Question

When you incorrectly reject the null hypothesis and claim there are significant differences between your two means, and no such difference exists in the population, you have a(n)______

Type I Error

Unstandardized effect size

Type II Error

There is not enough information given to determine

A Type II Error occurs when you fail to reject the null hypothesis
when it is true

True or False

Answer #1

Answer:-

From the above information

a.

When you incorrectly reject the null hypothesis and claim there
are significant differences between your two means, and no such
difference exists in the population, you have a **Type I
error**

**Because** type I error is defined as reject Ho
when it is true.

b .

A Type II Error occurs when you fail to reject the null
hypothesis when it is true it is **false
statement.**

**Because ,** Type II error is defined as fail to
reject the null hypothesis when it is false.

Thanks dear student.

The null hypothesis is the prediction that there are no
differences between the mean of the population and the mean of your
sample. Question 1 options: True False Save Question 2 (1 point)
The hypothesis that your sample mean is significantly different
from the population mean is called the Alternative hypothesis or
_________________. Question 2 options: a) Null hypothesis b)
Research Hypothesis c) One-Tailed Test d) Two-Tailed test Save
Question 3 (1 point) If you are running a test to...

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...

The primary purpose of hypothesis testing is to attempt to
reject the null hypothesis not to accept the alternative
hypothesis.
True
False
In hypothesis testing, a Type 1 error is
failing to reject the null hypothesis when it is true.
failing to reject the null hypothesis when it is false.
rejecting the null hypothesis when it is true.
rejecting the null hypothesis when it is false.
In general, the power of a statistical test is the probability
that a test...

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...

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,...

(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...

Think about the context of the claim.Determine whether you want
to support or reject the claim.
a.State the null and alternative hypotheses in words.
b.Write the null and alternative hypotheses in appropriate
symbols
c.Describe in words Type I error (the consequence of rejecting a
true null hypothesis.)
d.Describe in words Type II error (the consequence of failing to
reject a false null hypothesis.)
You represent a chemical company that is being sued for paint
damage to automobiles. You want to...

(a) standard error (b)
F-ratio
(c) assumption (d) degrees of freedom
(e) null hypothesis (f) control
group (g)
experiment (h) alternative
hypothesis
(i)
power
(j) normal distribution (k) randomness (l)
directional test
(m) effect
size
(n)
single-blind
(o) double-blind (p) sampling distribution
(q) Type I error
(r) Type II
error (s)
Cohen’s d (t) central limit
theorem
1) The probability to reject the null hypothesis (when it is
indeed false) refers to ( type I...

When we conduct a hypothesis test, there are two ways to make a
mistake. The null hypothesis might be correct, and we end up
rejecting it. This is called a Type I error. On the other hand, the
null hypothesis might be false, and we fail to reject it. This is
called a Type II error. Either type of error can be costly, though
not necessarily equally costly. In the following two scenarios,
think about what is the alternative hypothesis?...

Question 5
When you reject the null hypothesis for the
relationship between age and opinions on abortion, you are
saying:
There is a relationship between age and opinions on abortion in
the population.
There is not a relationship between age and opinions on
abortion in the population.
You are saying nothing about the population.
You are saying that the measure of association between age and
opinions on abortion in the population is 0.
Question 6
If your Phi measure...

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