18\\Upper&:24\\ \sigma&:\sqrt{2.5}\\ \mu&:20 \end{aligned}}​​

p=                   0.8913\boxed{ p = \ \ \ \ \ \ \ \ \ \ \ \ \ \ \\ \ \ \ \ \ 0.8913}​​


P(18X24)=0.8913P(18 \leq X \leq 24) = \underline{0.8913}


Note: Remember to square root the variance to find the standard deviation.


Part ii):


Maths; Normal distribution; KS5 Year 13; The normal distribution: Finding probabilities



  Menu7:Distribution2:Normal CDLower:999999999Upper:21σ:2.5μ:20\boxed{\begin{aligned} & \ \ Menu\\7&: Distribution\\2&: Normal \ CD\\Lower&:-999999999\\Upper&:21\\ \sigma&:\sqrt{2.5}\\ \mu&:20 \end{aligned}}​​

p=                   0.7365\boxed{ p = \ \ \ \ \ \ \ \ \ \ \ \ \ \ \\ \ \ \ \ \ 0.7365}​​


P(X<21)=0.7365P(X \lt 21) = \underline{0.7365}​​


Example 2

The heights of people in a group (HH) in centimetres has distribution HN(175,49)H \sim N(175,49).

i) Find the probability that a person selected at random is taller than 1.82m1.82m.

ii) A random person from the group is selected and their height is noted. This process happens 66 times. What is the probability that the person chosen is taller than 1.82m1.82m​ least twice?


Part i):


Maths; Normal distribution; KS5 Year 13; The normal distribution: Finding probabilities



  Menu7:Distribution2:Normal CDLower:182Upper:99999999999σ:7μ:175\boxed{\begin{aligned} & \ \ Menu\\7&: Distribution\\2&: Normal \ CD\\Lower&:182\\Upper&:99999999999\\ \sigma&:7\\ \mu&:175 \end{aligned}}​​

p=                   0.1587\boxed{ p = \ \ \ \ \ \ \ \ \ \ \ \ \ \ \\ \ \ \ \ \ 0.1587}​​


P(H>1.82m)=P(H>182cm)=0.1587P(H \gt 1.82m) = P(H \gt 182cm) = \underline{0.1587}​​


Part ii):

Let XX be the event that the person chosen is taller than 1.82m1.82m. There are 66 trials, and two outcomes (either taller than or shorter than 1.82m1.82m). XX can therefore be modelled by a binomial distribution, as:

XB(6,0.1587)X \sim B(6,0.1587)​​


Using the binomial distribution function on a calculator, the desired probability is:

P(X2)=1P(X1)=10.75588...=0.2441 (4 d.p.)\begin{aligned}P(X \ge 2 )&= 1 - P(X \le1)\\&= 1-0.75588... \\&= 0.2441 \ (4 \ d.p.) \end{aligned}​​


P(X2)=0.2441P(X \geq 2 ) = \underline{0.2441}​​


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FAQs - Frequently Asked Questions

How do you find probabilities of the form P(X < a) and P(X > a) for a normal distribution?

How do you find probabilities from a normal distribution?

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