BCA 3rd Semester

Probability and Statistics 2021 Board Question Paper

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Tribhuvan university

Bachelor In Computer Application

Course Title:Probability and Statistics

Code No:

Semester:III

2021

Full Marks:60 Pass Marks:24 Time:3 hours

Candidates are required to answer the question in their own words as far as possible.

Group B
Attempt any SIX question.
[6x5=30]
11.

Discuss the role of statistics in computer application.

12.

The following table shows the monthly salary of employees in a certain locality of Lalitpur Sub-metropolitan City:

Salary (000)0-1010-2020-3030-4040-5050-6060-70
No of employees15222835242016

13.

Define the term correlation. Compute Karl Pearson's coefficient of correlation between advertisement cost and sales as per the data given below:

Advertising Cost(000)396562908275259836
Sales costs(000)475358866268609195

14.

The following table gives the age of the computers of a certain company and annual maintenance costs:

Age of computers (yrs)246810
Maintainance cost (00)1015223246
Obtain the regression equation of maintenance cost on age of computer. Also, estimate the cost of maintenance for a 10 years old computer.

15.

Fit a Poisson distribution of the following data and calculate the expected frequencies:

X012345678
f56156132923722401

16.

Determine First Quartile (Q₁), D7 and P₈₀ (80th percentile) from the following data:

Age in years10-2020-3030-4040-5050-6060-7070-8080-90
No of peoples1011273529171110

17.

A box contains 30 items of which 10 are defectives. If two items are selected randomly from the box without replacement, what is the probability that
(a) Both are defective
(b) Both are non-defective

Group C

Attempt any TWO questions

[2x10=20]
18.

The following data represents the scores made in an intelligence test by the groups of students from section A and section B of National College:

Student no.12345678910
Section A981067678910
Section B10868987858
Test which group is more consistent to make scores in the intelligence test on the basis of coefficient of variation.

19.

The lifetime of a certain electronic component is a normal random variate with an expectation of 5000 hours and a standard deviation of 100 hours. Compute the probabilities under the following conditions:
a) Lifetime of components is less than 3012 hours
b) Lifetime of components between 4000 to 6000 hours
c) Lifetime of components less than 4500 hours
d) Lifetime of components more than 7000 hours

20.

Perform the ANOVA from Two-Way classification:

VaritiesBlocks
123
A1098
B777
C854
D544