Question

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

Answer #1

**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.**

The correct answer is **Option
(a): True.**

A between subject experimental designs are an experimental approach which have the four characteristics of an experiment:

- An independent variable is manipulated to create at least two treatment conditions
- A dependent variable is measured within each treatment condition
- The scores measured in each condition are compared
- All other (extraneous) variables are controlled

An experimental design where one
group of individuals in one treatment condition is compared to
another group of individuals in a different treatment condtion is
called a **between-subjects experimental design.**

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...

TRUE / FALSE to the questions below
1.
We would diagram a one-shot design as follows:
X O1.
2.
A typical quasi-experimental design might be diagrammed like
this:
Experimental
group
R X O1
Control
group
R O2
3. It is not possible to assess the effects of more than
one independent variable in a single
experiment.

The
question concerning Layout the design for two between subject
experiment involving an experimental group and a control group, and
(b) a factorial design with three independent variables that have
3, 2, and 2 levels respectively. Where did the expert got his
reference from?

When each subject participates in all the levels of the
independent variable it is called a
_______ design, but
if there are different subjects in each level of the independent
variable,
it is called a
_______ design.
Select one:
a. within-subjects; mixed
b. between-subjects; factorial
c. mixed; independent-group
d. within-subjects; between-subjects

The
t statistic compares two groups on one independent variable that
has two levels. We can use the t statistic to compare a sample that
has a level of an independent variable, or we can use two samples
from the same populations and give them two different levels of an
independent variable. You will design a two group study with one
independent variable for this question. Choose an independent
variable that has two levels. The two levels can be 1.)...

Choose a question/problem you are interested in, come up with a
testable hypothesis, and design a simple experiment to help answer
this question. In your design, address the following:
1. What is your hypothesis? People infected
with COVID 19 recover at a faster rate when given an injection of
remdesivir than those that receive no injection or
hydroxychloroquine.
2. Identify the following:
a. Independent variable – what variable are you
manipulating
b. Dependent variables – what are you
measuring; what...

No explanation required;
Question 1
A two-independent-sample t-test is computed when mean
differences are compared between TWO OR MORE groups sampled from a
population with an unknown variance.
Select one:
True
False
Q 2
Question 2
A counselor records the number of disagreements (per
session) among couples during group counseling sessions. If the
number of disagreements is distributed normally with a mean of 4.4
disagreements and a standard deviation of 0.4, then what proportion
of couples disagree at least four...

This semester we have discussed the following statistical
analyses.
Z-test
One-Sample
t-test
Independent Groups
t-test
Repeated Measures t-test
One-Way ANOVA
Repeated Measures ANOVA
Correlation
Fill in the table with the correct defining term.
? is given
µ is given
Groups Compared
Test Used
No
No
Looks at the same group at 2 different times or across two
different conditions
Yes
Yes
Sample against population
X
X
Examines the degree to which two variables relate to one
another...

The null hypothesis is the prediction that there are no
differences between the mean of the population and the mean of your
sample. Question 1 options: True False Save Question 2 (1 point)
The hypothesis that your sample mean is significantly different
from the population mean is called the Alternative hypothesis or
_________________. Question 2 options: a) Null hypothesis b)
Research Hypothesis c) One-Tailed Test d) Two-Tailed test Save
Question 3 (1 point) If you are running a test to...

Discuss the differences between flow versus stock
statistics. Explain the situations when one is more
appropriate than the other. What type of data are
required for each of these two statistical methods in looking at
discrimination?

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