In baseball, a player's batting average is the proportion of times that the player gets a hit out of

his total number of times at bat. Suppose we select a Major League Baseball player at random.

The random variable X= the player's batting average can be modeled by a normal distribution

with mean y = 0.261 and standard deviation o = 0.034. Use the 68–95-99.7 rule to approximate:

(a) The probability that a randomly selected player has a batting average greater than 0.329
(b) P(0.193 = X = 0.295)