1. Why did you apply for this job?
I have applied for many jobs along with this one and it’s just that you called me first.

2. Why do you want to work for this company?
I have to work for some company, whoever gives me a job, I don't have any specific company in mind.

3. Why should I hire you?
You have to hire some one; you may give me a try.

4. What would you do if this happened?
Well, it depends on my mindset and mood in that situation...

5. What is your biggest strength?
I dare to join any company who pays me well, without thinking about the fate of company.

6. What is your biggest weakness?
Girls

7. What was your worst mistake and how did you learn from it?
Joining my earlier company and I learnt that I need to switch my job to get more money, so I am here today.

8. What accomplishments in your last position are you most proud of?
Had I accomplished any in my last position, why do I need to change my job? I could demand more and stay there.

9. Describe a challenge that you faced and how did you overcome it?
Biggest challenge is answering the question "why are you looking for a change" and I started blabbering irrelevantly to overcome that.

10. Why did you leave/ are you leaving your last job?
For the same reason why you left your previous job.

11. What do you want from this job?
No work and good hikes.

12. What are your career goals and how do you plan to achieve them?
Making more money and for that I keep switching jobs every two years.

13. What do you know about our company?
I knew you will ask me this question. So, I've gone through your website.

14. What salary are you expecting?
Well, no one will change his job for the same salary, hence, give me 20% extra than what I am getting right now. I know you will bargain on whatever I ask. So I have already hiked my current salary by 30%. 


Sources-E-mails & Internet

1.That’s great
2.Good job
3.Excellent
4.I appreciate that
5.That’s looking good
6.Good work
7.Great work
8.You’re doing well
9.Good to have you on the team
10.You made the difference
11.Exceptional
12.Thanks for the extra ….
13.Wonderful
14.That is so significant
15.Superb
16.Perfect
17.Just what was needed
18.Centre button
19.A significant contribution
20.Wow
21.Fantastic
22.Thanks you
23.Just what the doctor ordered
24.First class
25.Nice job
26.Way to go
27.Far out
28.Just the ticket
29.You are a legend
30.Very professional
31.Where would we be without you
32.Brilliant
33.Top marks
34.Impressive
35.You hit the target
36.Neat
37.Cool
38.Bulls eye
39.How did you get so good
40.Beautiful
41.Just what was wanted
42.Right on the money
43.Great
44.Just right
45.Congratulations
46.Very skilled
47.I’m glad you’re on my team
48.It is good to work with you
49.You did us proud
50.This is going to make us shine
51.Well done
52.I just love it
53.You are fantastic
54.Great job
55.Professional as usual
56.You take the biscuit every time
57.I’m proud of you
58.Don’t ever leave us
59.Are you good or what?
60.The stuff of champions
61.Cracking job
62.First class job
63.Magnificent
64.Bravo
65.Amazing
66.Simply superb
67.Triple A
68.Perfection
69.Poetry in motion
70.Sheer class
71.World class
72.Polished performance
73.Class act
74.Unbelievable
75.Gold plated
76.Just classic
77.Super
78.Now you’re cooking
79.You are so good
80.You deserve a pat on the back
81.Tremendous job
82.Unreal
83.Treasure
84.Crash hot
85.You beauty
86.The cat’s whiskers
87.I just can’t thank you enough
88.You always amaze me
89.Magic
90.Another miracle
91.Terrific
92.What a star
93.Colossal
94.Wonderful
95.Top form
96.You’re one of a kind
97.Unique
98.Way out
99.Incredible
100.Ace


There are hundreds of languages in the world, but a smile speaks them all. Keep smiling

Warm Regards
Pavan V.Huddar

CDAC : Center for Development of Advanced Parallel Computing.
C-DOT : Center for Development of Telematrics.
HTTP : Hyper Text Transfer Protocol
ROM : Read Only Memory
RAM : Random Access Memory
BIOS : Basic Input- Output System.
MODEM : Modulation – Demodulation.
CAD : Computer Aided Design.
PSTN : Public Switched Public Data Network.
PSPDN : Pocket Switched Public.
RABAN : Remote Area Business Message Network.
LAN : Local Area Network
WAN : Wide Area Network .
MAN : Metropolitan Area Network.
CDMA : Code Division Multiple Access.
GAIS : Gateway Internet Access Service
E-Mail : Electronic Mail.
CD : Compact Disc.
LDU : Liquid Display Unit.
CPU : Central Processing Unit.
CAM : Computer Aided Manufacturing.
CATScan : Computerized Axial Tomography Scan .
COBOL : Common Business Oriented Language.
COMAL : Common Algorithmic Language.
DOS : Disk Operating System.
DTS : Desk Top System
DTP : Desk Top Publishing.
E-Commerce : Electronic Commerce.
ENIAC : Electronic Numerical Integrator And Calculator
FAX : Far Away Xerox.
FLOPS : Floating Operations Per Second.
FORTRAN : Formula Translation.
HLL : High Level Language.
HTML : Hyper Text Markup Language.
IBM : International Business Machine.
IC : Integrated Circuit
ISH : International Super Highway.
LISP : List Processing.
LLL : Low Level Language
MICR : Magnetic Ink Character Recognizer.
MIPS : Millions of Instructions Per Second.
MOPS : Millions of Operations Per Second.
MPU : Micro Processor Unit.
NICNET : National Information Center Network.
OMR : Optical Mark Reader.
PC-DOT : Personal Computer Disk Operation System.
PROM : Programmable Read Only Memory.
SNOBOL : String Oriented Symbolic Language.
UPS : Uninterpretable Power Supply.
VDU : Visual Display Unit.
VLSI : Very Large Scale Integrated.
WWW : World Wide Web.
WLAN – Wireless Local Area Network.
Wi-fi – Wireless Fidelity
TIFF – Tagged Image File Format
e-SATA – External Serial Advanced Technology Attachment
WiMAX – Worldwide Interoperability for Microwave Access
JPEG – Joint Photographic Experts Group
GIF – Graphics Interchange Format
ATX – Advanced Technology Extended
UATX – Ultra Advanced Technology Extended
FATX – Flex Advanced Technology Extended
MATX – Micro Advanced Technology Extended
EEATX – Enhanced Extended Advanced Technology Extended
DDR SDRAM – Double-Data-Rate Synchronous Dynamic Random Access Memory
DDR RAM – Double-Data-Rate Random Access Memory
GUI – Graphical User Interfaces
CUI – Command User Interfaces

COMPUTER means
C:-Common,O:-Operated,M:-Machine,P:-Purposely,U:-Used for, T:-Trade,E:-Education,R:-Research

Sources;-Internet.

 In United Nations Organization (UNO) there are 193 member nations.
Below are the name and the year of membership of the nations.


A

Afghanistan

19-11-1946

Albania

14-12-1955

Algeria

08-10-1962

Andorra

28-07-1993

Angola

01-12-1976

Antigua and Barbuda

11-11-1981

Argentina

24-10-1945

Armenia

02-03-1992

Australia

01-11-1945

Austria

14-12-1955

Azerbaijan

02-03-1992

B
Bahamas

18-09-1973

Bahrain

21-09-1971

Bangladesh

17-09-1974

Barbados

09-12-1966

Belarus*

24-10-1945

Belgium

27-12-1945

Belize

25-09-1981

Benin

20-09-1960

Bhutan

21-09-1971

Bolivia (Plurinational State of)

14-11-1945

Bosnia and Herzegovina*

22-05-1992

Botswana

17-10-1966

Brazil

24-10-1945

Brunei Darussalam

21-09-1984

Bulgaria

14-12-1955

Burkina Faso

20-09-1960

Burundi

18-09-1962


C
Cambodia

14-12-1955

Cameroon

20-09-1960

Canada

09-11-1945

Cape Verde

16-09-1975

Central African Republic

20-09-1960

Chad

20-09-1960

Chile

24-10-1945

China

24-10-1945

Colombia

05-11-1945

Comoros

12-11-1975

Congo

20-09-1960

Costa Rica

02-11-1945

Côte D'Ivoire

20-09-1960

Croatia*

22-05-1992

Cuba

24-10-1945

Cyprus

20-09-1960

Czech Republic*

19-01-1993

D
Democratic People's Republic of Korea

17-09-1991

Democratic Republic of the Congo *

20-09-1960

Denmark

24-10-1945

Djibouti

20-09-1977

Dominica

18-12-1978

Dominican Republic

24-10-1945

E
Ecuador

21-12-1945

Egypt*

24-10-1945

El Salvador

24-10-1945

Equatorial Guinea

12-11-1968

Eritrea

28-05-1993

Estonia

17-09-1991

Ethiopia

13-11-1945

F


Fiji

13-10-1970

Finland

14-12-1955

France

24-10-1945

G

Gabon

20-09-1960

Gambia

21-09-1965

Georgia

31-07-1992

Germany*

18-09-1973

Ghana

08-03-1957

Greece

25-10-1945

Grenada

17-09-1974

Guatemala

21-11-1945

Guinea

12-12-1958

Guinea Bissau

17-09-1974

Guyana

20-09-1966

H

Haiti

24-10-1945

Honduras

17-12-1945

Hungary

14-12-1955

I
Iceland

19-11-1946

India

30-10-1945

Indonesia*

28-09-1950

Iran (Islamic Republic of)

24-10-1945

Iraq

21-12-1945

Ireland

14-12-1955

Israel

11-05-1949

Italy

14-12-1955

J

Jamaica

18-09-1962

Japan

18-12-1956

Jordan

14-12-1955

KKazakhstan

02-03-1992

Kenya

16-12-1963

Kiribati

14-09-1999

Kuwait

14-05-1963

Kyrgyzstan

02-03-1992

L

Lao People’s Democratic Republic

14-12-1955

Latvia

17-09-1991

Lebanon

24-10-1945

Lesotho

17-10-1966

Liberia

02-11-1945

Libya*

14-12-1955

Liechtenstein

18-09-1990

Lithuania

17-09-1991

Luxembourg

24-10-1945

M

Madagascar

20-09-1960

Malawi

01-12-1964

Malaysia*

17-09-1957

Maldives

21-09-1965

Mali

28-09-1960

Malta

01-12-1964

Marshall Islands

17-09-1991

Mauritania

27-10-1961

Mauritius

24-04-1968

Mexico

07-11-1945

Micronesia (Federated States of)

17-09-1991

Monaco

28-05-1993

Mongolia

27-10-1961

Montenegro*

28-06-2006

Morocco

12-11-1956

Mozambique

16-09-1975

Myanmar

19-04-1948

N

Namibia

23-04-1990

Nauru

14-09-1999

Nepal

14-12-1955

Netherlands

10-12-1945

New Zealand

24-10-1945

Nicaragua

24-10-1945

Niger

20-09-1960

Nigeria

07-10-1960

Norway

27-11-1945

O

Oman

07-10-1971

P

Pakistan

30-09-1947

Palau

15-12-1994

Panama

13-11-1945

Papua New Guinea

10-10-1975

Paraguay

24-10-1945

Peru

31-10-1945

Philippines

24-10-1945

Poland

24-10-1945

Portugal

14-12-1955

Q

Qatar

21-09-1971

R

Republic of Korea

17-09-1991

Republic of Moldova

02-03-1992

Romania

14-12-1955

Russian Federation*

24-10-1945

Rwanda

18-09-1962

S

Saint Kitts and Nevis

23-09-1983

Saint Lucia

18-09-1979

Saint Vincent and the Grenadines

16-09-1980

Samoa

15-12-1976

San Marino

02-03-1992

Sao Tome and Principe

16-09-1975

Saudi Arabia

24-10-1945

Senegal

28-09-1960

Serbia*

01-11-2000

Seychelles

21-09-1976

Sierra Leone

27-09-1961

Singapore*

21-09-1965

Slovakia*

19-01-1993

Slovenia*

22-05-1992

Solomon Islands

19-09-1978

Somalia

20-09-1960

South Africa

07-11-1945

South ‎Sudan*

14-07-2011

Spain

14-12-1955

Sri Lanka

14-12-1955

Sudan

12-11-1956

Suriname

04-12-1975

Swaziland

24-09-1968

Sweden

19-11-1946

Switzerland

10-09-2002

Syrian Arab Republic*

24-10-1945

T

Tajikistan

02-03-1992

Thailand

16-12-1946

The former Yugoslav Republic of Macedonia*

08-04-1993

Timor-Leste

27-09-2002

Togo

20-09-1960

Tonga

14-09-1999

Trinidad and Tobago

18-09-1962

Tunisia

12-11-1956

Turkey

24-10-1945

Turkmenistan

02-03-1992

Tuvalu

05-09-2000

U

Uganda

25-10-1962

Ukraine

24-10-1945

United Arab Emirates

09-12-1971

United Kingdom of Great Britain and Northern Ireland

24-10-1945

United Republic of Tanzania*

14-12-1961

United States of America

24-10-1945

Uruguay

18-12-1945

Uzbekistan

02-03-1992

V

Vanuatu

15-09-1981

Venezuela (Bolivarian Republic of)

15-11-1945

Viet Nam

20-09-1977

Y

Yemen*

30-09-1947

Z

Zambia

01-12-1964

Zimbabwe

25-08-1980

Sources:-Internet,Manorama

History of sampling 
 Random sampling by using lots is an old idea, mentioned several times in the Bible. In 1786 Pierre Simon Laplace estimated the population of France by using a sample, along with ratio estimator. He also computed probabilistic estimates of the error. These were not expressed as modern confidence intervals but as the sample size that would be needed to achieve a particular upper bound on the sampling error with probability 1000/1001. His estimates used Bayes' theorem with a uniform prior probability and assumed that his sample was random.

In the USA the 1936 Literary Digest prediction of a Republican win in the presidential election went badly awry, due to severe bias . More than two million people responded to the study with their names obtained through magazine subscription lists and telephone directories. It was not appreciated that these lists were heavily biased towards Republicans and the resulting sample, though very large, was deeply flawed. 

Sampling (statistics)

In statistics and survey methodology, sampling is concerned with the selection of a subset of individuals from within a population to estimate characteristics of the whole population.

Researchers rarely survey the entire population because the cost of a census is too high. The three main advantages of sampling are that the cost is lower, data collection is faster, and since the data set is smaller it is possible to ensure homogeneity and to improve the accuracy and quality of the data.

Each observation measures one or more properties (such as weight, location, color) of observable bodies distinguished as independent objects or individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly stratified sampling (blocking). Results from probability theory and statistical theory are employed to guide practice. In business and medical research, sampling is widely used for gathering information about a population.

  Process The sampling process comprises several stages:

•  Defining the population of concern
  
•  Specifying a sampling frame, a set of items or events possible to measure
•  Specifying a sampling method for selecting items or events from the frame
•  Determining the sample size
•  Implementing the sampling plan
•  Sampling and data collecting

Sampling methods :
 Within any of the types of frame identified above, a variety of sampling methods can be employed, individually or in combination. Factors commonly influencing the choice between these designs include:

1.      Nature and quality of the frame

2.       Availability of auxiliary information about units on the frame

3.       Accuracy requirements, and the need to measure accuracy

4.       Whether detailed analysis of the sample is expected

5.     Cost/operational concerns

•   Simple random sampling 
  
•   Systematic sampling 
•   Stratified sampling 
•   Poststratification
•   Oversampling
•   Probability proportional to size sampling 
•   Cluster sampling 
•   Quota sampling 
•   convenience sampling or Accidental Sampling 
•    Line-intercept sampling   

Sampling and data collection :
Good data collection involves

•   Following the defined sampling process
  
•   Keeping the data in time order
•   Noting comments and other contextual events
•   Recording non-responses

Most sampling books and papers written by non-statisticians focus only in the data collection aspect, which is just a small though important part of the sampling process.

Errors in sample surveys 
 Survey results are typically subject to some error. Total errors can be classified into sampling errors and non-sampling errors. The term "error" here includes systematic biases as well as random errors.

Sampling errors and biases Sampling errors and biases are induced by the sample design. They include:

1.    Selection bias: When the true selection probabilities differ from those assumed in calculating the results.

2.    Random sampling error: Random variation in the results due to the elements in the sample being selected at random.

Non-sampling error 
 Non-sampling errors are caused by other problems in data collection and processing. They include:

1.    Overcoverage: Inclusion of data from outside of the population.

2.    Undercoverage: Sampling frame does not include elements in the population.

3.    Measurement error: E.g. when respondents misunderstand a question, or find it difficult to answer.

4.    Processing error: Mistakes in data coding.

5.    Non-response: Failure to obtain complete data from all selected individuals.

After sampling, a review should be held of the exact process followed in sampling, rather than that intended, in order to study any effects that any divergences might have on subsequent analysis. A particular problem is that of non-response.

Sources:-Wikipedia & NSSO.

• The First Cell Phone was invented in 1973
• Martin Cooper invented Cell Phone
• Motorola is the worlds first Cell Phone manufacturing company
• It was in 1993 first International SMS were sent
• First International SMS were sent between England and Finland
• In 1998  Ring tone download facility was discovered
• First Cell Phone news was broadcasted in 2000
• Finland became the first nation to broadcast the Cell Phone news
• The recharge batteries of Cell Phones are made up of Nickel
  
• In 1991 worlds first Sim Card was manufactured
  
• China has  the highest number of  Cell Phone users in the  World
• Vodafone is the largest Cell Phone company 
  

Courtesy:-Internet and Vijaya karnataka daily.

Definition:-NGOs are difficult to define and classify due to the term’s inconsistent use. NGO, non-profit organizations within defined boundaries excludes NGOs that fall outside each specific boundary. Additionally, it is beneficial for NGO networks to create a classification that allows similar organizations to exchange information more easily. To attempt a classification of NGOs requires a framework, that includes the orientation and the organization's level of operation. An NGO's orientation refers to the type of activities an organization takes on. These activities might include environmental, development, or advocacy work. An NGO's level of operation indicates the scale at which an organization works on, like the difference in work between an international NGO and community or national NGO.

Types of NGOs:

NGO type can be understood by orientation and level of co-operation.

NGO type by orientation"-
1.Charitable orientation;
2.Service orientation;
3.Participatory
4.Empowering orientation

NGO type by level of co-operation
1.Community- Based Organization2.City Wide Organization
3.National NGOs
4.International NGOs

   This is the description and types of NGOs.There are nearly 3900000 NGOs registered in India,Means for every 400 population there is 1 NGO.But still there is a very less impact on the socio economic status of India.Expert says the change needs time.I have been working with the NGOs from the past 3 years,in some projects I worked as staff and as a volunteer in many projects.I did my graduation in computer application, but with a clear intention of changing my society I gave up my IT career though my family opposed it and still opposing it.After working with the many NGOs in Hubli Dharwad twin cities for long time I felt  I took a wrong decision of becoming a Social Soldier.
      There are a few NGOs those have got a clear vision and commitment.One of them is SVYM (Swami Vivekananda Youth Movement).I worked with this organization on Y4D (Youth For Development) program,I believe I got work satisfaction only here.After that I have worked with many NGOs & gained a lot of dissatisfaction and a hate redness towards NGOs.I was working with a NGO (I will not spell it) on HIV,Foster Care Program, what I felt is the superior himself is in confusion.They failed to keep the promises all the time.When asked the instant answer was "Funds Are Not Passed".As a primary worker I was the face of the that NGO in the community.And at last I came out of that embarrassing situation.
Some time I feel NGOs have become a rich peoples tax saving options and I have decided to go back IT sector,and to work solely  with the underprivileged class.These are my experience with the NGOs that I shared,not hurt any one.Comments are welcome.