Question

question 1

1)

- Consider a significance test for a null hypothesis versus a
two-sided alternative. State all values of a standard normal test
statistic
*z*that will give a result significant at the 10% level but not at the 5% level of significance. (Sec. 6.2)

- You perform 1,000 significance tests using
*α*= 0.01. Assuming that all the null hypotheses are true, how many of the test results would you expect to be statistically significant? Explain your answer. (Sec. 6.3)

- One way to deal with the problem of misleading
*P*-values when performing more than one significance test is to adjust the criterion you use for statistical significance. The*Bonferroni correction**procedure*for*k*independent hypothesis tests at an overall level of significance*α*requires conducting each individual test at the*α*/*k*level of significance. You perform 5 independent tests of significance and observe the following*P*-values: 0.0773, 0.0524, 0.0308, 0.0127, and 0.0098. Which of these tests are statistically significant using the Bonferroni correction procedure with*α*= 10%. (Sec. 6.3)

Answer #1

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Question 4 please although I am unsure of my answers for the
rest as well :(
Here is the full list for background info.
Consider a significance test for a null hypothesis versus a
two-sided alternative. State all values of a standard normal test
statistic z that will give a result significant at the 10%
level but not at the 5% level of significance. (Sec. 6.2)
You perform 1,000 significance tests using α = 0.01.
Assuming that all the null...

Consider a significance test for a null hypothesis versus a
two-sided alternative. Give a value of z (±0.001) that will give a
result significant at the 4 % level but not at the 2 % level.

You perform 3800 significance tests using a significance level
of 6%. Assuming that the null hypothesis is true, how many of the
test results would you expect to be statistically significant?
Please show working for the problem.

1. In testing a null hypothesis H0 versus an alternative Ha, H0
is ALWAYS rejected if
A. at least one sample observation falls in the non-rejection
region.
B. the test statistic value is less than the critical value.
C. p-value ≥ α where α is the level of significance. 1
D. p-value < α where α is the level of significance.
2. In testing a null hypothesis H0 : µ = 0 vs H0 : µ > 0,
suppose Z...

3. Give an example to state the null hypothesis.
4. Assume a trial involves two independent tests. What is the
complementary event of the event that we would reject one or more
of the two null hypotheses?
5. Assume a trial involves two independent tests. Each test is
declared statistically significant if p value <0.05. If H0 is
true, what is the probability that we would reject one or more of
the two null hypotheses?

Perform a hypothesis for the null and alternative
hypotheses:
??:?? =? ??:?? <?
The following is the sample information.
?̅=?.? ?? =?.? ?=?? ?=?.??
a. (1 point) Calculate the appropriate test statistic, p-value,
and give a general conclusion of reject or fail to reject the null
hypothesis based on the significance level. Show all work
b. (1 point) Now suppose you know ?? = 1.2. Calculate the
appropriate test statistic, p-value and give a general conclusion
of reject or fail...

For each question please state your null and alternative
hypothesis, your p-value and conclusion of your hypothesis test.
You may use your calculator to perform the hypothesis.
A roper Poll claims that 5% of U.S. adults have had vivid dreams
about UFOs. You decide to test this claim and ask a random sample
of 250 U.S. adults whether they have had vivid dreams about UFOs.
Of those surveyed, 8% reply yes. A the .01 significance
level , is there enough...

___ non-directional test
___ directional test
___ alpha
level
___ null hypothesis
___ alternative
hypothesis e.
___ rejection range
___
inferential
___
inference
___ significance tests
___ statistical power
a. The hypothesis that is rejected or retained using inferential
statistics and is often the opposite of what the researcher
believes to be true.
b. The researcher hypothesizes that a given score will be either
higher or lower than the chosen level of significance.
c. The likelihood of rejecting the null hypothesis...

Identify the null and alternative hypothesis(in symbolic and
sentence form), test statistic, P-value(or critical values),
conclusion about the null hypothesis, and final conclusion that
addresses the original claim (Don’t just say Reject the null
hypothesis or fail to reject the null hypothesis).
3. Test the claim that for the population of female college
students, the mean weight is given by μ=132 lb Sample data are
summarized as n=20,x ̅=137lb and s=14.2. Use a significance level
of α=0.10.

Identify the null and alternative hypothesis(in symbolic and
sentence form), test statistic, P-value(or critical values),
conclusion about the null hypothesis, and final conclusion that
addresses the original claim (Don’t just say Reject the null
hypothesis or fail to reject the null hypothesis).
4. Test the claim that the mean age of the prison population in
one city is less than 26 years. Sample data are summarized as
n=25,x ̅=24.4,and s=9.2. Use a significance level of α=0.05.

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