Question

For an independent means t test, we calculate pooled variance for the distribution of scores from each population. Why do we do this?

Answer #1

Under the assumption of equal population
**variances**, the **pooled** sample
**variance** provides a higher precision estimate of
**variance** than the individual sample
**variances**. This higher precision can lead to
increased statistical power when **used** in
statistical tests that compare the populations, such as the
t-test.

However, if this assumption is violated, the pooled variance estimate may not be accurate, which would affect the accuracy of our test statistic and hence, the p-value.

Hit like please.

1) The standard t test for independent means should NOT
be used if the populations are highly __________ in opposite
directions.
2) For a study using a t test for independent means,
with any given total number of participants, power is greatest when
the participants are divided into __________ groups.
3)
In the formula “=
S2M1 +
S2M2,”
“S2M1”
represents
Group of answer choices
the variance of the difference scores for Population 1.
the estimated standard deviation of Population 1....

Why is it necessary to compute the pooled variance for a
two-samples t-test?

We want to test a claim about two independent population means.
How do we decide which distribution to use for our test
statistic?

What is the purpose of running a 2 sample t-test with pooled
versus unequal variance?
Why would the tests be equivalent for equal sample sizes?

What is the difference between a t test of independent means and
a t test of dependent means? Provide examples of when you would use
each type of t test.

Suppose that we want to test the null hypothesis that the mean
of population 1 is equal to the mean of population 2. We select a
random sample from population 1 and a random sample from population
2, and these two samples are independent. Circle the FALSE
statement.
A. We need to perform a two-sided test.
B. If we know the variance of each population, even if they are
different, we can use the Z test. That is, the test...

Independent-Samples t-Test
In a research project, researchers track the health and
cognitive functions of the elderly in the community. To examine any
possible gender differences in their sample, they want to see if
the females and the males differ significantly on the education
level (number of years of formal schooling). The researchers are
not predicting any direction in the possible gender differences so
the hypotheses should be non-directional. They would like to run a
two-tailed test with α = .10....

Generally, we compare two independent sample means via
independent two-sample t test. Is it possible to compare two
independent sample means using ANOVA? Please provide a explanation
and an example.

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...

when do we to use the pooled, non-pooled, or paired inference to
compare means of two populations. please be specific.

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 1 minute ago

asked 9 minutes ago

asked 13 minutes ago

asked 14 minutes ago

asked 15 minutes ago

asked 15 minutes ago

asked 20 minutes ago

asked 20 minutes ago

asked 21 minutes ago

asked 42 minutes ago

asked 51 minutes ago

asked 1 hour ago