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प्रश्न
Explain the types of sampling
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उत्तर
There are two types of sampling.
They are:
(1) Non-Random sampling or Non-probability sampling
(2) Random sampling or probability sampling Random sampling refers to selection of samples from the population in a random manner.
A random sample is one where each and every item in the population has an equal chance of being selected.
“Every member of a parent population has had equal chances of being included “Dr. Yates.
“A random sample is a sample selected in such a way that every item in the population has an equal chance of being included”-Harver.
The different types of probability sampling are:
(1) Sampling random sampling
(2) Stratified random sampling
(3) Systematic sampling
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संबंधित प्रश्न
There is a certain bias involved in the non-random selection of samples.
Which of the following errors is more serious and why?
Explain the procedure of selecting a random sample of 3 students out of 10 in your class, by using random number tables.
Do samples provide better results than surveys? Give reasons for your answer.
Explain the stratifi ed random sampling with a suitable example
Explain in detail about systematic random sampling with example
Choose the correct alternative:
A finite subset of statistical individuals in a population is called ______
Choose the correct alternative:
Any statistical measure computed from sample data is known as ______
Choose the correct alternative:
A ______ is one where each item in the universe has an equal chance of known opportunity of being selected
A sample of 100 students is drawn from a school. The mean weight and variance of the sample are 67.45 kg and 9 kg. respectively. Find (a) 95% (b) 99% confidence intervals for estimating the mean weight of the students
