do you think chi-square' goodness-of-fit test will be suitable for this scenario? If so, why? If otherwise, why not? Sce

[answerhappygod]

do you think chi-square' goodness-of-fit test will be suitable
for this scenario? If so, why? If otherwise, why not?
Scenario: Suppose that a certain Major
League Baseball player claims the probability that he will get a
hit at any given time is 30 percent. The following table is a
frequency distribution of the number of hits per game over the last
100 games. Assume he has come to bat 4 times in each of the
games.
# of Hits: 0 , 1 , 2, 3 , 4
# of Games: 26 , 34 , 30 , 7 , 3
In other words, in 26 games he had 0 hits, in 34 games he had 1
hit, etc Does this distribution follows a binomial
distribution?