What Is the Difference Between a T Test and ANOVA

What is the difference between a t test and ANOVA?

A) The t test determines whether two conditions are statistically different from each other, whereas ANOVA determines whether three or more conditions are statistically different from each other.
B) The t test determines whether three or more conditions are statistically different from each other, whereas ANOVA determines whether two conditions are statistically different from each other.
C) There is no difference.
D) The t test shows the strength of association between two sets of variables, whereas ANOVA shows the strength of the association between three or more sets of variables.