ANS: Fiber length and fiber strength are the two examples of continuous random variable. Number of fibers in yarn cross-section, number of holes in a knitwear are the two examples of discrete random variable.

ANS: While calculation of statistical characteristics of a grouped data the different values that fall in a certain class are considered to be numerically same as the middle value of that class and this makes the results different.

ANS: The probability and relative frequency possess the same value. Relative frequency is interpreted as ex post, while probability is interpreted as ex ante.

ANS: Yes, the normal distribution is described by two parameters, namely, mean and standard deviation.

ANS: By using goodness-of-fit tests (objectively) and probability plot (subjectively), one can conclude this.

ANS: Yes, a binomial distribution with probability approaching to zero and number of samples approaching to infinity limits to a Poission distribution.