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The cumulative frequency of a random variable X for the value x is the number of observations such that X ? x.
A constant is not supposed to change during program execution. A variable may change, in the sense that you assign a value, then another value, then another...A constant is not supposed to change during program execution. A variable may change, in the sense that you assign a value, then another value, then another...A constant is not supposed to change during program execution. A variable may change, in the sense that you assign a value, then another value, then another...A constant is not supposed to change during program execution. A variable may change, in the sense that you assign a value, then another value, then another...
The confidence interval consists of a central value and a margin of error around that value. If it is an X% confidence interval then there is a X% probability that the true value of the statistic in question lies inside the interval. Another way of looking at it is that if you took repeated samples and calculated the test statistic each time, you should expect X% of the test statistics to fall within the confidence interval.
Formula: % increase=[(new value - old value) / old value] x 100% % increase = (149-124) /124 x 100% = 20.16%
If a random variable X is distributed normally with probability distribution function p(x), then the expected value of X is E(X) = integral of x*p(x)dx evaluated over the whole of the real line.