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Cumulative probabilities

Cumulative probabilities

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Summary

Cumulative probabilities 

​​In a nutshell

Cumulative probabilties for the binomial distribution are probabilities that satisfy a specific inequality.


Definition

The cumulative probability is the probability P(Xx)P(X \le x)​. It counts all of the probabilities up to and including the specific output xx​.


Recall: the binomial distribution

The binomial distribution is represented as:


XB(n,p)X \backsim B(n,p)​​

XX​​

A random variable which follows a binomial distribution.

BB​​

The binomial distribution.

nn​​

The total number of trials.

pp​​

The probability of success.



Finding the cumulative probability for the binomial distribution 

While it is possible to find cumulative binomial probabilities using a table, it is much easier to use a calculator.


Maths; Binomial distribution; KS5 Year 12; Cumulative probabilities

calculator tip

Binomial cdData:variablex:N:p:\boxed{\begin{aligned}Binomial\space cd\\Data&: variable\\x&:\\N&:\\p&:\end{aligned}}​​


Note: Make sure to select the correct distribution! If you select binomial pd, you will get P(X=x)P(X=x) and not P(Xx)P(X \le x).


Example 1

If XB(10,0.4)X \sim B(10,0.4)​, find the values of:

i) P(X5)P(X \leq 5)

ii) P(X<5)P(X< 5)

iii) P(X>5)P(X>5)

iv) P(X5)P(X \ge 5)


i) Simply use the binomial cd function on your calculator with N=10,p=0.4,x=5N=10,p=0.4,x=5:

P(X5)=0.8338\underline{P(X \leq 5 )=0.8338}​​


ii) To use the binomial cd function, the inequality has to be in the form P(Xx)P(X\le x). Note that since the outputs are integers, X<5X<5 is the same as X4X\leq 4. Hence:

P(X<5)=P(X4)=0.6331\underline{P(X<5)=P(X\leq4)=0.6331}​​


iii) Use the fact that probabilities add up to 11:

P(X5)+P(X>5)=1P(X>5)=1P(X5)=10.8338=0.1662P(X\leq5)+P(X>5)=1\\\begin{aligned}P(X>5)&=1-P(X\leq5)\\&=1-0.8338\\&=0.1662\end{aligned}​​


P(X>5)=0.1662\underline{P(X >5)=0.1662}​​


iv) Again, use the fact that probabilities add up to 11, and that X<5X<5 is the same as X4X\leq4:

P(X<5)+P(X5)=1P(X5)=1P(X<5)=1P(X4)=10.6331=0.3669P(X<5)+P(X\geq5)=1\\\begin{aligned}P(X\geq 5)&=1-P(X<5)\\&=1-P(X\le 4)\\&=1-0.6331\\&=0.3669\end{aligned}​​


P(X5)=0.3669\underline{P(X\ge5)=0.3669}​​



Questions in context

You may be asked to find cumulative probabilities for contextual events. To do this, you need to be able to recognise certain phrases and relate them with the corresponding cumulative probability.


Example 2

A biased coin has a 70%70\% chance of turning up heads. If the coin is flipped 88 times, what is the probability that:

i) The coin turns up heads no more than 33 times.

ii) The coin turns up heads at least 55 times.


First, define the random variable and identify the correct distribution.

Let XX be the number of times the coin turns up heads.

XB(8,0.7)X\sim B(8,0.7)​​


i) Associate the phrase "no more than 33​" with an inequality.

"No more than 33" is the same as X3X\leq3.


P(X3)=0.0580\underline{P(X\leq 3)=0.0580}​​


ii) Associate the phrase "at least 55" with an inequality. 

"At least 55" is the same as X5X \ge5.


P(X5)=1P(X<5)=1P(X4)=10.1941=0.8059\begin{aligned}P(X\geq5)&=1-P(X<5)\\&=1-P(X\leq4)\\&=1-0.1941\\&=0.8059\end{aligned}​​


P(X5)=0.8059\underline{P(X\geq 5)=0.8059}​​

 


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