Question

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 error did he make? Why? If he made the correct decision, what can he conclude from his study? Why?

Answer #1

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.

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...

no explanation required:
Question 24
A researcher obtains a test statistic of z = –2.04 for
a one-sample z-test. What is the decision for this test at a .05
level of significance?
Select one:
a. Reject the null hypothesis
b. There is not enough information to make a
decision.
c. Fail to reject the null hypothesis
Q 25
Question 25
A key difference between a t-statistic and a
z-statistic is that the standard error is ______ to compute a
t-statistic....

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 =...

P_1
A sample of n = 15 produces a single sample t statistic of t = -
2.12. If the researcher is using a two-tailed test for hypotheses
testing, which of the following is the correct statistical
decision?
A. The researcher can reject the null hypothesis with α = .05
but not with α = .01.
B. The researcher can reject the null hypothesis with either α =
.05 or α = .01.
C. It is impossible to make a...

a researcher conducts a hypothesis test to evaluate the effect
of the treatment. the hypothesis test produces a z-score of z=
2.75. Assuming that the researcher is using a two-tailed test,what
decision should be made?

1. Assume that a hypothesis test will be conducted with null
hypothesis H0: μ > 20.
Find the critical value for a sample with n = 15 and α = 0.05.
Group of answer choices
a. 2.145
b.-1.761
c. -1.753
2. The test statistic in a left-tailed test is z = -2.05.
Use this information to find the p-value.
Group of answer choices
a. 0.0202
b. 0.0453
c. 0.4798
0.5000

If one is making a two-tailed test and the value of the z test
statistic is -11.12, a correct conclusion from this is
Group of answer choices:
do not reject HO
a type II error has been made.
reject HO
reject HO at the .05 level but not at the .01 level.

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...

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...

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