It depends on where you live. I live in the UK where there are hundreds of speed cameras. They are easy to avoid if you know where they are and if you use a GPS to warn you of them. In the UK it is getting more difficult to speed without being caught but maybe that's a good thing.
Other countries will have different laws and different preventions in place.
The probability is 0.4448, approx.
Grab something that will prevent you from being sucked in. Also, keep your head above the water and swim diagonally to get out.
None of the above.
As an example, a person who is caught carrying tools typically used for burglary could be arrested for "intent".Added: The above is a fairly good example. It all depends on the time, location, and circumstances.
originally caught though it says apparently above it
True
civil rights marches and voter registration drives.
42
Yes, the uniform probability distribution is symmetric about the mode. Draw the sketch of the uniform probability distribution. If we say that the distribution is uniform, then we obtain the same constant for the continuous variable. * * * * * The uniform probability distribution is one in which the probability is the same throughout its domain, as stated above. By definition, then, there can be no value (or sub-domain) for which the probability is greater than elsewhere. In other words, a uniform probability distribution has no mode. The mode does not exist. The distribution cannot, therefore, be symmetric about something that does not exist.
This is a Binomial Probability; p=0.5, n=10 & x=7. Since you want the probability of exactly 7, in the related link calculator, after placing in the above values, P(x=7) = 0.1172 or 11.72%.
It would mean that the result was 2 standard deviations above the mean. Depending on the distribution of the variable, it may be possible to attach a probability to this, or more extreme, observations.It would mean that the result was 2 standard deviations above the mean. Depending on the distribution of the variable, it may be possible to attach a probability to this, or more extreme, observations.It would mean that the result was 2 standard deviations above the mean. Depending on the distribution of the variable, it may be possible to attach a probability to this, or more extreme, observations.It would mean that the result was 2 standard deviations above the mean. Depending on the distribution of the variable, it may be possible to attach a probability to this, or more extreme, observations.
3/13=0.23 or 23% or 12/52=0.23 or 23%