Adding anything to an additive identity results in the original thing. Here, ...
... [A] + [additive identity matrix] = [A] . . . . . . matrix A
The result is <u>matrix A</u>.
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The point of the additive identity is that it does not change anything when you add it.
The researchers could utilize a probability sample.
Meaning of a Probability Sample
Every member of a population must have an equal chance of being chosen for a study in order for a sample to be considered a probability sample, and the researcher must be aware of this likelihood. The most typical type of sampling used in public opinion research, election polling, and other studies whose findings will be generalized to a larger population is probability sampling in which probability samples are made use of.
Probability Sample as the Representative of Population Sample
Here, a sample that qualifies for a representative of the population the researchers are studying, must consist of members having equal chances to be chosen for the study. Thus, a probability sample is the best representative of their study population.
Learn more about probability sample here:
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Answer:
40% if whats left
Step-by-step explanation:
Answer:
2%
Step-by-step explanation:
15.7 is 2% of 785
Hope this helps :)
