Question

Identify the type I error and the type II error that corresponds to the given hypothesis. The proportion of people who write with their left hand is equal to 0.26

Which of the following is a type I error?

A.Fail to reject the claim that the proportion of people who write with their left hand is 0.26 when the proportion is actually 0.26

B.Fail to reject the claim that the proportion of people who write with their left hand is 0.26 when the proportion is actually different from 0.26

C.Reject the claim that the proportion of people who write with their left hand is 0.26 when the proportion is actually 0.26

D.Reject the claim that the proportion of people who write with their left hand is 0.26 when the proportion is actually different from 0.26

Which of the following is a type II error?

A.Reject the claim that the proportion of people who write with their left hand is 0.26 when the proportion is actually different from 0.26

B. Fail to reject the claim that the proportion of people who write with their left hand is 0.26 when the proportion is actually different from 0.26

C.Reject the claim that the proportion of people who write with their left hand is 0.26 when the proportion is actually 0.26

D.Fail to reject the claim that the proportion of people who write with their left hand is 0.26 when the proportion is actually 0.26

Answer #1

Solution:

First we write the null and alternative hypothesis

Null H0: p = 0.26

Alternative H1 : p 0.26

Which of the following is a type I error?

**C.Reject the claim that the proportion of people who
write with their left hand is 0.26 when the proportion is actually
0.26**

Which of the following is a type II error?

**B. Fail to reject the claim that the proportion of
people who write with their left hand is 0.26 when the proportion
is actually different from 0.26.**

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

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...

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...

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...

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)...

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.

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:...

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...

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

Chapter 4, Section 4, Exercise 139-143
Type I and Type II Errors
In the situation below, describe what it means in that context to
make a Type I and Type II error.
Testing to see whether taking a vitamin supplement each day has
significant health benefits. There are no (known) harmful side
effects of the supplement.
Making a Type I error means:
People should not take any kind of vitamin supplements.
Fail to detect that the supplements are beneficial, when...

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 15 minutes ago

asked 15 minutes ago

asked 23 minutes ago

asked 29 minutes ago

asked 32 minutes ago

asked 41 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