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A sample consists of a small portion of data when a population is taken from a large amount.

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13y ago

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What two features must a sample have if it is to accurately represent a population?

differences between quantitative and qualitative data


When testing for differences between two means the sample population are?

You are testing the difference between two means of independent sample and the population variance are not known. from those population you take two samples of two different size n1and n2. what degrees of freedom is appropriate to consider in this case


The sum of the differences between sample observations and sample means is what?

always zero


What statistical concept is used to explain the natural difference that exists between a sample mean and corresponding population mean?

Random error.


What is the relationship between sample and population?

From a sample of a population, the properties of the population can be inferred.


What is relations between representative sample and population?

A representative sample is a randomly selected subset of the population.


What is the difference between the sample of the population and the average of the population?

A sample of a population is a subset of the population. The average of the population is a statistical measure for some variable of the population.


Briefly explain the differences between a census and a sample survey?

Researchers define a "population" which consists of elements with defined characteristics. Example: All the matriculating students at Providence College. If the researcher studies the entire population as defined above, it is called a "census". If, on the other hand, the researcher takes a subset of the population, a sample, and studies it it will be a sample survey (or study in more general terms.)


What is difference between sample and representative sample?

A sample is any subset of the total population. A representative sample is one that is chosen so that its characteristics are similar to that of the population.


What are the differences between probability sampling and non probability sampling?

In a probability sample, each unit has the same probability of being included in the sample. Equivalently, given a sample size, each sample of that size from the population has the same probability of being selected. This is not true for non-probability sampling.


What is the relationship between a sample and population is statistics?

Information obtained from the sample can be extrapolated to the whole population using statistics.


How many integers between 1 to 25 would you expect to appear in a sample of 80 trials?

A sample of 5 integers selected is shown. Does this sample represent the general rule for picking an integer from 1 to 25 in the population of integers from 1 to 1,000? Explain.

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