Chapter 1
Basics of data collection
(A) Very Short Questions and Answers
1. Give two examples of secondary data.
Ans: (a) Data collected from Newspaper
(b) Data collected from Magazines.
2. What is the census method?
Ans: Enumerators are the persons who collect desired statistical information.
5. Define respondents.
Ans: Respondents are the persons who provide the actual data.
Ans: (a) Census method requires a large number of
enumerators which is not easily available.
(b) There is a possibility of statistical errors as the investigator deals with a large volume of data.
7.What is random sampling?
Ans: Random sampling is that type of method where every item of the universe has equal chance of being selected in the sample.
Ans: Census method.
Ans: Non-sampling errors occur in any type of survey
whether it be census or sample method.
11. What are sampling errors?
Ans: Sampling error is the difference between the
result of studying a sample and the result of the census of the whole
population.
Ans: Measures of central tendency describe the
tendency of indi- vidual items to cluster or concentrate around the centre in a
frequency distribution.
13. What is systematic sampling?
Ans: Systematic sampling is the method where units of
the population are numerically, geographically and alphabetically arranged.
Every nth item of the numbered is selected as a sample item.
Ans: The value which occurs most frequently in series
is known as mode.
15. Give the meaning of median.
Ans: Median is the middle value of a series when it
is arranged either in ascending or descending order.
16. What is meant by dispersion?
Ans: Dispersion indicates the extent to which the
individual val- ues fall away from the central value.
17. What does harmonic mean?
Ans: Harmonic mean is a type of average that is
calculated by dividing the number of values in a data series by the sum of the
reciprocals of each value in the data series.
18. Define range.
Ans: Range is defined as the difference between the
largest and the smallest item in a distribution.
19. Mention any two demerits of standard deviation.
Ans. (i) Standard deviation is difficult to
calculate.
(ii) It is affected by extreme values.
(B) Short Question and Answer
Ans: The essentials of sampling are-
(a) The sample must truly represent the population.
(b) The size of the sample must be adequate.
(c) The sample unit should be selected randomly and
independently.
(d) The population must be homogenous.
2. What are the purpose of average in the statistical
method?
Ans: The purpose of average in the statistical method
are-
(a) Brief description
(b)Comparison
(c) Formulation of policies
(d) Statistical analysis
(e) One value of all.
3. Explain briefly the random methods of collecting
samples.
Ans: The various random sampling methods are-
(i) Simple random sampling: A simple random sampling
is one in which every item of the population has an equal chance of being
selected. Under this, the following methods are used- (a) Lottery method (b)
Use of random number table.
(ii) Restricted random sampling: In case of
heterogenous population, it becomes necessary to select a random sample under
certain restriction. Such samples are known as 'restricted random samples'.
Some of important random sampling under this category are -
(a) Stratified random sampling (b) Systematic sampling (c)
Cluster sampling (d) Multistage sampling.
4. Discuss the non-random methods of sampling.
Ans: Under a non-random sampling method, the
selection of a sample depends on the judgment of the investigator rather than
on choice. This method does not provide every item in the universe with a known
chance of being included in the sample. If the investigator is unbiased and
intelligent, the selected sample may be more representative of the popula- tion
than a random sample. The main methods of nonrandom sampling are-
(i) Judgement sampling
(ii) Quota sampling
(iii) Convenience sampling.
5. Discuss the precautions to be considered while mak-
ing use of secondary data.
Ans: The following precautions are to be considered
while mak- ing use of secondary data-
(i)The authority which has collected the data should be
reli- able and dependable.
(ii) The purpose of the inquiry under investigation should
have uniformity with the original purpose for which data are collected.
(iii) The interval between the time periods, when data are
origi- nally collected to the time when it is going to be used should not be
much.
(iv) The definition of units in which the data were
collected.
(v) There should not be a significant variation between the
degree of accuracy required for the present purpose and the original data.