Question

Which of the following are assumptions for the independent-measures t formula for hypothesis testing?

1) The observations within each sample must be independent

2) The two populations from which the samples are selected must be normal

3) The two populations from which the samples are selected must be have equal variances

4) All of the above

Answer #1

**Note:** Following are three assumptions for the
intepedent-measures t formula for hypothesis testing.

There are three assumptions that should be satisfied before you use the independent measures t formula for

hypothesis testing:

i) The observations within each sample must be independent .

ii) The two populations from which the samples are selected must be normal.

iii) To justify using the pooled variance, the two populations from which the samples are selected must have equal variances.

Therefore, answer is,

**4) All of the above**

Which of the following is not an assumption underlying the
independent-measures t formula for hypothesis testing?
The observations within each sample must be independent.
The two populations from which the samples are selected must be
normal.
The two samples must have equal sample sizes.
The two populations from which the samples are selected must
have equal variances.

1. Which effect size measure should be used if the researcher
wants to understand how much variability is explained by the
treatment?
Cohen's d
any of these
r-squared
a confidence interval
2.
Which of the follow is NOT an assumption of the independent
samples t-test?
Group of answer choices
The observations within each sample must be independent
The populations from which the samples are drawn must be
normal
The populations from which the samples are drawn must have equal
variances...

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Write one assumption. (from the following)
Each population from which a sample is taken is assumed to be
uniform.
Each sample is assumed to be
uniform.
Each population from which a sample is taken is assumed to be
normal.
Each sample is assumed to be normal.
B) There are five basic assumptions that must be fulfilled...

26. Consider the following statements.
(i). If we are testing for the difference between two population
means, it is assumed that the sample observations from one
population are independent of the sample observations from the
other population.
(ii). If we are testing for the difference between two
population means, it is assumed that the two populations are
approximately normal and have equal variances.
(iii). The critical value of t for a two-tail test of the
difference of two means, a...

T F 1. A p-value of .008 in hypothesis testing means there is
only a .8% chance we could get such sample statistics from the
population if the null hypothesis is as stated. Such an event is
considered unlikely and we would reject the null hypothesis.
T F 2. As a general rule in hypothesis testing, it is always
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less-than orientation.
_____3. If the level of significance is .02...

What conditions are necessary in order to use the dependent
samples t-test for the mean of the difference of two populations?
Choose the correct answer below.
A.
Each sample must be randomly selected from any population and
the two samples must be independent.
B.
Each sample must be randomly selected from any population and
each member of the first sample must be paired with a member of the
second sample.
C.
Each sample must be randomly selected from a normal...

1) A researcher is running an experiment on the effectiveness of
three different energy drinks. She randomly selects 60 individuals
from the population and evenly splits them into three groups, each
of which consumes a different energy drink.
a. The null hypothesis for this test is that at least one of the
three groups will be different. True or False?
The statistical results of the test are as follows: F(2, 47) =
6.24, p < .05.
b. In the above...

The alternative hypothesis (H1) for an independent
measures study states the 2 samples come from populations that have
different means.
True
False

49. Which analysis should the experimenter conduct to test the
hypothesis?
Z test
Repeated Measures T test
Single Sample T test
Independent samples T test

In simple linear regression analysis which of the following
assumptions must be met in order to ensure valid conclusions?
* The variances for each X are independent of each other.
* the variance of X is equal to the variance of Y
* All of these statements are true.
* The X variable and the Y variable each have histograms that
are normal
* X is linearly related to Y

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