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प्रश्न
There is a certain bias involved in the non-random selection of samples.
विकल्प
True
False
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उत्तर
This statement is true.
Explanation:
Non-random selection of items obstructs the equal chance of every item of the Universe of getting selected. Hence, there may be a high probability of involvement of the personal biases of the investigator in the non-random sample selected.
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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?
Discuss how you would use the lottery method to select 3 students out of 10 in your class?
Does the lottery method always give you a random sample? Explain.
Do samples provide better results than surveys? Give reasons for your answer.
Define parameter
What is standard error?
Explain in detail about systematic random sampling with example
Explain in detail about non-sampling error
State any two merits of simple random sampling
State any two demerits of systematic random sampling
State any two merits for systematic random sampling
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
A sample of 1000 students whose mean weight is 119 lbs (pounds) from a school in Tamil Nadu State was taken and their average weight was found to be 120 lbs with a standard deviation of 30 lbs. Calculate the standard error of the mean
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?
Choose the correct alternative:
A ______ of statistical individuals in a population is called a sample
Choose the correct alternative:
A finite subset of statistical individuals in a population is called ______
Explain the types of sampling
