The sampling distribution of t differs from the sampling distribution of z in that _________.
a. there is only one sampling distribution of z (the normal distribution) for all N, while there are many sampling distributions for t, depending on sample size.
b. the sampling distribution of z is more narrow, except when N equals infinity.
c. the means of the two distributions are different
d. all of these
e. a and b
The sampling distribution of t _________.
a. gives all possible different t values of size N and the probability of getting each value if sampling is random from the null-hypothesis population
b. is defined as a probability distribution of the t values that would occur if all possible different samples of size N were drawn from the null hypothesis population
c. varies uniquely with N
d. all of these
e. a and b
The 99 confidence interval is defined as _________.
a. an interval such that we are 99 confident that the population value lies within the interval
b. an interval such that the probability is 0.99 that the interval contains the population value
c. an interval such that we can reject H0 at = 0.01
d. an interval such that we are 99 confident that the population value lies within the interval and an interval such that the probability is 0.99 that the interval contains the population value
The 95 confidence interval is defined as _________.
a. an interval such that we are 95 confident that the population value lies within the interval
b. an interval such that the probability is 0.95 that the interval contains the population value
c. an interval such that we can reject H0 at = 0.05
d. a and b
Confidence limits are defined as _________.
a. the highest and lowest score in the sample set of scores
b. the values that lie outside of the confidence interval
c. the values that bound the confidence interval
d. the values that lie within the confidence interval
Confidence interval is defined as _________.
a. a range of values that probably contains the population value
b. a range of values that probably contains the population mean
c. a range of values that probably contain the population standard deviation
d. all of these
Which of the following are not characteristics of the t distribution?
a. has a mean = 0.
b. has a standard deviation greater than 1.00 for df less than infinity.
c. varies with df.
d. has no negative values.
e. all of these are characteristics of the t distribution.
If r = 0.84 and N = 5, the value of tobt for the test of the significance of r is _________.
a. 1.96 c. 2.68
b. 2.40 d. 3.46
For N = 20, the degrees of freedom for the test of the significance of the correlation coefficient (r) is _________.
a. 20 c. 19
b. 21 d. 18
The sample mean is an example of _________.
a. interval estimation c. confidence point
b. point estimation d. confidence numbers
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