Question

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

Answer #1

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What is a type I error?
Select one:
a. reject Ho when it is true
b. fail to reject Ho when its not true
c. beta risk
d. reject Ha when it is false

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...

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.

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...

(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...

9. A Type I error
occurs when we accept a false null hypothesis. true or false

(Please show explanations for study
purposes)
A Type I error occurs when:
The alternative hypothesis is true, and the null hypothesis is
rejected.
The alternative hypothesis is false, and the null hypothesis is
rejected.
The alternative hypothesis is true, and the null hypothesis is
accepted.
The alternative hypothesis is false, and the null hypothesis is
accepted.

The probability of committing a Type I error when the null
hypothesis is true as an equality is
a. The confidence level
b. p
c. Greater than 1
d. The level of significance

Type I error is:
A. Deciding the alternative hypothesis is true
when it is false
B. Deciding the alternative hypothesis is true
when it is true
C. Deciding the null hypothesis is true when it is
false
D. Deciding the null hypothesis is false 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 null hypothesis is true...

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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