CALC.expondist(x, lambda, cumulative)
CALC.binomdist(number_s, trials, probability_s, cumulative)
CALC.expondist(x, lambda, cumulative)
CALC.forecast(x, known_y_values, known_x_values)
CALC.frequency(data_array, bins_array)
CALC.hypgeomdist(sample_s, number_sample, population_s, number_population)
CALC.intercept(arrayY, arrayX)
CALC.negbinomdist(number_f, number_s, probability_s)
CALC.percentrank(array, x, significance)
CALC.permut(number, number_chosen)
CALC.poisson(x, mean, cumulative)
CALC.prob(arrayx, arrayprob, lower_limit, upper_limit)
CALC.rank(number, array, order)
CALC.rsq(known_y_values, known_x_values)
Returns the exponential distribution. Use this function to model the time between events. X is the value of the function. Lambda is the parameter value. Cumulative is a logical value that indicates which form of the exponential function to provide. If Cumulative is true, the function returns the cumulative distribution function; if false, it returns the probability density function
Example
CALC.expondist(0.2, 10, true);
// returns 0.864665
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