If other factors are held constant, what is the effect of increasing the sample size?

If other factors are held constant, what is the effect of increasing the sample size?
 
  a. It will increase the estimated standard error and increase the likelihood of rejecting H0.
  b. It will increase the estimated standard error and decrease the likelihood of rejecting H0.
  c. It will decrease the estimated standard error and increase the likelihood of rejecting H0.
  d. It will decrease the estimated standard error and decrease the likelihood of rejecting H0.

Question 2

If other factors are held constant, which set of sample characteristics is most likely to produce a significant t statistic?
 
  a. n = 25 with s2 = 100 c. n = 100 with s2= 100
  b. n = 25 with s2= 400 d. n = 100 with s2= 400

Question 3

Two samples from the same population both have n = 10 scores with M = 45 . If the t statistic is computed for each sample, then what is the relationship between the two t values?
 
  a. The two t statistics will be identical.
  b. The sample with the larger variance will produce the larger t statistic.
  c. The sample with the smaller variance will produce the larger t statistic.
  d. There is no way to predict the relationship between the two t statistics.

Question 4

A hypothesis test produces a t statistic of t = 2.20 . If the researcher is using a two-tailed test with  = .05, how large does the sample have to be in order to reject the null hypothesis?
 
  a. At least n = 11 c. At least n = 13
  b. At least n = 12 d. At least n = 14