Please help me as soon as possible.
Drawing a conclusion with too little data is known as . personal bias solid reasoning overgeneralization 2. Drawing a conclusion not based on the data is known as . personal bias solid reasoning overgeneralization illogical conclusion 3. What type of faulty reasoning does this statement reflect? "If my cookies burned in the oven and your cookies burned in the oven, that must mean that all cookies burn when baking in the oven." personal bias solid reasoning overgeneralization.

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12-11-2018
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Please help me as soon as possible.
Drawing a conclusion with too little data is known as . personal bias solid reasoning overgeneralization 2. Drawing a conclusion not based on the data is known as . personal bias solid reasoning overgeneralization illogical conclusion 3. What type of faulty reasoning does this statement reflect? "If my cookies burned in the oven and your cookies burned in the oven, that must mean that all cookies burn when baking in the oven." personal bias solid reasoning overgeneralization.

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couplekisssheer couplekisssheer · Answer 1 · 2018-11-21T19:11:00+01:00

1) Drawing a conclusion with too little data is known as Overgeneralization.

Overgeneralization: is a logical fallacy that occurs when a conclusion about a group is drawn from an unrepresentative sample.

2. Drawing a conclusion not based on the data is known as illogical conclusion.

Illogical conclusion: conclusion that does not follow from the premises.

3. What type of faulty reasoning does this statement reflect? "If my cookies burned in the oven and your cookies burned in the oven, that must mean that all cookies burn when baking in the oven." Overgeneralization.

Because the person is basing a conclusion with a very unrepresentative sample.

chibuikeumeh chibuikeumeh · Answer 2 · 2022-04-07T10:52:05+02:00

1) Drawing a conclusion with too little data is known as Over-generalization.

What is over-generalization?

Over-generalization is a cognitive distortion where a person applies something from one event to all other event.

It is a logical fallacy that occurs when a conclusion about a group is drawn from an unrepresentative sample.

2. Drawing a conclusion not based on the data is known as illogical conclusion.

3. The faulty reasoning in the statement is Over-generalization.

This conclusion is based on an unrepresentative sample, therefore, it is over-generalization.