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प्रश्न
Explain the types of sampling
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?
Suppose there are 10 students in your class. You want to select three out of them. How many samples are possible?
What is population?
What is statistic?
A random sample of 60 observations was drawn from a large population and its standard deviation was found to be 2.5. Calculate the suitable standard error that this sample is taken from a population with standard deviation 3?
In a sample of 400 population from a village 230 are found to be eaters of vegetarian items and the rest non-vegetarian items. Compute the standard error assuming that both vegetarian and non-vegetarian foods are equally popular in that village?
Choose the correct alternative:
A ______ of statistical individuals in a population is called a sample
Choose the correct alternative:
A ______ is one where each item in the universe has an equal chance of known opportunity of being selected
Choose the correct alternative:
Which one of the following is probability sampling
