Step 1 :The mean of a binomial distribution is given by \(\mu = np\). Substituting the given values, we get \(\mu = 121 \times 0.52 = 62.92\), which rounds to 63.
Step 2 :The variance of a binomial distribution is given by \(\sigma^2 = np(1-p)\). Substituting the given values, we get \(\sigma^2 = 121 \times 0.52 \times (1-0.52) = 29.9264\), which rounds to 29.9.
Step 3 :The standard deviation of a binomial distribution is the square root of the variance. So, \(\sigma = \sqrt{\sigma^2} = \sqrt{29.9264} = 5.47\), which rounds to 5.5.
Step 4 :Thus, the mean is \(\boxed{63}\), the variance is \(\boxed{29.9}\), and the standard deviation is \(\boxed{5.5}\).