Question

When we compute an independent-samples *t*-test, we are
looking to see if there are significant differences between the
means of two independent groups, each measured on a different level
of the independent variable.

True or False

When we compute a paired-samples *t*-test, we are looking
to see if there are significant differences between the means of
two independent groups, each measured on a different level of the
independent variable.

True or False

If the *p*-value is > than 0.05, the differences
between means is significant

True or False

Answer #1

a) When we compute an independent-samples *t*-test, we
are looking to see if there are significant differences between the
means of two independent groups, each measured on a different level
of the independent variable.

**This statement is True**.

b) When we compute a paired-samples *t*-test, we are
looking to see if there are significant differences between the
means of two independent groups, each measured on a different level
of the independent variable.

**This statement is False because for paired t test, the
samples should be dependent.**

c) If the *p*-value is > than 0.05, the differences
between means is significant.

**This statement is False because if p < 0.05 then the
differences between means is significant.**

Which of the following is true?
A. When the p-value is less than 0.05
for an independent samples t test, the 95% confidence
interval of the difference between groups will cross zero.
B. When the p-value is larger than
0.05 for any test, it means that the effect size is zero.
C. When the p value is larger than
0.05 for an independent samples t test, it means that
there are no significant differences between groups at the level of...

A between-subject design is used when we are interested in
looking at the differences between one group, with the dependent
variable measured two or more times, once after each independent
variable manipulation. Question 2 options
: a) True b) False

An independent t-test is used to test for:
Differences between means of groups containing different
entities when the sampling distribution is normal, the groups have
equal variances and data are at least interval.
Differences between means of groups containing different
entities when the data are not normally distributed or have unequal
variances.
Differences between means of groups containing the same entities
when the data are normally distributed, have equal variances and
data are at least interval.
Differences between means of...

Question 10.25 pts
If you are using SPSS to conduct a two independent samples
t-test, examining the impact of your independent variable of
"smoking status" (smoker vs. non-smoker) on your dependent variable
of "number of cavities reported in a 3 year period", the variable
of "number of cavities reported in a 3 year
period" would be your identified "Grouping
Variable" in the Independent Samples T-Test pop up
box.
True
False
Flag this Question
Question 20.25 pts
If SPSS reports a...

We are going to study the difference in means of two independent
samples. We assume the difference in mean between these two samples
6.0 (assuming: mu1=16 and mu2=10), and the standard deviation
(among all patients in two groups) is 10. Our hypothesis is H0: mu1
= mu2 vs Ha: mu1 not equal to mu2. To achieve a power of 80% to
test the difference of 6.0, how many patients in total should we
recruit? The significance level is 0.05, and...

discuss the differences between a one-sample z-test, one-sample
t-test, the independent samples t-test and the dependent samples
t-test. Specifically, under what circumstances would you conduct
each test and what type of information comes from a known/defined
population versus your sample data?

TRUE / FALSE ?
In the scope of our class, we use the t- distributions to
constrict confidence intervals for
1. Difference in 2 population proportions
2. Population mean of paired differences (2 dependent
samples)
3. Difference in 2 population means for independent samples

What is the difference between a t test for independent
samples and a t test for related (dependent) samples?
Give an example of when you would use each?

For questions 1 through 3 state the proper t-test (one
sample, paired samples, independent samples) that should be used to
evaluate the research question: (*Just state the test)
1) A developmental psychologist wants to determine if
a recently created computer training program can increase the
working memory ability of high-school students. A sample of 40
students are given the reverse digit span test at the beginning of
the school year and then again after 4 weeks of training. Are there...

Select the statement that is true.
The independent variable is only used in the independent t-test
and the dependent variable is only used in the dependent
t-test.
The independent t-test is never used in a calculation with more
than two groups or sets of data.
Independent means that the independent t-test is not related to
any other type of t-test.
The matched pairs t-test will usually have greater variance than
the independent t-test when using the same variables.

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