Courses
Courses for Kids
Free study material
Free LIVE classes
More

# The distance $({\text{in }}km)$ of $40$ engineers from their residence to their workplace were found as follows:$\begin{array}{*{20}{c}} 5&3&{10}&{20}&{25}&{11}&{13}&7&{12}&{31} \\ {19}&{10}&{12}&{17}&{18}&{11}&{32}&{17}&{16}&2 \\ 7&9&7&8&3&5&{12}&{15}&{18}&3 \\ {12}&{14}&2&9&6&{15}&{15}&7&6&{12} \end{array}$What is the empirical probability that an engineer lives:i) Less than $7{\text{ }}km$ from her place of work?ii) More than or equal to $7{\text{ }}km$ from her place of work?iii) Within $\dfrac{1}{2}{\text{ }}km$ from her place of work?

Last updated date: 18th Mar 2023
Total views: 304.5k
Views today: 6.84k
Verified
304.5k+ views
Hint: Here empirical probability of an event is the ratio of the number of outcomes in which a specified event occurs to the total number of trails, not in a theoretical sample space but in an actual experiment.

Given that total number of engineers $= 40$
From the above data it is clear that,
Number of engineers who live at a distance of less than $7{\text{ }}km$ from their place of work $= 9$
Number of engineers who live at a distance which is more than or equal to $7{\text{ }}km$ from their place of work $= 40 - 9 = 31$
Number of engineers living within $\dfrac{1}{2}{\text{ }}km$ from their place of work $= 0$
$P({\text{engineer lives less than }}7km{\text{ from her place of work) = }}\dfrac{{{\text{number of engineers living less than }}7km{\text{ from their place of work}}}}{{{\text{total number of engineers}}}} \\ {\text{ = }}\dfrac{9}{{40}} \\$

$P({\text{engineer lives more than or equal }}7km{\text{ from her place of work) = }}\dfrac{{{\text{number of engineers living more than or equal to }}7km{\text{ from their place of work}}}}{{{\text{total number of engineers}}}} \\ {\text{ = }}\dfrac{{31}}{{40}} \\$

$P({\text{engineer lives less than }}\dfrac{1}{2}km{\text{ from her place of work) = }}\dfrac{{{\text{number of engineers living less than to }}\dfrac{1}{2}km{\text{ from their place of work}}}}{{{\text{total number of engineers}}}} \\ {\text{ = }}\dfrac{0}{{40}} \\ \\ {\text{ = 0}} \\$

Hence the empirical probability that an engineer lives
i) Less than $7{\text{ }}km$ from her place of work $= \dfrac{9}{{40}}$
ii) More than or equal to $7{\text{ }}km$ from her place of work $= \dfrac{{31}}{{40}}$
iii) Within $\dfrac{1}{2}{\text{ }}km$ from her place of work $= 0$

Note: The probability of an event $E$ always obeys the condition $0 \leqslant P(E) \leqslant 1$. And also, the total number of outcomes in an event is always less than the total number of outcomes is the sample space.