These basic assumptions of the statistical parameters are very important because the estimation of the statistical value is related to the sample, sample distribution and population.
Sir Ronald Fisher, the inventor of the "analysis of variance" method, explained the relationship between average, variance and normal distribution in that normal distribution has two important characteristics which are average and variance.
Average value would measure the bias of the estimator.