If a hypothesis says it should be positive, but in fact, it is negative, we call it __________ A. A consistent hypothesis B. A false negative hypothesis C. A false positive hypothesis D. A specialized hypothesis

The correct answer is: B. A false negative hypothesis

A false negative hypothesis is a hypothesis that predicts a positive outcome, but the actual outcome is negative. This can happen for a number of reasons, such as a flawed study design, poor data collection, or statistical errors. False negative hypotheses can lead to incorrect conclusions and wasted resources.

A consistent hypothesis is a hypothesis that is always true, regardless of the evidence. This type of hypothesis is rarely useful, as

it does not provide any new information.

A false positive hypothesis is a hypothesis that predicts a negative outcome, but the actual outcome is positive. This can also happen for a number of reasons, such as a flawed study design, poor data collection, or statistical errors. False positive hypotheses can lead to unnecessary worry and anxiety.

A specialized hypothesis is a hypothesis that is only applicable to a specific situation or group of people. This type of hypothesis can be useful in some cases, but it is important to be aware of its limitations.