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A sample.

The answer depends on the demography of the population from which the person is randomly selected.The answer depends on the demography of the population from which the person is randomly selected.The answer depends on the demography of the population from which the person is randomly selected.The answer depends on the demography of the population from which the person is randomly selected.

Sample. A random sample ensures that everyone or thing has a proportionally equal chance of being picked. The idea is that the sample should be representative of the whole population.

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

randomly they were just picked randomly.

If I understand your question, yes, the proportion of people in a population ill with a certain disease at a given time is the same as the probablility that a randomly selected person in that population will have the disease at that time.

In Ancient greece, they were selected randomly

A larger random sample will always give a better estimate of a population parameter than a smaller random sample.

The Population of the data set. If there was a study of 5000 people, 50 were randomly selected as a sample, then "N" would be 5000.

0.13 to 2 d.p.

RANDOMLY

no you cannot. you are randomly selected from a list.

By randomly pulling a name from a hat.

it's randomly selected, i guess

Arbitrary basically means randomly selected.

The samples must be randomly selected, independent, and normally distributed. The following are necessary to use a t-test for small independent samples. 1. The samples must be randomly selected. 2. The samples must be independent. 3. Each population must have a normal distribution.

The answer would depend on the demographics of the population: a probability of 0.2 it too high unless the population is from a retirement area.

They can be selected in 756 ways.

randomly selected

The sample should be selected randomly.

Its the group of the people that the selected group that completes the survey represents. For example if a teacher randomly selected ten kids for a survey to see what a classes favorite movie is. The class would be the population of that survey. sources- 7th grade advanced math class, we just did surveys :) :) -J

That means that a number is selected randomly from a certain set. For example, if you throw a die, you can randomly get any of the integers from 1 to 6. It is random, because you don't know the result in advance.That means that a number is selected randomly from a certain set. For example, if you throw a die, you can randomly get any of the integers from 1 to 6. It is random, because you don't know the result in advance.That means that a number is selected randomly from a certain set. For example, if you throw a die, you can randomly get any of the integers from 1 to 6. It is random, because you don't know the result in advance.That means that a number is selected randomly from a certain set. For example, if you throw a die, you can randomly get any of the integers from 1 to 6. It is random, because you don't know the result in advance.

yes

85/500 = 17%

Internal validity has to do with the accuracy of the results. Results could be inaccurate if samples are not selected randomly. External validity has to do with the generalizability of the findings to the population. If the sample selected is only Hispanics under the age of 25, then it would be hard to generalize the results to the entire US population.