Using statistics from the 2011 MLB season, there were 2419 total games played and 3053 total errors committed. This averages out to 1.26 errors committed each game.
mainly, but the wives can help the husbands but that didn't happen very often
People felt often terrified and scared in the blitz because they didn't know what was going to happen. They feltscaredterrifiedanxiousworried
Since your daughter-in-law is, by definition, the wife of your son, she is usually younger than you are. However, if your son marries a very much older woman ("old enough to be his mother") then she could be older than you. This does not happen often, but it can happen.
they train and go back to there original homes. they often might have other hobbies or they might have another job
You were killed. Often in front of everyone as a warning of what would happen if they too tried to escape
Analysis
Error bars are often used on graphs to show statistical comparisons.
often often
The error rate is less taht 1%. You should have your valves inspected often.
This could happen if two planchets got into the die together (there will be a matching error with the tails side but no heads). It would have to be examined by an expert to verify that it is an actual mint error. That will cost you about $40 for an official certification. I don't deal with error coins often, but would estimate that such a coin would bring $50 or so if certified.
Pregnancy happen very often due to unprotected sex which is what you had.
In statistics, there are two types of errors for hypothesis tests: Type 1 error and Type 2 error. Type 1 error is when the null hypothesis is rejected, but actually true. It is often called alpha. An example of Type 1 error would be a "false positive" for a disease. Type 2 error is when the null hypothesis is not rejected, but actually false. It is often called beta. An example of Type 2 error would be a "false negative" for a disease. Type 1 error and Type 2 error have an inverse relationship. The larger the Type 1 error is, the smaller the Type 2 error is. The smaller the Type 2 error is, the larger the Type 2 error is. Type 1 error and Type 2 error both can be reduced if the sample size is increased.
Error bars are often used on graphs to show statistical comparisons.
Error bars are often used on graphs to show statistical comparisons.
Experiments are often likely to contain errors. Quantitative error analysis means determining uncertainty, precision and error in quantitative measurements.
Experiments are often likely to contain errors. Quantitative error analysis means determining uncertainty, precision and error in quantitative measurements.
It is possible that an honest mistake could also be a human error, but those two phrases are not synonyms. An 'honest mistake' implies that the perpetrator did not realise that she/he was making a mistake; that she/he acted in good faith; and that there was no deliberate attempt to mislead or offend. It is most often used as a defence when the perpetrator is being criticised for having made the mistake. 'Human error' implies that a person made a slip, for example when copying some details from a written source into another document. It is likely to happen in any process where human action is involved. It is saying that human beings are fallible, so we should take it for granted that mistakes will happen. It is often built in to calculations; for example, when producing statistics you could say that your results are only reliable to within 10% to allow for human error.