Question

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 when it is
false

**C.** Deciding the alternative hypothesis is true
when it is true

**D.** Deciding the alternative hypothesis is false
when it is true

**E.** All of the above

**F.** None of the above

Answer #1

**Question 1**

**We know that the Type I error is committed in a
hypothesis test, if the null hypothesis is rejected, when it is
actually True.**

**So, the correct answer is option (D) Deciding
the null hypothesis is false when it is true.**

**Question 2**

**We know that the Type II error is committed in a
hypothesis test, if the null hypothesis is accepted, when it is
actually False.**

**So, the correct answer is option (B) Deciding
the null hypothesis is true when it is false.**

(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...

(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.

A Type II error is committed when
Question 7 options:
a)
a true alternative hypothesis is mistakenly rejected
b)
a true null hypothesis is mistakenly rejected
c)
the sample size has been too small
d)
not enough information has been available

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

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.

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

1. A null hypothesis states that there is
A. No significant difference between a population parameter and
sample statistic.
B. A significant difference between a population parameter and
sample statistic.
C. The difference between the population parameter and sample
statistic is significant and can be attributed to sampling
error.
D. The difference between the population parameter and sample
statistic is insignificant and cannot be attributed to sampling
error.
E. None of the above
2. An alternative hypothesis states that there...

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...

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

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