Question

1. After summarizing data collected to test a null hypothesis (e.g., observing z as a test statistic), a researcher fails to reject the null hypothesis (p > .05). The researcher then concludes that there is no treatment effect (treatment does not affect variation on the DV).

Is this a correct conclusion?

a. yes, it is correct

b. no, it is incorrect; a decision to fail to reject the null
hypothesis results in ignorance about a treatment effect

35. Consider z as a test statistic stated in prose:

An observed variation on the DV adjusted by (divided by) Expected
variation on the DV What is meant by Expected variation?

a. It is variation due to pure chance. b. It is random
variation.

c. It is error variation.

d. It is nonrandom variation.

e. any of the above, except for d

36. A researcher has observed z as a test statistic. To evaluate the single probability of occurrence of observing z with a decision rule set at less than .05, the researcher uses the standard normal distribution (the SND, a normal distribution of z scores) as a test distribution.

How does the researcher know whether to consider one or two tails of the test distribution—that is, do a one-tail or two-tail test?

Tell the researcher to look at the

a. initial hypothesis (H1)

b. null hypothesis (Hø)

Answer #1

1.

b. no, it is incorrect; a decision to fail to reject the null
hypothesis results in ignorance about a treatment effect

Fail to reject the null hypothesis suggests that we do do not have enough evidence to reject the null hypothesis. It does not say that the null hypothesis (no treatment effect) is true.

35.

The Expected variation is variation due to pure chance, random or error variation.

e. any of the above, except for d

36.

To decide for a one-tail or two-tail test, look at the initial or alternative hypothesis. If it has unequal operator () , it is non-directional or two-tail test. If it has < or > operator, it is directional or one-tailed test.

Tell the researcher to look at the

a. initial hypothesis (H1)

A researcher conducted a single-sample null hypothesis test with
the z-statistic. The researcher reports that z = +1.30. This
z-statistic was calculated from sample data that was drawn from a
normal population. The researcher sets α = .05 and uses a
two-tailed test. On the basis of his data, the researcher decides
to fail to reject the null hypothesis. Did the researcher make the
correct decision or did he make an error? If he made an error, what
type of...

A two-tailed hypothesis test is being used to evaluate a
treatment effect with α = .05. If the sample data produce a z-score
statistic of z = -1.24, then what is the correct decision?
Reject the null hypothesis and conclude that the treatment has
no effect.
Reject the null hypothesis and conclude that the treatment has
an effect.
Fail to reject the null hypothesis and conclude that the
treatment has an effect.
Fail to reject the null hypothesis and conclude...

Question #3
A researcher is conducting and experiment to evaluate a
treatment that is expected to increase the scores for individuals
in a population. If the researcher uses a one-tailed test with ( a
= .01), then which of the following correctly identifies the
critical region?
A. z > 2.33
B. z > 2.58
C. z < 2.33
D. z < 2.58
Question #4
A researcher evaluates a treatment effect using a two tailed
hypothesis test with ( a =...

A researcher is testing a hypothesis of a single mean. The
critical z value for = .05 and a one-tailed test is 1.645.
The observed z value from sample data is 1.13. The
decision made by the researcher based on this information is to
______ the null hypothesis.

a researcher conducts a hypothesis test to evaluate the effect
of the treatment that is expected to increases scores. the
hypothesis test produces a z-score of z= 2.75. if the researcher is
using a one tailed test, what is the correct statistical
decision?

For a one-tail (lower) hypothesis test, if the z- or t-test
statistic exceeds the critical value, we do not reject the null
hypothesis.
Select one:
True
False

research hypothesis stating the treatment effect in contrast to
the statement of null effect
alternative hypothesis
central limit theorem
sampling bias
two-tailed test
upper probability value allowed for rejecting the null
hypothesis
significance level
parameter
type 1 error
two-tailed test
drawing conclusions about a population from sample data
empirical data
inferential statistics
discrete distribution
random sampling
Assume that a new treatment for helping alcoholics isn't any
better than an old treatment. A researcher, who doesn't know this,
designs a study...

The null hypothesis is there will be no difference in the
frequency of graduates who are employed in residential treatment
facilities, community agencies, and private practice. The
researcher used a Chi-Square Goodness of Fit test to analyze the
data.
The expected frequency for each category of employment is 33.3%.
The raw data on frequencies is:
Residential Treatment
Facility
8
Community
Agency
12
Private
Practice
10
The output of the analysis is below. The results are
X2 (2, N...

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...

Questions D-F
d) You conduct a hypothesis test for the
population proportion. After you calculate the z test statistic,
you find that your p-value = 0.059. Using alpha (α) = 0.05 level of
significance, what is your decision regarding the null hypothesis?
Choose from the following.
- Reject the null hypothesis and reject the alternative
hypothesis
- Accept the null hypothesis
- Do not reject the null hypothesis
- Reject the null hypothesis and accept the alternative
hypothesis
e) You...

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