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∙ 9y agoYou need a lot more information on the rating scale being used.
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∙ 9y agoUniform probability can refer to a discrete probability distribution for which each outcome has the same probability. For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).
Uniform probability can refer to a discrete probability distribution for which each outcome has the same probability. For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).
Confidence intervals represent a specific probability that the "true" mean of a data set falls within a given range. The given range is based off of the experimental mean.
The range of a function is the set of values that the function can take. In the context of probability and statistics, it is the difference between the maximum value and the minimum value that a variable can take.
Read the introduction to probability and probability measures at StatLect.com
Uniform probability can refer to a discrete probability distribution for which each outcome has the same probability. For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).
Uniform probability can refer to a discrete probability distribution for which each outcome has the same probability. For a continuous distribution, it requires that the probability of the outcome is directly proportional to the range of values in the desired outcome (compared to the total range).
Confidence intervals represent a specific probability that the "true" mean of a data set falls within a given range. The given range is based off of the experimental mean.
The range of a function is the set of values that the function can take. In the context of probability and statistics, it is the difference between the maximum value and the minimum value that a variable can take.
From a probability perspective fair means equal probability.
Read the introduction to probability and probability measures at StatLect.com
Suppose the probability density function is f(x), defined over a domain D Then the mean is E(X) = x*f(x) integrated with respect to x over D. Calculate E(X2) = x2*f(x) integrated with respect to x over D. Then Variance(X) = E(X2) - [E(X)]2 and Standard Deviation = sqrt(Variance).
It means multiply, Probaility of A and B means probability of A multiplied by probability of B.
The mean of a binomial probability distribution can be determined by multiplying the sample size times the probability of success.
ER stands for "Employee Range." The number indicates a range of the number of employees in a company. ER2, for example, indicates 500 to 999 employees.
AO rating mean Adults Only
The probability level for an outcome is the probability that the outcome was at least as extreme as the one that was observed.