Best Answer

random sample

User Avatar

Wiki User

12y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: A sample in which each individual or object in the entire population has an equal chance of being selected?
Write your answer...
Still have questions?
magnify glass
Related questions

What is a small part used to represent an entire population?

Sample-a small group selected by researchers to represent the most important characteristics of an entire population. (according to my book)

Why are you using sampling?

Usually we are interested in the characteristics of large populations of items or people. It would often prove costly or impossible to measure these characteristics for the entire population. We therefore measure them for a carefully selected sample of the population and attempt to make scientific inferences about the entire population from the characteristics of the sample.

If the entire human population formed one giant individual how big would it be?

Almost the size of Michael Moore.

What does sample mean in math?

In maths, a sample is a group of things (people, books, pets etc...) randomly selected from a population (of people, books, pets etc...), which can be used to draw conclusions about the entire population. Sampling is very useful, since in most cases is it not possible to collect data from an entire population. Technically it is a "random subset of the population".

Who is the speaker of the house selected by?

The entire House of Representatives

Is a census a collection of data based on a sample or the entire population?

The entire population.

Difference between sample regression and population regression line?

AnswerA sample is a subset of a population. Usually it is impossible to test an entire population so tests are done on a sample of that population. These samples can be selected so that they are representative of the population in which cases the sample will have weights, strata, and clusters. But usually people use random samples. So it's not that the line is different, it's that the line comes from different data. In stats we have formulas that allow a sample to represent a population, if you have the entire population (again unlikely), you wouldn't need to use this sample formulas, only the population formulas.

Do most citizens of Ireland live in dublin?

More people live in Dublin than in any other individual part of Ireland, but the entire population outside of Dublin would be bigger than Dublin's population.

What is the difference between stratified an random sampling?

In (Simple) random sampling, all of the units in the sample have the same chance of being included in the sample. Units are selected randomly from a population by some random method that gives equal probability to each element. In stratified random sampling, the entire population is divided into heterogeneous sub-popuation known as strata (sub-population with unequal variances) and a random sample is chosen from each of these stratum. The reason when to use which depends on the situation and need of the experimenter.

What is the difference between a random sample and a simple random sample?

This is a very vague area for new students in Statistics, especially for non-math students.Random Sample: Each member of the entire population has an equal chance of being selected.Simple Random Sample: You can select groups of size n from the entire population, and every possible group has the same chance of being selected.Example: Consider a box with 100 marbles.Random Sample: Reach in and select one marble. Each marble has the same chance of being selected.Simple Random Sample: Reach in and select marbles in groups of 6 (n = 6). No matter how many times you do this, every possible group of six marbles has the same chance of being selected. If you then try selecting groups of 17 (n = 17) marbles, you will also find that every possible group of 17 marbles has an equal chance of being selected.Random, but not Simple Random: For the Presidential Election, lets say you select a random sample of all voting precincts in your state, then interview *all the voters as they leave the polling place. The sample is random because all precincts have an equal chance of being selected. The sample is not simple random, because those voters from precincts that were *not* selected have no chance of being interviewed. This is also known as a Cluster Sample.There is no such thing as a sample that is "Simple Random, but not Random" because n can also equal a sample of size 1.

What is the entire group that the researcher is studying?

The entire group that the researcher is interested in is called the population or the target population.

Does A dotted border around an object indicates that the entire object is selected?