Step 1 :The binomial distribution is defined by two parameters: the number of trials (n) and the probability of success in a single trial (p). In this case, the number of trials is the number of adult Americans surveyed (n=500) and the probability of success is the percentage of adult Americans who operate the flusher of toilets in public restrooms with their foot (p=0.64).
Step 2 :The shape of a binomial distribution is determined by the values of n and p. If n is large and p is not too close to 0 or 1, the distribution will be approximately normal.
Step 3 :The mean of a binomial distribution is given by the formula \(\mu = np\). Substituting the given values, we get \(\mu = 500 * 0.64 = 320\).
Step 4 :The standard deviation of a binomial distribution is given by the formula \(\sigma = \sqrt{np(1-p)}\). Substituting the given values, we get \(\sigma = \sqrt{500 * 0.64 * (1 - 0.64)} = 10.733\), rounded to three decimal places.
Step 5 :Final Answer: The shape of the binomial probability distribution is approximately normal because n is large and p is not too close to 0 or 1. The mean of the binomial probability distribution is \(\boxed{320}\) adults who flush with their foot. The standard deviation of the binomial probability distribution is \(\boxed{10.733}\) adults who flush with their foot.