The first picture represents the elements in B that are not (also) in A. So, we want the set difference of B and A:
For the second picture, we can work like this: if we take all the elements belonging to A, we only need to add the bottom-right part, which is the intersection of B and C. So, we can express the blue part as
The answer is ten times the value
Answer:
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Step-by-step explanation:
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Answer:
A. Simple Random Sampling
B. Cluster Sampling
C. Convenience Sampling
D. Systematic Sampling
E. Stratified Sampling
Step-by-step explanation:
Simple Random Sampling is the sampling when samples are chosen randomly, where each unit has an equal chance of being selected in a sample.
If the population is divided into a different group called cluster and clusters are selected as a sample then it is Cluster Sampling.
In Convenience sampling, observers collect the sample as his\her convenience.
In Systematic Sampling sample is chosen by some criteria like he\she is taken every 10th unit as a sample from the population.
In Stratified Sampling population is divided into several groups such that within the group it is homogeneous and between the group it is heterogeneous. And now a selection of each stratum and unit has an equal chance of selection.
