JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD B.Tech II PROBABILITY AND STATISTICS Previous Question Paper (November/December - 2020 - R13)

B.Tech | II | II-II | R13 | November/December - 2020

Answer PaperPaper Code: 114DKMaximum Marks: 75Time: 2 hours

Answer any five questions. All questions carry equal marks.

Main

115 marks
a

Let X denote the minimum of the two numbers that appear when a pair of fair dice is thrown once. Determine the: i) Discrete probability distribution ii) Expectation iii) Variance.

7 marks

Answer

When two fair dice are thrown, there are 36 equally likely outcomes. Let X be the minimum of the two numbers. The distribution is:

x123456
P(X=x)11/369/367/365/363/361/36

ii) The expectation E(X) = Σ xP(x) = (1*11 + 2*9 + 3*7 + 4*5 + 5*3 + 6*1) / 36 = (11 + 18 + 21 + 20 + 15 + 6) / 36 = 91/36 ≈ 2.5278.

iii) The variance V(X) = E(X²) - [E(X)]². First, E(X²) = Σ x²P(x) = (1²*11 + 2²*9 + 3²*7 + 4²*5 + 5²*3 + 6²*1) / 36 = (11 + 36 + 63 + 80 + 75 + 36) / 36 = 301/36 ≈ 8.3611. Thus, V(X) = 301/36 - (91/36)² = (10836 - 8281) / 1296 = 2555 / 1296 ≈ 1.9715.

b

A random variable x has the following probability distribution:

X12345678
P(X=x)k2k3k4k5k6k7k8k

Find the value of: i) k ii) P(X < 2) iii) P(2 ≤ X ≤ 5).

8 marks

Answer

i) Since the sum of probabilities must be 1: k + 2k + 3k + 4k + 5k + 6k + 7k + 8k = 1, which simplifies to 36k = 1, so k = 1/36.

ii) P(X < 2) = P(X=1) = k = 1/36.

iii) P(2 ≤ X ≤ 5) = P(X=2) + P(X=3) + P(X=4) + P(X=5) = 2k + 3k + 4k + 5k = 14k = 14/36 = 7/18.

2

Calculate the rank correlation coefficient for the following data:

X6566676768697072
Y6768656872726971
15 marks

Answer

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3

A marketing professor at a given college is interested in the relationship between hours spent studying and total points earned in a course. Data collected from 10 students who took the course last quarter follow:

Hours Spent Studying453090601056590805575
Total Points Earned40357565905090804565
15 marks
a

Develop an estimated regression equation showing how total points earned is related to hours spent studying.

8 marks

Answer

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b

Predict total points earned when the student spent 95 hours studying.

7 marks

Answer

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4

Population consists of five numbers 5, 10, 14, 18, 13 and 24. Consider all possible samples of size two which can be drawn without replacement from the population, then find:

15 marks
a

The mean of the population

4 marks

Answer

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b

The variance of the population

4 marks

Answer

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c

The mean of the sampling distribution of means

4 marks

Answer

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d

The standard deviation of the sampling distribution of means.

3 marks

Answer

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5

A dice is thrown 150 times with the following results:

Results (turned up)123456
Frequency192328173231

Test the hypothesis that the dice is unbiased or not.

15 marks

Answer

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6

Customers arrive at an automated coffee-vending machine at a rate of four per minute; following a Poisson distribution. The coffee machine dispenses cups of coffee at a constant time of 10 seconds.

15 marks
a

What is the average number of people waiting in line?

4 marks

Answer

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b

What is the average number in the system?

4 marks

Answer

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c

How long does the average person wait in line before receiving service?

4 marks

Answer

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d

Calculate traffic intensity.

3 marks

Answer

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7

Barber A takes 15 minutes to complete one hair cut. Customers arrive in his shop at an average rate of one every 30 minutes. Barber B takes 25 minutes to complete one hair cut and customers arrive at his shop at an average rate of one every 50 minutes. The arrival processes are Poisson and the service times follow an exponential distribution.

15 marks
a

Where would you expect a bigger queue

7 marks

Answer

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b

Where would you require more time waiting included to complete a haircut.

8 marks

Answer

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8

A city is divided into three zones I, II, and III. From the records of drivers the following information is available. Out of passengers picked up in zone I, (II) (III) 40 percent, (30 percent) (30 percent) go to a destination in zone I, 40 percent (40 percent) (50 percent) are taken in zone II, 20 percent (30 percent) (20 percent) go to a destination in zone III. Suppose in the beginning of the day 30 percent of taxis are in zone I, 30 percent is in zone II and 40 percent is in zone III. What is the distribution of taxis after all have had one ride, two rides? Also determine the long run distribution of taxis.

15 marks

Answer

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About this paper

This page contains the solved question paper with answers of PROBABILITY AND STATISTICS from JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD for B.Tech CE II II-II, November/December - 2020, R13.

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