Answer:
resource allocator
Explanation:
Resource allocator -
In the field of economics , the process of assigning the various resources into their uses , is the task performed by a resource allocator .
The process of deciding , organising the resources , the monetary value , Scheduling the various activities and assigning task of all the employees and duration of project , allotment of project , is the task of a resource allocator .
Hence , from the given information of the question ,
The correct answer is Resource allocator .
Answer:Both Is the evidence sufficient to support the speaker's claims? and Is the evidence relevant to the speaker's claims?
Explanation:
Before one can make a claim there should be enough evidence to support that claim otherwise it could sound just like their own opinion or views on the matter that they are discussing .
Sufficient claim can or will give viewers or listeners the factual information about what one is claiming which may make persuasion more effective .
People are more likely to believe something and be convinced about it as long as there is sufficient evidence to support it and they can see how the evidence is linked or related to the claim .
Otherwise if the evidence doesn't relate to the claim then it can not be taken as an evidence for that particular claim and people can easily dismiss that claim.
The answer to this is A price fixing.
Price fixing is where sellers agree to sell a certain product around the same price.
-Seth
In an attempt to reduce the likelihood of a type ii error, the experimenter proposes to recruit a very large group of participants.
In statistical hypothesis testing, a Type I error is actually an incorrect rejection of the true null hypothesis (a.k.a. a "false positive" result or conclusion; e.g., "Innocent person convicted ing"). Rejection of one actually false null hypothesis (also called a "false negative" result or conclusion, e.g. "guilty party not convicted").
Many statistical theories revolve around minimizing one or both of these errors, but unless the outcome is determined by a known and observable causal process, either of these errors can be completely quantified. It is statistically impossible to eliminate You can improve the quality of the hypothesis test by choosing a lower threshold (cutoff) and changing the alpha (α) level. Knowledge of type I and type II errors is widely used in medicine, biometrics, and computer science.
Learn more about type ii error here:
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First, they are reaped and brought to a dealer which is then packaged and shipped via truck or airplane to many countries around the world. Hope this helps!
