Sample is preferred to population because observing the population can be impossible due to its size. You take a random sample of the population and, with statistics, you can infer things about that population to various degrees of confidence based on the sample size and on other knowledge about the population. For instance, if you wanted to know how many people on earth have brown hair, you would not check all 6 billion people - you would create a sample set, say a few hundred, thousand, or whatever - count the number with brown hair - and then run your calculations.
A sample is a subset of the population.
Less time and less cost for a sample.
The sample is a subset of the population.
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It is not a sample. A sample must be a proper subset of the whole population.
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simple random sampling method
A Sample
The population of Preferred Bank is 120.
1) when the fixed cost of selecting a sample is high. 2) when there is high variability in the characteristic been measured. 3) when the population is small.
A sample is a subset of the population.
Less time and less cost for a sample.
You are studying the sample because you want to find out information about the whole population. If the sample you have drawn from the population does not represent the population, you will find out about the sample but will not find out about the population.
A sample is a subset of the population.
The sample is a subset of the population.
Preferred Hotel Group's population is 200.
Data is neither sample nor population. Data are collected for attributes. These can be for a sample or a population.