Question

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 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

3. Which of the following is a correct statement:

A. A type II error occurs if you reject the null hypothesis when it is true.

B. A type I error occurs if you reject the null hypothesis when it is false.

C. A type 1 error occurs if you accept the null hypothesis when it is true.

D. A type I error occurs if you reject the null hypothesis when it is true.

E. None of the above are correct.

4. Which of the following is a correct statement:

A. A type II error occurs if you do not accept the null hypothesis when it is false.

B. A type II error occurs if you do not reject the null hypothesis when it is true.

C. A type II error occurs if you do not reject the null hypothesis when it is false.

D. A type I error occurs if you do not reject the null hypothesis when it is false.

E. None of the above are correct.

5. When considering our alternative hypothesis, words synonymous with "larger, more, higher, further, bigger" would be suggest which kind of hypothesis test?

A. Left tail B. 2 tail C. both A and B D. Right tail E. None of the above are correct

6. When considering our alternative hypothesis, words synonymous with "smaller, fewer, lower, decrease" would be suggest which kind of hypothesis test?

A. Left tail B. 2 tail C. both A and B D. Right tail E. None of the above are correct

7. Which is not a step in the hypothesis test process:

A. State Ho and h1 B. Find critical values C. Calculate test value (T or Z formula) D. Decide to Reject or Accept ho E. Calculate the range

8. The critical value separates the _____________________ from the ___________________.

A. non critical region, acceptance region B. rejection region, critical region C. alpha region, non-biased region D. non critical region, critical region E. none of the above

9. A test value landing in the ______________ region would be grounds for__________ the ________________ hypotheses.

A. non critical, rejecting, null B. non critical, accepting, alternative C. non-critical, accepting, null D. critical, accepting, null E. none of the above

10. In a two-tailed test, the null hypothesis should be: A.
rejected when the test value is in either of the two critical
regions B. accepted when the test value is in either of the two
critical regions C. rejected when the test value is in the
non-critical region. D none of the above are correct E. Both A and
C

Answer #1

Dear student, we can provide you with the solution of 4 sub question at a time.

1) option A is right

The null hypothesis is the hypothesis a researcher or experimenter will try to disprove.

No significant difference between a population parameter and sample statistic.

2) option B is right.

A significant difference between a population parameter and the sample statistic.

An alternative hypothesis is one that states the test is significant.

3) Type I error is the incorrect rejection of a true null hypothesis.

A type II error is also known as a false negative and occurs when a researcher fails to reject a null hypothesis which is really false

option D is right

4) option C is right.

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

5. When considering our alternative hypothesis, words synonymous
with "larger, more, higher, further, bigger" would be suggest which
kind of hypothesis test?
A. Left tail B. 2 tail C. both A and B D. Right tail E. None of
the above are correct
6. When considering our alternative hypothesis, words synonymous
with "smaller, fewer, lower, decrease" would be suggest which kind
of hypothesis test?
A. Left tail B. 2 tail C. both A and B D. Right tail E. None...

(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...

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...

Assume the claim was null hypothesis. If the
analysis contradicted the null about a population parameter then
the alternative is supported, i.e., the claim is not supported.
True b. False
The null hypothesis is considered correct until proven
otherwise.
True b. False
If the claim is that a population parameter is
not a specific value, the particular type of problem would
be considered a one-tailed test.
True b. False
If the null hypothesis is rejected, this tells us that the
alternative is absolutely true.
True b. False
Hypothesis testing...

8. In the population, there is no difference between men and
women on a certain test.
However, the mean for men was higher than the mean for women in
your sample, and with a t of 4.532 and a p-value of .004, you have
determined it is appropriate to reject the null hypothesis and
conclude a difference does exist.
What type of error did you make?
A. Type I
B. Type II
C. You confirmed the null hypothesis.
D. Standard...

_____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....

The null hypothesis states there will be no difference in scores
on the ADS between those who receive the standard treatment program
and those who receive the standard treatment program plus
Mindfulness Therapy.
The output from the analysis is below. The results are
t(19) = 1.554, p = .137.
Paired Sample Statistics
Mean
N
Std Deviation
Std. Error Mean
Pair 1 Standard
Std. Mindfulness
12.8000
10.9500
20
20
3.81962
4.28553
.85409
.95827
Paired Samples Correlations
N
Correlations
Sig
Pair 1...

1. Which of the following is a major difference between a
hypothesis test with a t statistic and the test with a z-score?
a.
You must know the population standard deviation for the z-score
but not for the t statistic.
b.
You use the normal distribution table to find critical values
for t but not for z.
c.
You must know the population median for the z-score but not for
the t statistic.
d.
There are no major differences between...

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