Answer:
They can help to explain the relationship between the output and input variables.
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B are primary and C are secondary.
Answer:
a. Convenience
b. Random
c. Stratified
d. Systematic
Explanation:
Types of sampling:
The selection of sample is arbitrary and each member has an equal chance of selection.
This selection does not take probability of selection into account rather focuses on the convenience and proximity of the member for selection.
An ordered system is decided to choose the members for this sample.
This sampling plan divided the population into groups, called clusters. A cluster is then randomly selected from the selected population.
The members of the population are divided into groups, called strata. A random sample is drawn from each strata.
Answer:
Check the explanation
Explanation:
We can utilize the above algorithm with a little in modification. If in each of the iteration, we discover a node with no inward edges, then we we’re expected succeed in creating a topological ordering.
If in a number of iteration, it becomes apparent that each of the node has a minimum of one inward edge, then there must be a presence of cycle in the graph.
So our algorithm in finding the cycle is this: continually follow an edge into the node we’re presently at (which is by choosing the first one on the adjacency list of inward edges to decrease the running time).
Since the entire node has an inward edge, we can do this continually or constantly until we revisit a node v for the first time.
The set of nodes that we will come across among these two successive visits is a cycle (which is traversed in the reverse direction).
