Question

- Explain what a p-value means relative to hypothesis testing.

b. Explain why a |z critical value| and corresponding p-value are inversely related. (Vertical bars denote absolute value.)

c. Explain the difference between a one-tail and a two-tail test relative to hypothesis testing.

Answer #1

what is the difference between P-value and Traditional/Critical
value methods in hypothesis testing?

For a two-tail hypothesis test, the test statistic is z = 2.08.
What is the p-value?
For a one-tail hypothesis test, the test statistic is z = -2.18.
What is the p-value?

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.

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

Why is it important to compute confidence intervals for
estimates of population means or percentages?
A. Because every sample statistic is subject to error.
B. Because managers don’t like point estimates.
C. Because every sample statistic must be presented without
error.
D. Because the sample statistic = the population parameter.
The calculated z or t value is inversely related to the size of
the differences between two means or percentages (i.e., as the
difference between two means or percentage increases,...

T F 1. A p-value of .008 in hypothesis testing means there is
only a .8% chance we could get such sample statistics from the
population if the null hypothesis is as stated. Such an event is
considered unlikely and we would reject the null hypothesis.
T F 2. As a general rule in hypothesis testing, it is always
safer to set up your alternate hypothesis with a greater-than or
less-than orientation.
_____3. If the level of significance is .02...

The procedures for (1) determining confidence intervals to
estimate the mean and (2) hypothesis testing based on the
difference between one sample mean and a test value or on the
difference between two sample means both rely on sampling
distributions. Explain why sampling distributions are important for
each procedure.

question 1
what is the p-value if, in a two tail hypothesis test, ZSTAT =
+1.20? ( ROUND TO 4 DECIMAL PLACES)
question 2
If, in a (two-tail) hypothesis test, the p-value is 0.0523 ,
what is your statistical decision if you test the null hypothesis
at the 0.02 level of significance?
Choose the correct answer below?
a- since the p value is less than a , do not reject Ho
b- since the p value is greater than a...

Provide a real world example of a Type I error.
2. Explain what a critical value is, and explain how
it is used to test a hypothesis.
3. Explain what a p-value is, and explain how it is
used to test a hypothesis.
4. How do we decide whether to use a z test or a t
test when testing a hypothesis about a population mean?

The test statistic of z= "1.43" is obtained when
testing claims that p>0.4 using a significance level of a=0.01,
should we reject H0 or should we fail to reject H0. identify the
hypothesis test as being two-tailed, left-tail, or
right-tailed.
find the p-value

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