It means that there is a probability of 0.0968 that an observation as extreme as this occurred purely by chance.
The probability is 0.4448, approx.
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.
A negative deviation means that the observation is smaller than whatever it is that the deviation is being measured from.
From a probability perspective fair means equal probability.
The observation is more than 250 standard deviations (SD) away from the mean. For a normal distribution, the probability of being more than 3 SD from the mean is 0.0027 so the probability of an observation being 250 SD from the mean is infinitesimally small.
It means that there is a probability of 0.0968 that an observation as extreme as this occurred purely by chance.
The probability is 0.4448, approx.
A very high probability if your numbers are greater than 78.
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.
You need a lot more information on the rating scale being used.
It could refer to four standard errors. If an observation from a Gaussian (normal) distribution is 4 standard errors away from the mean, it has an extremely low probability.
It is a probability distribution in which the probability of the random variable being in any interval on one side of the mean (expected value) is the same as for the equivalent interval on the other side of the mean.
The answer depends on what you mean by "do". Does it mean calculate individually, calculate the probability of either one or the other (or both), calculate the probability of both, calculate some function of both (for example the sum of two dice being rolled)?
casual observation
Even if I assume that you mean probability and not probility, the question cannot be answered since there is no information as to what is being rolled. For a normal tetrahedral die, the answer is 1.
Even if I assume that you mean probability and not probility, the question cannot be answered since there is no information as to what is being rolled. For a normal tetrahedral die, the answer is 1.