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9.04 Applications of general continuous random variables

Interactive practice questions

The time $t$t, in hours, that an owl spends hunting each night can be modelled by a continuous random variable with probability density function given below.

$f\left(t\right)$f(t) $=$= $\frac{k}{32}t\left(4-t\right)$k32t(4t), $0\le t\le4$0t4
$0$0 otherwise
 
a

Determine the value of $k$k.

b

Calculate the probability the owl spends more than $3$3 hours hunting during one night.

c

Calculate the expected time the owl spends hunting in hours.

d

Calculate the standard deviation of the time the owl spends hunting in hours.

Round your answer to two decimal places.

Medium
4min

Noah always arrives at school between $7.50$7.50 AM and $8.55$8.55 AM. The probability distribution function which models the time at which Noah arrives at school is graphed below, where $t$t is the time in minutes after $7.50$7.50 AM.

Medium
20min

The amount of coffee used by a café each week is modelled by a continuous random variable $X$X with a mean of $14.5$14.5 kg and a standard deviation of $1.5$1.5 kg. If the coffee costs $C=24X+15$C=24X+15 in dollars (due to cost per kg and weekly delivery fee), find:

Easy
2min

A written French examination is worth a total of $180$180 marks. The results of the examination can be modelled by a continuous random variable $X$X where the expected value $E\left(X\right)$E(X) is $117$117 and the variance $V\left(X\right)$V(X) is $15$15.

Medium
4min
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Outcomes

4.3.2.2

identify contexts suitable for modelling by binomial random variables

4.3.2.3

determine and use the probabilities 𝑃(𝑋=𝑟) = {nr} 𝑝^𝑟(1 − 𝑝)^(n-r) associated with the binomial distribution with parameters 𝑛 and p

4.4.1.3

calculate the expected value, variance and standard deviation of a continuous random variable in simple cases

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