Question

You complete a hypothesis test using *a* = .05, and based
on the evidence from the sample, your decision is to reject the
null hypothesis. If the treatment actually has no effect, which of
the following is true?

Group of answer choices

You have made a Type I error.

You have made a Type II error.

You might have made a Type I error, but the probability is only 5% at most.

You have made the correct decision.

For a repeated-measures study, as the sample mean difference increases, the likelihood of rejecting the null hypothesis also increases.

Group of answer choices

True

False

Answer #1

You complete a hypothesis test using a = .05, and based on the evidence from the sample, your decision is to reject the null hypothesis. If the treatment actually has no effect.

That means we are rejecting null when it is true...

So we have made a type I error(Ans)

For a repeated-measures study, as the sample mean difference increases, the likelihood of rejecting the null hypothesis also increases.

This is true(ans)

Reason-as sample mean difference increases that is tending to rejection region as value of test statistic increases.....

1. Setting the significance level cutoff at .10
instead of the more usual .05 increases the likelihood of
a. a Type I error.
b. a Type II error.
c. failing to reject the null hypothesis.
d. accepting the null hypothesis when, in fact, it is false.
2. A Type I error is the result of
a. improper measurement techniques on the part of the
researcher.
b. failing to reject the null hypothesis when, in fact, it is
true.
c. incorrectly...

Suppose evidence is found to accept a null hypothesis. However,
you ignore this evidence and reject the null hypothesis anyway. You
have just made….
A. a correct decision
B. a new null hypothesis
C. a Type I Error
D. a Type II Error

1. Insofar as we must generalize from a sample to a population,
the observed difference between the sample mean and the
hypothesized population mean a) can't be interpreted at face value.
b) might be due to variability or chance. c) might be real. d) is
described by all of the above
2. The advantage of a one-tailed test is that it increases the
likelihood of detecting a a) false null hypothesis. b) false null
hypothesis in the direction of concern....

"There is no difference in the weight between rats fed low-fiber
diets and rats fed high fiber diets," is an example of a(n):
Group of answer choices
null hypothesis
alternative hypothesis
directional hypothesis
nondirectional hypothesis
Which of the following is an example of a nondirectional
research hypothesis?
Group of answer choices
There is a positive relationship between a high-fat diet and
weight gain.
There is a negative relationship between a high-fat diet and
weight gain.
There is a relationship between...

1.Type 1 error is...
a.Correctly rejecting the null hypothesis.
b.Rejecting the null hypothesis when it’s actually true.
c.Correctly failing to reject the null hypothesis.
d.Failing to reject the null hypothesis when it’s actually
false.
2.Power is defined as the probability of...
a.Correctly rejecting the null hypothesis.
b.Correctly failing to reject the null hypothesis.
c.Failing to reject the null hypothesis when it’s actually
false.
d.Rejecting the null hypothesis when it’s actually true.
3. From Study Example 1: Based on the sample,...

A two-tailed hypothesis test is being used to evaluate a
treatment effect with α = .05. If the sample data produce a z-score
statistic of z = -1.24, then what is the correct decision?
Reject the null hypothesis and conclude that the treatment has
no effect.
Reject the null hypothesis and conclude that the treatment has
an effect.
Fail to reject the null hypothesis and conclude that the
treatment has an effect.
Fail to reject the null hypothesis and conclude...

Identify the type I error and the type II error for a hypothesis
test of the indicated claim.
The percentage of
households with more than 1households with more than 1
pet
is
greater
than
sixtyfive percent
Identify the type I error. Choose the correct answer below.
A. Reject the null hypothesis that the percentage of
households with more than 1households with more than 1
pet is greater than 65 %
when it is actually true.
B.
Fail to reject the...

1. You have a two-tailed test. The t critical value is 2.36 and
the test statistic is 3.11. Assume the null hypothesis is true. The
result is (a) Type I error (b) Type II error (c) Correct
decision
2. You have a right-tailed test. The t critical value is 1.74
and the test statistic is 1.46. Assume the null hypothesis is true.
The result is (a)Type I error (b) Type II error (c) Correct
decision
3. You have a right-tailed...

A hypothesis test is completed and we have sufficient evidence
that a certain population mean is more than 200. Suppose that in
reality, the population mean is 200. Determine if a correct
decision has been made. If an error has been made, indicate which
type of error it is.
The decision was incorrect; a Type II error has been
committed.
The decision is incorrect; a Type I error has been
committed.
Correct decision has been made.
The decision was incorrect;...

research hypothesis stating the treatment effect in contrast to
the statement of null effect
alternative hypothesis
central limit theorem
sampling bias
two-tailed test
upper probability value allowed for rejecting the null
hypothesis
significance level
parameter
type 1 error
two-tailed test
drawing conclusions about a population from sample data
empirical data
inferential statistics
discrete distribution
random sampling
Assume that a new treatment for helping alcoholics isn't any
better than an old treatment. A researcher, who doesn't know this,
designs a study...

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