Answer:
B. No fallacy
Explanation:
First of, we need to know what a fallacy is. A fallacy is a mistaken belief, especially one based on unsound arguments.
A sound argument is an argument in which the truth in the premises are used to deduce the conclusions. While an unsound argument, makes use of premises that are not true.
With these, we can determine if the argument in the question was a sound argument. If it was, it won't be fallacious.
There is truth in the fact that the slim tea made Barbara loose 15 pounds after taking it for the stated period of time.
Therefore, concluding that someone with the same buildup as Barbara will have the same results, after taking the tea for the same period of time, is logical and not fallacious. This is because the premise is a true fact that has been tested, and the conclusion was drawn from the true premise.
This makes the argument a sound argument, with no fallacy
Dictatorship I think Im not sure
This small group is the "chronic 6%," a term used to refer to Chronic Juvenile/Delinquent Offenders.
What characterizes these juveniles is that they do not typically "grow out" of criminal behavior. Rather, they continue as adults. Out of all delinquent conduct, a large number of offences is attributed to these youths.
The term "chronic" in this context means that they repeatedly break the law over a long period of time.
<span>Kingdom, </span><span>Phylum, </span><span>Class, </span><span>Order, </span><span>Family, </span><span>Genus, and </span><span>Species are the six kingdoms of life.</span>
Feature net model is for word recognition, recognition by components model is object recognition. Face recognition - its holistic, not component based.
At the start proposed by using Selfridge (1959) (as the “pandemonium version”), feature nets are a idea of popularity and image constancy in Human perception. function nets endorse that recognition relies upon on a community of “detectors,” prepared in layers of growing granularity.
What is the feature nets speculation?
Feature nets speculation. One opportunity for expertise how the visual device acknowledges phrases is through a device called a feature nets. The initial layer, at the bottom, contains detectors for features. Subsequent layers hit upon greater complicated patterns like letters, and then phrases.
Which of the subsequent is a bonus of a feature nets?
Feature nets are able to explaining accurate performance, however not errors. The interactive nature of feature nets normally lets in us to pick out stimuli, but can also result in errors.
Learn more about feature nets here:- brainly.com/question/3733655
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