Find the probability of a household earning Rs 25000 and more per year and owning 2 televisions.

0.1

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0.19

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Solution

The correct option is C 0.19
No. of family owing 2 television sets is $760$
Total no. of households is $4000$ .
The probability of given event is $\frac{760}{4000} = 0.19$

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Q. Question 16
A company selected 4000 households at random and surveyed them to find out a relationship between income level and the number of television sets in a home. The information, so obtained is listed in the following table.

Find the probability:
(i) Of a household earning Rs.10000 - Rs.14999 per year and having exactly one television.

(ii) Of a household earning Rs.25000 and more per year owning 2 televisions.

(iii) Of a household not having any television.

A company selected $4000$ households at random and surveyed them to find out a relationship between income level and the number of television sets in a home. The information, so obtained is listed in the following table.

Find the probability:
(i) Of a household earning $R s . 10000 - R s . 14999$ per year and having exactly one television.

(ii) Of a household earning $R s . 25000$ and more per year owning $2$ televisions.

(iii) Of a household not having any television.

Q. of a household earning Rs 10000 - Rs 14999 per year and having exactly one television.

An organisation selected 2400 families at random and surveyed them to determine a relationship between the income level and the number of vehicles in a family. The information gathered is listed in the table below:

Suppose a family is chosen at random. Find the probability that the family chosen is

(i) earning Rs 25000 - Rs 30000 per month and owning exactly 2 vehicles.

(ii) earning Rs 40000 or more per month and owning exactly 1 vehicle.

(iii) earning less than Rs 25000 per month and not owning any vehicle.

(iv) earning Rs 35000 - Rs 40000 per month and owning 2 or more vehicles.

(v) owning not more than 1 vehicle.

Q. An organisation selected 2400 families at random and surveyed them to determine a relationship between the income level and the number of vehicles in a family. The information gathered is listed in the table below:

Monthly income (in ₹)	Number of vehicles per family
Monthly income (in ₹)	0	1	2	3 or more
Less than ₹ 25000	10	160	25	0
₹ 25000 – ₹ 30000	0	305	27	2
₹ 30000 – ₹ 35000	1	535	29	1
₹ 35000 – ₹ 40000	2	469	59	25
₹ 40000 or more	1	579	82	88

Suppose a family is chosen at random. Find the probability that the family chosen is
(i) earning ₹ 25000 – ₹ 30000 per month and owning exactly 2 vehicles.
(ii) earning ₹ 40000 or more per month and owning exactly 1 vehicle.
(iii) earning less than ₹ 25000 per month and not owning any vehicle.
(iv) earning ₹ 35000 – ₹ 40000 per month and owning 2 or more vehicles.
(v) owning not more than 1 vehicle.

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Find the probability of a household earning Rs 25000 and more per year and owning 2 televisions.

The correct option is C 0.19No. of family owing 2 television sets is 760Total no. of households is 4000.The probability of given event is 7604000=0.19

The correct option is C 0.19
No. of family owing 2 television sets is $760$
Total no. of households is $4000$ .
The probability of given event is $\frac{760}{4000} = 0.19$