Question

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 to reject the null hypothesis that the percentage of households with more than 1households with more than 1 pet is less than 65% when the percentage is actually equal to 65%.

C.

Reject the null hypothesis that the percentage of households with more than 1households with more than 1

petpet

is equal to

65 %65%

when that percentage is actually equal to

65 %65%.

D.

Reject the null hypothesis that the percentage of

households with more than 1households with more than 1

petpet

is

lessless

thanthan

65 %65%

when that percentage is actually

lessless

thanthan

65 %65%.

Identify the type II error. Choose the correct answer below.

A.

Reject the null hypothesis that the percentage of

households with more than 1households with more than 1

petpet

is equal to

65 %65%

when the percentage is actually equal to

65 %65%.

B.

Fail to reject the null hypothesis that the percentage of

households with more than 1households with more than 1

petpet

is equal to

65 %65%

when that percentage is actually

lessless

thanthan

65 %65%.

C.

Reject the null hypothesis that the percentage of

households with more than 1households with more than 1

petpet

is

lessless

thanthan

65 %65%

when that percentage is actually

lessless

thanthan

65 %65%.

D.

Fail to reject the null hypothesis that the percentage of

households with more than 1households with more than 1

petpet

is

lessless

thanthan

65 %65%

when the percentage is actually equal to

65 %65%.

Answer #1

TOPIC:Type I error and Type II error in hypothesis testing.

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...

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.

Assume that a hypothesis test of the given claim will be
conducted. Identify the type I or type II error for the
test.
Question 7
A medical researcher claims that 6% of children suffer from a
certain disorder. Identify the type I error for the test.
Reject the claim that the percentage of children who suffer from
the disorder is equal to 6% when that percentage is actually
6%.
Fail to reject the claim that the percentage of children who...

Describe type I and type II errors for a hypothesis test of the
indicated claim. A shoe store claims that at least 80% of its new
customers will return to buy their next pair of shoes.
Describe the type I error. Choose the correct answer below:
a) A type I error will occur when the actual proportion of new
customers who return to buy their next pair of shoes is no more
than 0.80 but you reject H0: p≤0.80.
b)...

Identify the type I error and the type II error that corresponds
to the given hypothesis. The proportion of settled medical
malpractice suits is 0.34

For the given significance test, explain the meaning of a Type I
error, a Type II error, or a correct decision as specified. A
health insurer has determined that the "reasonable and customary"
fee for a certain medical procedure is $1200. They suspect that the
average fee charged by one particular clinic for this procedure is
higher than $1200. The insurer performs a significance test to
determine whether their suspicion is correct using α = 0.05. The
hypotheses are:
H0:...

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...

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...

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,...

Assume that a hypothesis test of the given claim will be
conducted. Identify the type I or type II error for the test.
The principal of a school claims that the percentage of students
at his school that come from single-parent homes is 11%. Identify
the type II error for the test.
Group of answer choices

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