Sample Size, Sample Error, and Sum of Squares

On average, what value is expected for the t statistic when the null hypothesis is true?
*1
*1.96
*0 (?)
*t>1.96

What is the sample varianceand the estimated standard errorfor a sample of n=9 scores with SS= 72?
*s2=3 and sM=3
*s2 and sM= 1
*s2=9 and sM=3 (?)
*s2=3 and sM=1

Which set of characteristics will produce the smallest value for the estimated standard error?
*A large sample size and a small sample variance
*A large sample size and a large sample variance
*A sample sample size and a large sample variance
*A small sample size and a small sample variance (?)

A researcher conducts a hypothesis testusing a sample from an unknown population. If the t statistic has df=30, how many individuals were in the sample?
*n=30
*cannot be determined from the information given
*n=29 (?)
*n=31

When n is small (less than 30) how does the shape of the t distribution compare to the normal distribution?
* It is taller and narrower than the normal distribution
* It is almost perfectly normal
*There is no consistent relationship between the t distribution and the normal distribution.
*It is flatter and more spread out than the normal distribution . (?)

With o= .01, the two tailed critical region for a t test using a sample of n=16 subjects would have boundaries of :
*t= ±2.602
*t= ± 2.921
*t=± 2.947
*t= ± 2.583

On average, what value is expected for the t statistic when the null hypothesis is true?
choose 0

What is the sample variance and the estimated standard error for a sample of n=9 scores with SS= 72?
choose s2=9 and sM=3 …

The solution gives detailed steps on discussing the relationship between sample size, sample error, and sum of squares.