Questions
Syllabus
Qns. By Syllabus

Semester

Subject

Year

Tribhuwan University

Institute of Science and Technology

2076

Bachelor Level / First Year / Second Semester / Science

B.Sc in Computer Science and Information Technology (STA169)

(Statistics I)

Full Marks: 60

Pass Marks: 24

Time: 3 Hours

Candidates are required to give their answers in their own words as for as practicable.

The figures in the margin indicate full marks.

Section A

Long Answers Questions

Attempt any TWO questions.
[2*10=20]
1.
What are the roles of measure of dispersion in descriptive statistics? Following table gives the frequency distribution of thickness of computer chips (in nanometer) manufactured by two companies.
Thickness of computer chips51015202530Number of chipsCompany A101524201813Company B12182022244\begin{array}{|c|cccccc|}\hline \text{Thickness of computer chips} & 5 & 10 & 15 & 20 & 25 & 30 \\ \hline \text{Number of chips} & & & & & & \\ \text{Company A} & 10 & 15 & 24 & 20 & 18 & 13 \\ \text{Company B} & 12 & 18 & 20 & 22 & 24 & 4 \\ \hline \end{array}
[10]
2.
A study was done to study the effect of ambient temperature on the electric power consumed by a chemical plant. Following table gives the data which are collected from an experimental pilot plant.
Temperature(∘F)2745725831603474Electric Power (BTU)250285320295265298267321\begin{array}{|c|cccccccc|}\hline \text{Temperature}(^{\circ}F) & 27 & 45 & 72 & 58 & 31 & 60 & 34 & 74 \\ \text{Electric Power (BTU)} & 250 & 285 & 320 & 295 & 265 & 298 & 267 & 321 \\ \hline \end{array}
a. Identify which one is response variable, and fit a simple regression line, assuming that the relationship between them is linear. b. Interpret the regression coefficient with reference to your problem. c. Obtain coefficient of determination, and interpret this. d. Based on the fitted model in (a), predict the power consumption for an ambient temperature of 65∘F65^{\circ}F. [10+0]
3.
a. Define Normal distribution. What are the main characteristics of a Normal distribution? b. What do you mean by probability density function? Write down its properties. [10]
Section B

Short Answers Questions

Attempt any Eight questions.
[8*5=40]
4.
The following table gives the installation time (in minutes) for hardware on 50 different computers. If the average installation time is 30.2 minutes, find missing frequencies.
Installation Time0−1010−2020−3030−4040−50TotalNumber of computers4−10−1050\begin{array}{|c|ccccc|c|}\hline \text{Installation Time} & 0-10 & 10-20 & 20-30 & 30-40 & 40-50 & \text{Total} \\ \text{Number of computers} & 4 & - & 10 & - & 10 & 50 \\ \hline \end{array}
[5]
5.
The length of power failure in minute are recorded in the following table. Find Q3Q_3, D2D_2 and P40P_{40} and interpret the results.
Power failure time22232425262728TotalFrequency2571043233\begin{array}{|c|ccccccc|c|}\hline \text{Power failure time} & 22 & 23 & 24 & 25 & 26 & 27 & 28 & \text{Total} \\ \text{Frequency} & 2 & 5 & 7 & 10 & 4 & 3 & 2 & 33 \\ \hline \end{array}
[5]
6.
A manufacturing company employs three analytical plan for the design and development of a particular product. For cost reasons, all three are used at varying times. In facts plan 1, 2, and 3 are used for 30%, 20% and 50% of the products respectively. The defect rate in different procedures is as follows: P(D/P1)=0.01P(D/P_1) = 0.01, P(D/P2)=0.03P(D/P_2) = 0.03, P(D/P3)=0.02P(D/P_3) = 0.02, Where P(D/Pj)P(D/P_j) is the probability of a defective product, given plan jj. If a random product was observed and found to be defective, which plan was most likely used and thus responsible? [5]
7.
The random variable XX has following probability distribution.
X0123456P(X=x)0.030.150.40.20.10.070.05\begin{array}{|c|ccccccc|}\hline X & 0 & 1 & 2 & 3 & 4 & 5 & 6 \\ P(X=x) & 0.03 & 0.15 & 0.4 & 0.2 & 0.1 & 0.07 & 0.05 \\ \hline \end{array}
[5]
8.
If two random variables have the joint probability density function f(x,y)={k(2x+3y),0≤x≤1,0≤y≤10,otherwisef(x, y) = \begin{cases} k(2x + 3y), & 0 \leq x \leq 1, 0 \leq y \leq 1 \\ 0, & \text{otherwise} \end{cases}, find (i) constant kk (ii) conditional probability density function of XX (iii) Identify whether XX and YY are independent.
f(x,y)={k(2x+3y),0≤x≤1,0≤y≤10,otherwisef(x, y) = \begin{cases} k(2x + 3y), & 0 \leq x \leq 1, 0 \leq y \leq 1 \\ 0, & \text{otherwise} \end{cases}
[5]
9.
A large chain retailer purchases a certain kind of electronic device from a manufacturer. The manufacturer indicates that the defective rate of the device is 15%. The inspector randomly picks 10 items from a shipment. What is the probability that there will be at least one defective item among these 10? [5]
10.
Message arrives at an electronic message center at random times, with an average of 9 messages per hour. a. What is the probability of receiving at least four messages during the next hour? b. What is the probability of receiving at most three messages during the next hour? [5]
11.
Following data represent of the preference of 10 students studying B.Sc(CSIT) towards two brands of computer namely DELL and HP. Apply appropriate statistical tool to measure whether the brand preference is correlated. Also interpret your result.
ComputerStudent PreferenceLenovo52981103467Acer10513862794\begin{array}{|c|c|c|c|c|c|c|c|c|c|c|}\hline \text{Computer} & \text{Student Preference} & & & & & & & & & \\ \hline \text{Lenovo} & 5 & 2 & 9 & 8 & 1 & 10 & 3 & 4 & 6 & 7 \\ \text{Acer} & 10 & 5 & 1 & 3 & 8 & 6 & 2 & 7 & 9 & 4 \\ \hline \end{array}
[5]
12.
What do your mean by measurement scale? Describe the different types of measurement scales used in statistics. [5]
13.
What is sampling? Discuss various probability sampling techniques with merits and demerits. [5]