Question

Question 1 : The answers listed below are characteristics of a Type I error EXCEPT for one. Select the characteristic that is not for Type I error

a) upsetting status quo for falsehood

b) a 'missed opportunity'

c) reject null hypothesis with null is true

question 2: The answers listed below are characteristics of a Type II error EXCEPT for one. Select the characteristic that is not for Type II error

a) do not reject null hypothesis when it is false

b) a 'missed opportunity'

c) upsetting status quo for falsehood

Question 3: What type of error occurs if you fail to reject the null hypothesis when, in fact, it is not true?

a) either Type I or Type II, depending on whether the test is one tail or two tail

b) Type II

c) Type I

d) either Type I or Type II, depending on the level of significance

Question 4:

tcrit is to alpha as tstat is to _______

Answer #1

(1 point)
Type I error is:
A. Deciding the null hypothesis is true when it is
false
B. Deciding the alternative hypothesis is true
when it is false
C. Deciding the null hypothesis is false when it
is true
D. Deciding the alternative hypothesis is true
when it is true
E. All of the above
F. None of the above
Type II error is:
A. Deciding the null hypothesis is false when
it is true
B. Deciding the alternative hypothesis...

Regarding the definition of Type I and Type II error, which of
the following is correct?
A) Type I error: Fail to reject the null hypothesis when it is
actually false.
B) Type II error: Reject the null hypothesis when it is actually
true.
C) The probability of Type I error is equal to the significance
level.
D) Neither Type I error nor Type II error can be controlled by
the experimenter.

It is known that the status quo of the population mean is 88. A
sample of size 50 is taken and the sample mean is computed as 85.
You decided to reject the null hypothesis that the population mean
is at least 88 and to be in favor of the alternative hypothesis
that the population mean is less than 88.
Select one:
A. We may commit a Type II error if the null hypothesis
is false.
B. We may commit...

A Type I error occurs when __________ and its probability of
occuring is __________.
Select one:
a. we reject a true null hypothesis / alpha
b. we reject a true null hypothesis / 1 - alpha
c. we fail to reject a false null hypothesis / 1 - alpha
d. we fail to reject a false null hypothesis / alpha

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...

Which of the following sentences best characterizes the
relationship among Type 1 error, Type II error, Sample Size, and
the power of hypothesis testing?
hypothesis testing does not rely on sample size, Type I or Type
II error
Type I error is inflated as Type II error decreases, neither is
related to sample size
When the sample size is small, there is a higher chance of
committing a Type II error and decreased power to reject the null
hypothesis
When...

For the following problems, identify the hypotheses, define Type
I and Type II errors, and discuss the consequences of each error.
(When you set up the hypotheses, consider which is the hypothesis
you are ”trying to prove”, and that is your alternative. The null
hypothesis is then the status quo.)
a. The FDA judges the safety of new drugs. When faced with a new
drug, there are two possible decisions: approve the drug or
disapprove the drug.
b. You are...

1 The probability of type II error becomes bigger if the level
of significance is changed from 0.01 to 0.05.
True
False
2
Increasing the sample size reduces the probability of committing
a Type I and Type II simultaneously.
True
False
3
In testing a hypothesis about a population mean with an unknown
population standard deviation (σ ) the degrees of freedom
is used in the denominator of the test statistic.
True
False
4
When a researcher fails to reject...

Identify the type I error and the type II error that correspond
to the given hypothesis.
The percentage of households with more than 1households with
more than 1 pet is less than 65%.
Identify the type I error. Choose the correct answer below.
A.
Fail to reject the null hypothesis that the percentage of
households with more than 1 households with more than 1 pet is
equal to 65%
when that percentage is actually less than 65 %.
B.
Fail...

What type of error occurs if you fail to reject (aka "accept")
H0 when, in fact, it is not true?
Question 1 options:
For a given sample size in hypothesis testing,
Question 2 options:
Type II error will not be effected by Type I error.
the smaller the Type I error, the larger the Type II error will
be.
the smaller the Type I error, the smaller the Type II error will
be.
the sum of Type I and Type...

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