Download JNTUH MCA 1st Year R19 2020 January 861AD Computer Oriented Statistical Methods Question Paper

Download JNTUH (Jawaharlal nehru technological university) MCA (Master of Computer Applications) 1st Year (First Year) Regulation-R19 2020 January 861AD Computer Oriented Statistical Methods Previous Question Paper





R19

Code No: 861AD













JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

MCA I Semester Examinations, January - 2020

COMPUTER ORIENTED STATISTICAL METHODS

S

Time: 3hrs













Max.Marks:75

Note: This question paper contains two parts A and B.

Part A is compulsory which carries 25 marks. Answer all questions in Part A. Part B
consists of 5 Units. Answer any one full question from each unit. Each question carries
10 marks and may have a, b, c as sub questions.



PART - A

















5 ?5 Marks = 25



1.a) i) An urn contains 5 red balls and 2 green balls. Two balls are drawn one after the other.

What is the probability that the second ball is red?







ii) In screening for a certain disease, the probability that a healthy person wrongly gets a
positive result is 0.05. The probability that a diseased person wrongly gets a negative
result is 0.002. The overall rate of the disease in the population being screened is 1%. If
my test gives a positive result, what is the probability I actually have the disease? [2+3]

b) Derive mean and variance for a poison distribution.







[5]



c) The marks obtained in statistics in a certain examination found to be normally distributed.

If 5% of the students 60 marks, 40% < 30 marks. Find the mean and standard
deviation.



















[5]

d) A sample of size 100 is taken whose standard derivation is 10 and the mean is 80.

Find 99% confidence interval.













[5]

e) If the two regression lines are y = 0.4x + 10.21 and x = 102y ? 17.3. Find

i) the coefficient of correlation



ii) the means of x and y.



[5]



PART - B

















5 ? 10 Marks = 50



2.a)

A manufacturer claims that its drug test will detect steroid use (that is, show positive for
an athlete who uses steroids) 95% of the time. Further, 15% of all steroid-free individuals
also test positive. 10% of the rugby team members use steroids. Your friend on the rugby
team has just tested positive. What is the probability that he uses steroids?





b)

An aircraft emergency locator transmitter (ELT) is a device designed to transmit a signal
in the case of a crash. The Altigauge Manufacturing Company makes 80% of the ELTs,
the Bryant Company makes 15% of them, and the Chartair Company makes the other
5%. The ELTs made by Altigauge have a 4% rate of defects, the Bryant ELTs have a 6%
rate of defects, and the Chartair ELTs have a 9% rate of defects
(i) If an ELT is randomly selected from the general population of all ELTs, find the
probability that it was made by the Altigauge Manufacturing Company.
(ii) If a randomly selected ELT is then tested and is found to be defective, find the
probability that it was made by the Altigauge Manufacturing Company.

[5+5]

OR




3.a)

A random variable X has the density function

f(x) = c /(x2 + 1), where - < x <

i) Find the value of the constant c. (ii) Find the probability that X lies between 1/3 and 1.

b)

Suppose the random variables X and Y have the joint density function defined by





f x y

c 2x y, 2 x 6, 0 y 5

,





0,

otherwise

SThen find i) c

ii) Marginal density of X and Y
iii) Conditional density function of Y given X = 2.





[5+5]


4.a)

A coin is tossed until a head appears. What is the expectation of number of tosses?



b)

Suppose that X assumes that values 1 and -1, each with probability 0.5. Find and
compare the lower bound on P [-1 < X <1] given by Chebyshev's inequality and the
actual probability that -1 < X < 1.











[5+5]

OR

5.a)

Bob is a high school basketball player. He is a 70% free throw shooter. That means his
probability of making a free throw is 0.70. During the season, what is the probability that
Bob makes his third free throw on his fifth shot?











b)

Determine the variance of the geometric distribution whose probability function is
P(X=k) = qk-1p

















[5+5]


6.a)

Define Gamma, Beta and Lognormal distributions.





b)

Problem: The annual maximum runoff Y of a certain river can be modeled by a
lognormal distribution. Suppose that the observed mean and standard deviation of Y are
300 cfs and 200 cfs. Determine the probability P(Y > 400 cfs).





[5+5]

OR

7.

A population consists of six numbers 4, 8, 12, 16, 20, 24, consider all samples of size two
which can be drawn without replacement from this population. Find



a)

The population mean



b)

The population standard deviation.



c)

The mean of the sampling distribution of means

d)

The standard deviation of the sampling distribution of means verify and, (c) and
(d) from (a) and (b) by one of suitable formula.







[10]





8.a)

The times of 8 runners in a randomly selected heat of the 100 m sprint in the Olympic
Games had a mean time of 9.84 s and a standard deviation of 0.08 s. Calculate (correct to
two decimal places) 99.9% confidence limits for the mean time of all the 100m runners at
the Olympic Games.







b)

Find the 99% tolerance limits that will contain 95% of the metal pieces produced by the
machine, given a sample mean diameter of 1.0056 cm and a sample standard deviation of
0.0246.



















[5+5]

OR

9.a)

It is believed that the average level of prothrombin in a normal population is
20 mg/100 ml of blood plasma with a standard deviation of 4 milligrams/100 ml. To
verify this, a sample is taken from 40 individuals in whom the average is 18.5 mg/100 ml.
Can the hypothesis be accepted with a significance level of 5%?

b)

A personal manager claims that 80 percent of all single women hired for secretarial job
get married and quit work within two years after they are hired. Test this hypothesis at
5% level of significance if among 200 such secretaries, 112 got married within two years
after they were hired and quit their jobs.











[5+5]




10.a) The sales of a company (in million dollars) for each year are shown in the table below.

x (year)

2015

2016

2017

2018

2019

y (sales)

12

19

29

37

45

i) Find the linear regression y = ax+b

Sii) Use the least squares regression line as a model to estimate the sales of the company in

2022.

















b)

If is the angle between two regression lines and S.D. of Y is twice the S.D. of X and
r = 0.25, find Tan.















[5+5]

OR

11.a) The tangent of the angle between two regression lines is 0.6 and if x = (?)y. Find the

correlation coefficient between x and y.









b) Fit an exponential curve of the form y = aebx for the following data



[5+5]













X

10

15

13

10

23

27



Y

14

12

15

15

20

30




---ooOoo---



This post was last modified on 16 March 2023