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प्रश्न
What is sampling distribution of a statistic?
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उत्तर
The sampling distribution of a statistic is the probability distribution of a given random sample-based statistic.
It may be considered as the distribution of the statistic for all possible samples from the same population of a given sample size.
For example, the sampling distribution of the mean for n = 2 is given below:
| Sample No. | Outcomes | Sample mean `bar("X")_"i"` |
| 1 | 1, 3 | 2 |
| 2 | 1, 9 | 5 |
| 3 | 3, 9 | 6 |
| 4 | 6, 7 | 6.5 |
| 5 | 7, 10 | 8.5 |
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संबंधित प्रश्न
There is a certain bias involved in the non-random selection of samples.
Non-sampling errors can be minimized by taking large samples.
Give two examples each of sample, population and variable.
Which of the following methods give better results and why?
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?
Explain in detail about sampling error
Choose the correct alternative:
A finite subset of statistical individuals in a population is called ______
Choose the correct alternative:
A ______ is one where each item in the universe has an equal chance of known opportunity of being selected
