SAMPLE #1
What is a population sample? A population sample is when you don’t
survey the entire population and instead just survey some of the population.
There are three main types of sampling.
To begin with, there is biased sampling. This is when the group of
people you survey are all very similar. For example, if you asked everyone
in the math club if they liked math, just about all of them would most
likely say yes. This way of surveying is apparently not a very effective way
of surveying.
Next, there is a convenience sample. This is when you sample the
population that is readily available. This method is more accurate than the
biased sampling but is worse than random sampling.
The best way of sampling is random sampling. Random sampling is best
because every member of the population has an equal chance of being chosen.
With in random sampling, there are three branches: cluster, stratified, and
systematic.
Cluster sampling is when you randomly pick a group then you survey
every member of the group. For example, you would pick a random class such
as science.
Next you would survey everyone in the class.
Also, there is stratified sampling. Stratified sampling is when you
randomly pick people of one group and pick the same amount of people in
another group. For example, you could pick ten people above the age of
twelve and ten people under the age of twelve.
Last, there is systematic sampling. An example of systematic
sampling is you survey every eighth person on the list of seventh graders.
Another example is every fourth person in pod 704.
In short, sampling is a way to survey when surveying the entire
population is practically impossible. Sampling can be beneficial in many
ways.
SAMPLE #2
Sampling is the collecting of data by questioning. There are 3 types of
sampling. You have convenience sampling, random sampling, and biased sampling.
Convenience sampling is sampling someone who is readily available. For
example; me asking a question to someone who sits directly in front of me is
convenience sampling because they are right in front of me and are available.
A biased sample is simply where everyone didn’t have a fair chance at
answering a question. You could also say it’s like an unfair choice of people
to answer something. An example is me asking all my friends whether or not
they like my shirt, because I already have an idea of what they will say. The
answers would all most like be positive since they are my friends.
Random sampling is asking random people, anyone, a survey question. There
are 3 types of random sampling. There is stratified, cluster, and systematic.
Systematic samplings are randomly sampling using a pattern. For example; you
could ask every 5th person in a roller coaster line at six flags what is their
favorite ride. Cluster sampling is when you make groups out of a population,
pick randomly from the groups and use everyone from the groups you chose to
answer a question. As an example take 4 homerooms and randomly chose one and
use everyone in that homeroom.
Stratified sampling is when you make up a system where you make small groups
then ask your question. For example; a group could be 3 boys and you could
use 3 girls and they could count as small groups. This could lead to being
biased because the question could mainly apply to that particular group.
