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....

Setting the significance level cutoff at .10 instead of the more
usual .05 increases the likelihood of A. a Type I error. B.
accepting the null hypothesis when, in fact, it is false. C. a Type
II error. D. failing to reject the null hypothesis.

"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,...

For this discussion board, come up with an example of a
hypothesis test that could be conducted. State the null and
alternative hpothesis. Then state what it would mean to have a type
I vs. a type II error in the given situation. Explain which you
think is "worse" given the circumstances. An example is given below
using "the boy who cried wolf":
Null hypothesis: Wolf is not present
Alternative hypothesis: Wolf is present
Type I error: The boy cries...

A "sleep habits" survey answered by 46 randomly selected New
Yorkers contained the question "How much sleep do you get per
night?" The sample average was 7.8 hours, with a corresponding
sample standard deviation of 0.82 hours. We want to test against
the null hypothesis that New Yorkers get, on average, 8 hours of
sleep per night. α=0.05.
a. This null hypothesis should be formally written as: (You have
two attempts at this question.)
H0: μdifference = 8
H0: μ...

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...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 12 minutes ago

asked 19 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 2 hours ago

asked 2 hours ago

asked 3 hours ago

asked 3 hours ago