The larger the standard deviation of difference scores:

false
false
the larger the value of t.
true
the smaller the value of t.
The standard deviation of the difference scores when divided by the
square root of n is the standard error of the mean difference (SEM). The SEM is in the
denominator of the t test, so the smaller the standard deviation, the larger the t.
The larger the correlation between conditons:

false
false
the larger the standard deviation of the difference scores.
true
the smaller the standard deviation of the difference scores.
The variance sum law indicaates that the higher the correlation, the smaller the variance (and standard deviation) of differences.