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प्रश्न
Non-sampling errors can be minimized by taking large samples.
विकल्प
True
False
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उत्तर
This statement is false.
Explanation:
The errors that are related to the collection of data are termed Non-sampling Errors. If the field of investigation or the population size is large, then the possibility of Non-sampling Errors also increases. So, Non-sampling Errors are maximized by taking large samples.
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संबंधित प्रश्न
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Which of the following methods give better results and why?
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Explain in detail about simple random sampling with a suitable example
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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 |
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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:
Any statistical measure computed from sample data is known as ______
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