Question

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 find out whether
or not a particular drug works better than a placebo in controlling
depression, and you have no idea whether the effects of the drug
will increase depression or decrease depression, you want to run a
_____________. Question 3 options: a) Research study b) One-Tailed
Test c) NHST d) Two-Tailed Test Save Question 4 (1 point) 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) _____________
Question 4 options: a) Type I Error b) unstandardized effect size
c) Type II Error d) there is not enough information given to
determine Save Question 5 (1 point) A Type II Error occurs when you
fail to reject the null hypothesis when it is true. Question 5
options: a) True b) False ****Please help me with my
homework I only got 2/5 correct. Thank you****

Answer #1

1)true

2)The hypothesis that your sample mean is significantly different from the population mean is called the Alternative hypothesis or b) Research Hypothesis

3) If you are running a test to find out whether or not a particular drug works better than a placebo in controlling depression, and you have no idea whether the effects of the drug will increase depression or decrease depression, you want to run a d) Two-Tailed Test

4)

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 a) Type I Error

5)

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

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

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...

Conduct a test of the null hypothesis that the mean height for
all students in the Census at School database is equal to 155 cm vs
the alternative that the mean Height is greater than 155 cm. Use a
significance level of 0.05.
a. State the null and alternative hypotheses.
Ho: m = 155
Ha: m > 155
b. Provide the Statcrunch output table.
Hypothesis test results:
Variable
Sample Mean
Std. Err.
DF
T-Stat
P-value
Height
159.86
1.7311103
49
2.8074468...

(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...

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. The P-value of a test of the null hypothesis is
a. the probability the null hypothesis is true.
b. the probability the null hypothesis is false.
c. the probability, assuming the null hypothesis is false, that
the test statistic will take a value at least as extreme as that
actually observed.
d. the probability, assuming the null hypothesis is true, that
the test statistic will take a value at least as extreme as that
actually observed.
2. The P-value...

_____11) If the null hypothesis is that the population mean is
equal to 150 and a sample
mean of 113 gave significant support against the
null hypothesis, which of the
following sample means would be certain to give
support against the null
hypothesis.
a)
114
b.)
122
c.)
264
d.)
112
_____12) If the p-value is less than the significance level, you
would .
a.) reject
the null hypothesis
b.) accept...

1. Insofar as we must generalize from a sample to a population,
the observed difference between the sample mean and the
hypothesized population mean a) can't be interpreted at face value.
b) might be due to variability or chance. c) might be real. d) is
described by all of the above
2. The advantage of a one-tailed test is that it increases the
likelihood of detecting a a) false null hypothesis. b) false null
hypothesis in the direction of concern....

It is known that the status quo of the population mean is 88. A
sample of size 50 is taken and the sample mean is computed as 85.
You decided to reject the null hypothesis that the population mean
is at least 88 and to be in favor of the alternative hypothesis
that the population mean is less than 88.
Select one:
A. We may commit a Type II error if the null hypothesis
is false.
B. We may commit...

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