Question

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) A type I error will occur when the actual proportion of new customers who return to buy their next pair of shoes is at least 0.80, but you fail to reject H0: p≥0.80

c) 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 fail to reject H0 : p≤0.80.

d) A type I error will occur when the actual proportion of new customers who return to buy their next pair of shoes is at least 0.80, but you reject H0 : p≥0.80

Describe the type II error. Choose the correct answer below:

a) A type II error will occur when the actual proportion of new customers who return to buy their next pair of shoes is more than 0.80, but you reject H0 :p≤0.80

b)A type II error will occur when the actual proportion of new customers who return to buy their next pair of shoes is less than 0.80, but you fail to reject H0:p≥0.80.

c) A type II error will occur when the actual proportion of new customers who return to buy their next pair of shoe is less than 0.80, but you reject H0: p≤0.80.

d) A type II error will occur when the actual proportion of new customers who return to buy their next pair of shoes is more than 0.80, but you fail to reject H0: ps≥0.80.

Answer #1

Describe the type I error. Choose the correct answer below:

d) A type I error will occur when the actual proportion of new customers who return to buy their next pair of shoes is at least 0.80, but you reject H0 : p≥0.80

Describe the type II error. Choose the correct answer below:

b)A type II error will occur when the actual proportion of new customers who return to buy their next pair of shoes is less than 0.80, but you fail to reject H0:p≥0.80.

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 statement is correct? a. Type I errors
can only occur if you fail to reject H0. b. Type II errors can only
occur when you reject H0. c. When the sample size increases, both
the probability of making Type I errors and the probability of
making Type II errors can decrease. d. The level of significance is
the probability of making a Type II error.

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 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.

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:...

IF IN AN HYPOTHESIS TEST I FAIL TO REJECT Ho, WHAT TYPE
OF ERROR MIGHT I HAVE MADE.
A. TYPE I
B. TYPE II
C. TYPE 5
D. SUBTRACTION ERROR.

A hypothesis test will be performed to test the claim that a
population proportion is less than 0.70. A sample size of 400 and
significance level of 0.025 will be used. If p = 0.62, find the
probability of making a type II error, β.
Fill in the blanks below to
describe the sampling distribution of ??� assuming H0 is
true.
Mean =
Standard deviation =
Shape:
Sketch the sampling distribution
of ??�assuming H0 is true.
Specify the rejection region...

A hypothesis test will be performed to test the claim that a
population proportion is less than 0.70. A sample size of 400 and
significance level of 0.025 will be used. If p = 0.62, find the
probability of making a type II error, β.
Answer:
A. Fill in the
blanks below to describe the sampling distribution of ??� assuming
H0 is true.
Mean:
Standard
deviation:
Shape:
Sketch the sampling distribution of ??� assuming H0 is
true.
B. Specify...

Provide the Type I and Type II errors.
Claim: The proportion of car crashes occurring less than a mile
from home is .23.

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