A tyre manufacturing company kept a record of the distance covered before a tyre to be replaced. Following table shows the results of 1000 cases. `D i s t a n c e\ in\ k m :` `L e s s\ t h a n\ 400` `400\ to\ 900` `900\ to\ 1400` `Mor e\ t h a n\ 1400` `Nodot\ of\ t y r e s :` `210` `325` `385` `80` If you buy a tyre of this company, what is the probability that: it will need to be replaced before it has covered 400 km? it will last more than 900 km? it will need to be replaced after it has covered somewhere between 400km and 1400 km? it will not need to be replaced at all it will need to be replaced?

Explanation

Total outcomes=`1000`
(i)P(that tyre is to be replaced before it has covered 400 km)=`20\1000=0.02`
(ii)P(that tyre is replaced after 900 km)=`(325+455)\1000=770/1000=0.77`
(iii)P(that tyre is replaced after it has covered somewhere between 400km and 1400 km)=`(325+210+)\1000=535/1000=0.535`