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# Can a population have more than one sample associated with it?

Updated: 11/19/2022

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Q: Can a population have more than one sample associated with it?
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### Why is a sample used more often than a population?

because it is simpler and more accurate

### A sample of 20 is considered a robust sample in a population of 300. What about a sample of 20 in a population of 15 or 20?

First, if your "sample" is of the whole population then it's no longer a sample. Second, if you're "sampling" is more than the actual population, which is impossible, it's also no longer a sampling but a real number.

### Is population or sample used more often?

Rarely or ever is the entire population questioned (if the population is small than you will come close sometimes). A sample (often over 1000) is the common practice.

### 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

### If the size of a sample equals to the size of the population?

Sample is subset of the population so sample size and population size is different.However, as a subset can be the whole set, if the sample size equals the population size, you have sampled the entire population and you will be 100% accurate with your results; it may cost much more than surveying a [representative] sample, but you get the satisfaction of knowing for what you surveyed the population exactly.Using a sample is a trade off between the cost of surveying the whole population and accuracy of the result.A census is a survey of the whole population and could be considered that the sample size = population size; in this case the results are 100% accurate.The television viewing figures are calculated using a sample of the whole population and then extrapolating them to the whole population; depending upon how the same was chosen, including its size, will affect the accuracy of the results - most likely not more than 95% accurate.With a carefully selected (that is properly biased) sample you can prove almost anything!

### When can you estimate a population's size when counting individuals in a sample of the population?

You can estimate a population's size when counting individuals if the density in a sample is greater than the population density.

### Is it true that using data from a sample will yield more acurate results than if data was collected from the entire population?

No, it is not true. All that a sample gives you is an estimate about what the distribution might look like in the entire population. If you know what the distribution in the population looks like you have an error free fact and no estimate can better than that. another way to look at that: the bigger a sample gets the better the accuracy of the estimate. The sample cannot be bigger than the population however. The one caveat is in the data collection process. Under certain circumstances a sample may be more precise when data collection is difficult or flawed.

### 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.

### How many boxes must the processor sample to be 95 percent confident that the sample mean does not differ from the population mean by more than 0.2 pounds?

In order to answer the question it is necessary to know the population standard error.

### What is a non probability sample?

A sample of a population that is based on factors other than randomness.

### How is sample related to population?

A population is the collection of all of the units of interest to a researcher. A sample is a subset of this collection that the researcher selects that is typically smaller than the population.

It's not.