Question

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 null hypothesis that the percentage of

households with more than 1households with more than 1

pet

is

greater

than

65 %

when it is actually

false

c.

Reject the null hypothesis that the percentage of

households with more than 1households with more than 1

pet

is

less thanless than

or equal toor equal to

65%

when it is actually true.

Fail to reject the null hypothesis that the percentage of

households with more than 1households with more than 1

pet

is

less than less than

or equal to or equal to

65%

when it is actually false.

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

A. fail to reject the null hypothesis that the percentage of households with more than 1 pet is greater than 65% when it is actually false.

B. reject the null hypothesis that the percentage of households with more than 1 pet is greater than 65% when it is actually true

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

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

#37

Answer #1

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...

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)...

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,...

An engineer is designing an experiment to test if airplane
engines are faulty and unsafe to fly. The engineer expects 0.0001%
of engines to be unsafe. The null hypothesis is that the
probability of an unsafe engine is less than or equal to 0.1% and
the alternative hypothesis is that the probability the engine is
unsafe is greater than 0.1%. We consider two types of errors in the
hypothesis testing: a Type I error and Type II error. A Type...

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

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...

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

(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...

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