Sounds like the common legnths that work
aka pythagorean tripples so
3,4,5 is one of them
therefor we know that
6,8,10 is another since we just multiplied them all by 2
there are some that aren't multiplules like
5,12,13
these are just some
Answer:
A1)
Stratified sampling: Here, sampling is performed on element within each stratum( the European store and the United States store. Therefore, The technique of randomly selecting 1,000 employees from a list of all employees at the United States stores and 600 employees form a list of all employees at the European stores is a stratified sampling.
A 11)
Cluster sampling :
It involves dividing total population into groups, which should be a representation of the total population and each identified cluster is treated as a sampling unit, by randomly selecting 8 stores from 800, we have chosen 8 clusters, and all samples in the 8 clusters being sampled signals a single stage cluster design.
B) Advantage : stratified sampling usually saves cost as it encourages a small subset of the population while also encougung representativeness.
Disadvantage : It requires that the experimenter has prior knowledge of the population before being able to group into stratums
Step-by-step explanation:
The distance between the coordinates (0, 4) and (10,4) is 10
Step-by-step explanation:
We need to find the distance between the coordinates (0, 4) and (10,4)
The formula used to find distance is:

where

Putting values:

So, The distance between the coordinates (0, 4) and (10,4) is 10
Keywords: Distance between coordinates
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