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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
Suppose there are 10 students in your class. You want to select three out of them. How many samples are possible?
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.
What is sample?
What is statistic?
What is sampling distribution of a statistic?
Explain the stratifi ed random sampling with a suitable example
Using the following Tippet’s random number table
| 2952 | 6641 | 3992 | 9792 | 7969 | 5911 | 3170 | 5624 |
| 4167 | 9524 | 1545 | 1396 | 7203 | 5356 | 1300 | 2693 |
| 2670 | 7483 | 3408 | 2762 | 3563 | 1089 | 6913 | 7991 |
| 0560 | 5246 | 1112 | 6107 | 6008 | 8125 | 4233 | 8776 |
| 2754 | 9143 | 1405 | 9025 | 7002 | 6111 | 8816 | 6446 |
Draw a sample of 10 three-digit numbers which are even numbers
Write short note on sampling distribution and standard error
Determine the standard error of proportion for a random sample of 500 pineapples was taken from a large consignment and 65 were found to be bad
