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Why is a sample better than a census?
its better because we often don't have to survey a large population, so a sample is quicker, easier, requires few ressources, little time and can be more accurate if a person is not there to answer it because a sample could represent that person.
Does the size of a sample affect the values of the frequency table?
Yes. If the sample is a random drawing from the population, then as the size increases, the relative frequency of each interval from the sample should be a better estimate of the relative frequency in the population. Now, in practical terms, increasing a small sample will have a larger effect than increasing a large sample. For example, increasing a sample from 10 to 100 will have a larger effect than increasing a sample from 1000 to 10,000. The one exception to this, that I can think of, is if the focus of the study is on a very rare occurrence.
Why are random samples more representative of the population than other kinds of samples?
A 'random' sample - covers all age groups, genders, and other criteria. A 'targeted' sample might only cover a small part of the population.
How the sample survey is better than population survey?
It's not.
Why is a census preferred to a sample?
Sampling can be more accurate than a census as there is greater control of interviewers and less chances of mistakes being made as the data is collated
Does a random largely selected sample always give a better estimate of the population than a randomly selected sample?
A larger random sample will always give a better estimate of a population parameter than a smaller random sample.
Why is sample survey better than a census?
becuase it is more accurate.
Why is a large sample better than a small sample?
A large sample will reduce the effects of random variations.
What is total population survey?
It would be something like a census, surveying every last person in a given population rather than taking a random sample.
Why is a sample better than a census?
its better because we often don't have to survey a large population, so a sample is quicker, easier, requires few ressources, little time and can be more accurate if a person is not there to answer it because a sample could represent that person.
What are the uses of sampling?
(1) A sample may save money (as compared with the cost of a complete census) when absolute precision is not necessary. (2) A sample saves time, when data are desired more quickly than would be possible with a complete census. (3) A sample may make it possible to concentrate attention on individual cases. (4) In industrial uses, some tests are destructive (for example, testing the length of time an electric bulb will last) and can only be performed on a sample of items. (5) Some populations can be considered as infinite, and can, therefore, only be sampled. A simple example is an agricultural experiment for testing fertilizers. In one sense, a census can be considered as a sample at one instant of time of an underlying causal system which has random features in it. (6) Where non-sampling errors are necessarily large, a sample may give better results than a complete census because non-sampling errors are easier to control in smaller-scale operations
Why is conducting a sample survey preferable to conducting a census?
A sample survey may be preferable than a census because it can be more comprehensive. While its research only involves a subset, it is typically more accurate.
How does a census compare to a sample?
a census is the procedure of systematically acquiring and recording information about all d members of a given population and a sample is a group from d population a census is more thorough and gives accurate information about a population while being more expensive and comsuming time comsuing rather than a sample
What does it mean when the standard error value is smaller than the standard deviation?
It simply means that you have a sample with a smaller variation than the population itself. In the case of random sample, it is possible.
Is a drug urine analysis better than a hair drug analysis?
yes it better because there are more bacteria in a urine sample than a hair sample
What is the difference between a simple random sample and a stratified random sample?
Sometimes a population consists of a number of subsets (strata) such that members within any particular strata are alike while difference between strata are more than simply random variations. In such a case, the population can be split up into strata. Then a stratified random sample consists of simple random samples, with the same sampling proportion, taken within each stratum.
Does the size of a sample affect the values of the frequency table?
Yes. If the sample is a random drawing from the population, then as the size increases, the relative frequency of each interval from the sample should be a better estimate of the relative frequency in the population. Now, in practical terms, increasing a small sample will have a larger effect than increasing a large sample. For example, increasing a sample from 10 to 100 will have a larger effect than increasing a sample from 1000 to 10,000. The one exception to this, that I can think of, is if the focus of the study is on a very rare occurrence.
