Distrust of Statistics is due to: (a) Misuse of statistics; (b) Insufficient Statistical Methods;
(c) Scope of Statistics is limited; (d) Limitations of Statistics
is the person who conducts statistical enquiry.
An ideal questionnaire should have the following number of questions:
(a) 20; (b) 50; (c) 100; (d) As small number as possible considering the purpose of enquiry
The size of a sample depends on:
(a) Reliability; (b) Accuracy; (c) Freedom from bias; (d) All of the above
The quickest method of collecting Primary Data is: (a) Mailed Questionnaire Method;
(b) Telephone Interview Method; (c) Census Method; (d) Direct Personal Interview
To find out 'Opinions of voters immediately before general election' which method will be suitable:
(a) Census; (b) Sample; (c) Either (a) or (b); (d) Secondary Data
National Sample Survey was set up under the Chairmanship of
Census of India is headed by the Office of
India.
characteristics such as honesty, poverty etc. are not suitable for statistical analysis.
Elaborate how 'Scarcity is the root cause of all economic problems.'
Distinguish between Primary and Secondary Data.
Which definition of Economics is best? Give reason.
For the following questions frame at least four appropriate multiple-choice options:
6) How often do you use Computers?
(i) For how many hours in a day do you use mobile phone?
Can there be any advantage in classifying things? Explain with an example from your daily life.
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Home > Business Economics - CS > Descriptive Statistics > Law of Statistics and Distrust of Statistics
Descriptive Statistics
Law of Statistics and Distrust of Statistics
There are several laws and limitations in statistics. There is also a lot of distrust of statistics. Today, we will talk about the various laws of statistics, their limitations and distrust of statistics.
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Laws of Statistics
There are two laws of statistics which form the basis of the theory of sampling. These are:
The Law of Statistical Regularity
Law of Inertia of Large Numbers
The Law of Statistical Regularity
distrust of statistics
This law forms the basis of the theory of probability in statistics. According to this theory, if you take a large random sample from a population, then it is fairly representative of the population.
According to Prof. W.I. King, “The law of statistical regularity formulated in a mathematical theory of probability lays down that a moderately large number of items chosen at random from a very large group are almost sure on the average to have the characteristics of the large group.” This law holds good if it meets two conditions:
The sample is random
The size of the sample is large