The life of a married woman was limited because the woman were not able to be with other men, and they were usually supposed to produce offspring, so when some weren't able, many viewed them as worthless. The woman was also supposed to take care of the house while the husband went working, and they were to obey the husbands orders.
(this is more like historic times but i was guessing this was the time you were talking about. If not, ill change my answer)
<em>Thank you :)</em>
Answer:
Predestination is the belief that the fate of one's soul is predetermined before they are born.
the answer is D. All of the above
There is the bully. These people may be bullying the person right in front of them or behind their backs. They are the main abuser.
There is the one who is being bullied. These people are being picked on and abused. They do not fight back, if someone does fight back it's not necessarily bullying. They are the main victim.
There is the assister. These people don't start the bullying but they also bully the victim. They could encourage it or join it.
There are the reinforcements. They don't directly get involved with bullying, but are like an audience. They support the bully and cheer them on.
There are the outsiders. They stay away from the situation and do not defend the victim or support the bully.
There are the defenders. They come to the victim's defense and speak up for them, comfort them. They support the one who is being abused.
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:
brainly.com/question/16012410
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