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A random sample is a sample drawn in such a way that every item in the population has an equal and independent chance of being included in the sample.
In real life, the ability to choose a random sample is dependent on the type of object being sampled: If the population is small and in a single place, say balls in an urn, you just pick a ball out of the urn. But say you want to choose a random sample of the people in a small town. This is far more problematic - you have to have a list of all the people, and then choose random items from the list. But you may not have access to that list. Please see the story of the Literary Digest Presidential Election Poll at the related link to appreciate the problem of a non-random sample.
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In polling what are random samples?
fg
Why are random samples hard to obtain?
Cus
When are two random samples dependent?
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
Why are random samples more representative of the population than other kinds of samples?
A 'random' sample - covers all age groups, genders, and other criteria. A 'targeted' sample might only cover a small part of the population.
Different types of random and non random sampling?
stratified sampling, in which the population is divided into classes, and random samples are taken from each class;cluster sampling, in which a unit of the sample is a group such as a household; andsystematic sampling, which refers to samples chosen by any system other than random selection.
In polling what are random samples?
fg
Will all random samples from a given population have the same mean?
Data from random samples will not always include the same values. Values are chosen randomly and they may or may not be the same. So means will vary among random samples.
Why are random samples hard to obtain?
Cus
When are two random samples independent?
z test
When are two random samples dependent?
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
Why are random samples more representative of the population than other kinds of samples?
A 'random' sample - covers all age groups, genders, and other criteria. A 'targeted' sample might only cover a small part of the population.
What type of sampling produces representative samples?
random sampling
How many simple random samples of size 5 can be selected from a population of size 35?
There are 324,632 possible samples.
Different types of random and non random sampling?
stratified sampling, in which the population is divided into classes, and random samples are taken from each class;cluster sampling, in which a unit of the sample is a group such as a household; andsystematic sampling, which refers to samples chosen by any system other than random selection.
How to take samples to Mexico?
Samples of what?
Samples are chosen in such a way that each member of the population has a known,though not necessarily equal, chance of being included in the sample?
Random samples
When are two samples dependent?
Two random samples are dependent if each data value in one sample can be paired with a corresponding data value in the other sample.
