normal
8
normal
8
5 6 2 3 5 5 7 6 8 5 4 7 3 5 6
7 6 6 2 9 8 7 6 9 7 3 9 5 7 6
normal
8
normal
8
What would be Pearson's measure of skew for the following distribution: Mean = 50, Median = 60, and Variance = 100?

-3
0.0
3(50-60)/sqrt(100) = -3
What is the t for an independent-groups t-test for these data?

0
2
0.01
Compute the t for an independent-groups t test. If you are using
a program, make sure to recode the data as described. showCorrectAnswer
Using these data given, what is the t statistic using a correlated pairs t-test

2
2
0.02
3.162
Compute dependent t-test these two variables. In analysis lab, you can do a repeated-measures ANOVA and take the square root of F. t = 3.162
Consider a within-subject experimental design with 2 conditions. The experimenter ran both a correlated pairs t-test and (incorrectly) an independent samples t-test. The experimenter found the correlated pair t-test was significant whereas the independent samples test was not. The experimenter conlcuded that this was because the mean difference score across subjects was greater than the difference between the means of the conditions. Is this the correct conclusion?

The two mean differences are the same. The correlated t test controlled for differences between subjects and thus reduced the standard error of the difference between the two means
false
yes
true
no
Correlated pairs t-tests generally have more power than independent sample t-tests because the former usually have smaller standard errors of the difference between means making the t-value bigger.

By using each subject as its own control, the standard error is lower.
true
True
false
False
Increasing the correlation between measures:

All else being equal, the higher the correlation, the lower the standard error and therefore the higher the absolute value of t.
true
increases the absolute value of t.
false
decreases the absolute value of t.
false
has no effect on the t.
The null hypothesis in a correlated pairs t-test is that the population mean difference score is 0.

If the mean difference score is not 0, then the means of the two conditions will not be equal.
true
True
false
False